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|
plugin_name: proc.plugin
modules:
- meta:
plugin_name: proc.plugin
module_name: /proc/stat
monitored_instance:
name: System statistics
link: ""
categories:
- data-collection.linux-systems.system-metrics
icon_filename: "linuxserver.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- cpu utilization
- process counts
most_popular: false
overview:
data_collection:
metrics_description: |
CPU utilization, states and frequencies and key Linux system performance metrics.
The `/proc/stat` file provides various types of system statistics:
- The overall system CPU usage statistics
- Per CPU core statistics
- The total context switching of the system
- The total number of processes running
- The total CPU interrupts
- The total CPU softirqs
The collector also reads:
- `/proc/schedstat` for statistics about the process scheduler in the Linux kernel.
- `/sys/devices/system/cpu/[X]/thermal_throttle/core_throttle_count` to get the count of thermal throttling events for a specific CPU core on Linux systems.
- `/sys/devices/system/cpu/[X]/thermal_throttle/package_throttle_count` to get the count of thermal throttling events for a specific CPU package on a Linux system.
- `/sys/devices/system/cpu/[X]/cpufreq/scaling_cur_freq` to get the current operating frequency of a specific CPU core.
- `/sys/devices/system/cpu/[X]/cpufreq/stats/time_in_state` to get the amount of time the CPU has spent in each of its available frequency states.
- `/sys/devices/system/cpu/[X]/cpuidle/state[X]/name` to get the names of the idle states for each CPU core in a Linux system.
- `/sys/devices/system/cpu/[X]/cpuidle/state[X]/time` to get the total time each specific CPU core has spent in each idle state since the system was started.
method_description: ""
supported_platforms:
include: ["linux"]
exclude: []
multi_instance: false
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: |
The collector auto-detects all metrics. No configuration is needed.
limits:
description: ""
performance_impact:
description: |
The collector disables cpu frequency and idle state monitoring when there are more than 128 CPU cores available.
setup:
prerequisites:
list: []
configuration:
file:
section_name: "plugin:proc:/proc/stat"
name: "netdata.conf"
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: 10min_cpu_usage
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/cpu.conf
metric: system.cpu
info: average CPU utilization over the last 10 minutes (excluding iowait, nice and steal)
os: "linux"
- name: 10min_cpu_iowait
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/cpu.conf
metric: system.cpu
info: average CPU iowait time over the last 10 minutes
os: "linux"
- name: 20min_steal_cpu
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/cpu.conf
metric: system.cpu
info: average CPU steal time over the last 20 minutes
os: "linux"
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: system.cpu
description: Total CPU utilization
unit: "percentage"
chart_type: stacked
dimensions:
- name: guest_nice
- name: guest
- name: steal
- name: softirq
- name: irq
- name: user
- name: system
- name: nice
- name: iowait
- name: idle
- name: system.intr
description: CPU Interrupts
unit: "interrupts/s"
chart_type: line
dimensions:
- name: interrupts
- name: system.ctxt
description: CPU Context Switches
unit: "context switches/s"
chart_type: line
dimensions:
- name: switches
- name: system.forks
description: Started Processes
unit: "processes/s"
chart_type: line
dimensions:
- name: started
- name: system.processes
description: System Processes
unit: "processes"
chart_type: line
dimensions:
- name: running
- name: blocked
- name: cpu.core_throttling
description: Core Thermal Throttling Events
unit: "events/s"
chart_type: line
dimensions:
- name: a dimension per cpu core
- name: cpu.package_throttling
description: Package Thermal Throttling Events
unit: "events/s"
chart_type: line
dimensions:
- name: a dimension per package
- name: cpu.cpufreq
description: Current CPU Frequency
unit: "MHz"
chart_type: line
dimensions:
- name: a dimension per cpu core
- name: cpu core
description: ""
labels:
- name: cpu
description: TBD
metrics:
- name: cpu.cpu
description: Core utilization
unit: "percentage"
chart_type: stacked
dimensions:
- name: guest_nice
- name: guest
- name: steal
- name: softirq
- name: irq
- name: user
- name: system
- name: nice
- name: iowait
- name: idle
- name: cpuidle.cpu_cstate_residency_time
description: C-state residency time
unit: "percentage"
chart_type: stacked
dimensions:
- name: a dimension per c-state
- meta:
plugin_name: proc.plugin
module_name: /proc/sys/kernel/random/entropy_avail
monitored_instance:
name: Entropy
link: ""
categories:
- data-collection.linux-systems.system-metrics
icon_filename: "syslog.png"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- entropy
most_popular: false
overview:
data_collection:
metrics_description: |
Entropy, a measure of the randomness or unpredictability of data.
In the context of cryptography, entropy is used to generate random numbers or keys that are essential for
secure communication and encryption. Without a good source of entropy, cryptographic protocols can become
vulnerable to attacks that exploit the predictability of the generated keys.
In most operating systems, entropy is generated by collecting random events from various sources, such as
hardware interrupts, mouse movements, keyboard presses, and disk activity. These events are fed into a pool
of entropy, which is then used to generate random numbers when needed.
The `/dev/random` device in Linux is one such source of entropy, and it provides an interface for programs
to access the pool of entropy. When a program requests random numbers, it reads from the `/dev/random` device,
which blocks until enough entropy is available to generate the requested numbers. This ensures that the
generated numbers are truly random and not predictable.
However, if the pool of entropy gets depleted, the `/dev/random` device may block indefinitely, causing
programs that rely on random numbers to slow down or even freeze. This is especially problematic for
cryptographic protocols that require a continuous stream of random numbers, such as SSL/TLS and SSH.
To avoid this issue, some systems use a hardware random number generator (RNG) to generate high-quality
entropy. A hardware RNG generates random numbers by measuring physical phenomena, such as thermal noise or
radioactive decay. These sources of randomness are considered to be more reliable and unpredictable than
software-based sources.
One such hardware RNG is the Trusted Platform Module (TPM), which is a dedicated hardware chip that is used
for cryptographic operations and secure boot. The TPM contains a built-in hardware RNG that generates
high-quality entropy, which can be used to seed the pool of entropy in the operating system.
Alternatively, software-based solutions such as `Haveged` can be used to generate additional entropy by
exploiting sources of randomness in the system, such as CPU utilization and network traffic. These solutions
can help to mitigate the risk of entropy depletion, but they may not be as reliable as hardware-based solutions.
method_description: ""
supported_platforms:
include: ["linux"]
exclude: []
multi_instance: false
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: lowest_entropy
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/entropy.conf
metric: system.entropy
info: minimum number of bits of entropy available for the kernel’s random number generator
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: system.entropy
description: Available Entropy
unit: "entropy"
chart_type: line
dimensions:
- name: entropy
- meta:
plugin_name: proc.plugin
module_name: /proc/uptime
monitored_instance:
name: System Uptime
link: ""
categories:
- data-collection.linux-systems.system-metrics
icon_filename: "linuxserver.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- uptime
most_popular: false
overview:
data_collection:
metrics_description: |
The amount of time the system has been up (running).
Uptime is a critical aspect of overall system performance:
- **Availability**: Uptime monitoring can show whether a server is consistently available or experiences frequent downtimes.
- **Performance Monitoring**: While server uptime alone doesn't provide detailed performance data, analyzing the duration and frequency of downtimes can help identify patterns or trends.
- **Proactive problem detection**: If server uptime monitoring reveals unexpected downtimes or a decreasing uptime trend, it can serve as an early warning sign of potential problems.
- **Root cause analysis**: When investigating server downtime, the uptime metric alone may not provide enough information to pinpoint the exact cause.
- **Load balancing**: Uptime data can indirectly indicate load balancing issues if certain servers have significantly lower uptimes than others.
- **Optimize maintenance efforts**: Servers with consistently low uptimes or frequent downtimes may require more attention.
- **Compliance requirements**: Server uptime data can be used to demonstrate compliance with regulatory requirements or SLAs that mandate a minimum level of server availability.
method_description: ""
supported_platforms:
include: ["linux"]
exclude: []
multi_instance: false
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts: []
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: system.uptime
description: System Uptime
unit: "seconds"
chart_type: line
dimensions:
- name: uptime
- meta:
plugin_name: proc.plugin
module_name: /proc/vmstat
monitored_instance:
name: Memory Statistics
link: ""
categories:
- data-collection.linux-systems.memory-metrics
icon_filename: "linuxserver.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- swap
- page faults
- oom
- numa
most_popular: false
overview:
data_collection:
metrics_description: |
Linux Virtual memory subsystem.
Information about memory management, indicating how effectively the kernel allocates and frees
memory resources in response to system demands.
Monitors page faults, which occur when a process requests a portion of its memory that isn't
immediately available. Monitoring these events can help diagnose inefficiencies in memory management and
provide insights into application behavior.
Tracks swapping activity — a vital aspect of memory management where the kernel moves data from RAM to
swap space, and vice versa, based on memory demand and usage. It also monitors the utilization of zswap,
a compressed cache for swap pages, and provides insights into its usage and performance implications.
In the context of virtualized environments, it tracks the ballooning mechanism which is used to balance
memory resources between host and guest systems.
For systems using NUMA architecture, it provides insights into the local and remote memory accesses, which
can impact the performance based on the memory access times.
The collector also watches for 'Out of Memory' kills, a drastic measure taken by the system when it runs out
of memory resources.
method_description: ""
supported_platforms:
include: ["linux"]
exclude: []
multi_instance: false
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: 30min_ram_swapped_out
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/swap.conf
metric: mem.swapio
info: percentage of the system RAM swapped in the last 30 minutes
os: "linux freebsd"
- name: oom_kill
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/ram.conf
metric: mem.oom_kill
info: number of out of memory kills in the last 30 minutes
os: "linux"
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: mem.swapio
description: Swap I/O
unit: "KiB/s"
chart_type: area
dimensions:
- name: in
- name: out
- name: system.pgpgio
description: Memory Paged from/to disk
unit: "KiB/s"
chart_type: area
dimensions:
- name: in
- name: out
- name: system.pgfaults
description: Memory Page Faults
unit: "faults/s"
chart_type: line
dimensions:
- name: minor
- name: major
- name: mem.balloon
description: Memory Ballooning Operations
unit: "KiB/s"
chart_type: line
dimensions:
- name: inflate
- name: deflate
- name: migrate
- name: mem.zswapio
description: ZSwap I/O
unit: "KiB/s"
chart_type: area
dimensions:
- name: in
- name: out
- name: mem.ksm_cow
description: KSM Copy On Write Operations
unit: "KiB/s"
chart_type: line
dimensions:
- name: swapin
- name: write
- name: mem.thp_faults
description: Transparent Huge Page Fault Allocations
unit: "events/s"
chart_type: line
dimensions:
- name: alloc
- name: fallback
- name: fallback_charge
- name: mem.thp_file
description: Transparent Huge Page File Allocations
unit: "events/s"
chart_type: line
dimensions:
- name: alloc
- name: fallback
- name: mapped
- name: fallback_charge
- name: mem.thp_zero
description: Transparent Huge Zero Page Allocations
unit: "events/s"
chart_type: line
dimensions:
- name: alloc
- name: failed
- name: mem.thp_collapse
description: Transparent Huge Pages Collapsed by khugepaged
unit: "events/s"
chart_type: line
dimensions:
- name: alloc
- name: failed
- name: mem.thp_split
description: Transparent Huge Page Splits
unit: "events/s"
chart_type: line
dimensions:
- name: split
- name: failed
- name: split_pmd
- name: split_deferred
- name: mem.thp_swapout
description: Transparent Huge Pages Swap Out
unit: "events/s"
chart_type: line
dimensions:
- name: swapout
- name: fallback
- name: mem.thp_compact
description: Transparent Huge Pages Compaction
unit: "events/s"
chart_type: line
dimensions:
- name: success
- name: fail
- name: stall
- name: mem.oom_kill
description: Out of Memory Kills
unit: "kills/s"
chart_type: line
dimensions:
- name: kills
- name: mem.numa
description: NUMA events
unit: "events/s"
chart_type: line
dimensions:
- name: local
- name: foreign
- name: interleave
- name: other
- name: pte_updates
- name: huge_pte_updates
- name: hint_faults
- name: hint_faults_local
- name: pages_migrated
- meta:
plugin_name: proc.plugin
module_name: /proc/interrupts
monitored_instance:
name: Interrupts
link: ""
categories:
- data-collection.linux-systems.cpu-metrics
icon_filename: "linuxserver.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- interrupts
most_popular: false
overview:
data_collection:
metrics_description: |
Monitors `/proc/interrupts`, a file organized by CPU and then by the type of interrupt.
The numbers reported are the counts of the interrupts that have occurred of each type.
An interrupt is a signal to the processor emitted by hardware or software indicating an event that needs
immediate attention. The processor then interrupts its current activities and executes the interrupt handler
to deal with the event. This is part of the way a computer multitasks and handles concurrent processing.
The types of interrupts include:
- **I/O interrupts**: These are caused by I/O devices like the keyboard, mouse, printer, etc. For example, when
you type something on the keyboard, an interrupt is triggered so the processor can handle the new input.
- **Timer interrupts**: These are generated at regular intervals by the system's timer circuit. It's primarily
used to switch the CPU among different tasks.
- **Software interrupts**: These are generated by a program requiring disk I/O operations, or other system resources.
- **Hardware interrupts**: These are caused by hardware conditions such as power failure, overheating, etc.
Monitoring `/proc/interrupts` can be used for:
- **Performance tuning**: If an interrupt is happening very frequently, it could be a sign that a device is not
configured correctly, or there is a software bug causing unnecessary interrupts. This could lead to system
performance degradation.
- **System troubleshooting**: If you're seeing a lot of unexpected interrupts, it could be a sign of a hardware problem.
- **Understanding system behavior**: More generally, keeping an eye on what interrupts are occurring can help you
understand what your system is doing. It can provide insights into the system's interaction with hardware,
drivers, and other parts of the kernel.
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts: []
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: system.interrupts
description: System interrupts
unit: "interrupts/s"
chart_type: stacked
dimensions:
- name: a dimension per device
- name: cpu core
description: ""
labels:
- name: cpu
description: TBD
metrics:
- name: cpu.interrupts
description: CPU interrupts
unit: "interrupts/s"
chart_type: stacked
dimensions:
- name: a dimension per device
- meta:
plugin_name: proc.plugin
module_name: /proc/loadavg
monitored_instance:
name: System Load Average
link: ""
categories:
- data-collection.linux-systems.system-metrics
icon_filename: "linuxserver.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- load
- load average
most_popular: false
overview:
data_collection:
metrics_description: |
The `/proc/loadavg` file provides information about the system load average.
The load average is a measure of the amount of computational work that a system performs. It is a
representation of the average system load over a period of time.
This file contains three numbers representing the system load averages for the last 1, 5, and 15 minutes,
respectively. It also includes the currently running processes and the total number of processes.
Monitoring the load average can be used for:
- **System performance**: If the load average is too high, it may indicate that your system is overloaded.
On a system with a single CPU, if the load average is 1, it means the single CPU is fully utilized. If the
load averages are consistently higher than the number of CPUs/cores, it may indicate that your system is
overloaded and tasks are waiting for CPU time.
- **Troubleshooting**: If the load average is unexpectedly high, it can be a sign of a problem. This could be
due to a runaway process, a software bug, or a hardware issue.
- **Capacity planning**: By monitoring the load average over time, you can understand the trends in your
system's workload. This can help with capacity planning and scaling decisions.
Remember that load average not only considers CPU usage, but also includes processes waiting for disk I/O.
Therefore, high load averages could be due to I/O contention as well as CPU contention.
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: false
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: load_cpu_number
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/load.conf
metric: system.load
info: number of active CPU cores in the system
os: "linux"
- name: load_average_15
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/load.conf
metric: system.load
info: system fifteen-minute load average
os: "linux"
- name: load_average_5
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/load.conf
metric: system.load
info: system five-minute load average
os: "linux"
- name: load_average_1
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/load.conf
metric: system.load
info: system one-minute load average
os: "linux"
- name: active_processes
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/processes.conf
metric: system.active_processes
info: system process IDs (PID) space utilization
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: system.load
description: System Load Average
unit: "load"
chart_type: line
dimensions:
- name: load1
- name: load5
- name: load15
- name: system.active_processes
description: System Active Processes
unit: "processes"
chart_type: line
dimensions:
- name: active
- meta:
plugin_name: proc.plugin
module_name: /proc/pressure
monitored_instance:
name: Pressure Stall Information
link: ""
categories:
- data-collection.linux-systems.pressure-metrics
icon_filename: "linuxserver.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- pressure
most_popular: false
overview:
data_collection:
metrics_description: |
Introduced in Linux kernel 4.20, `/proc/pressure` provides information about system pressure stall information
(PSI). PSI is a feature that allows the system to track the amount of time the system is stalled due to
resource contention, such as CPU, memory, or I/O.
The collectors monitored 3 separate files for CPU, memory, and I/O:
- **cpu**: Tracks the amount of time tasks are stalled due to CPU contention.
- **memory**: Tracks the amount of time tasks are stalled due to memory contention.
- **io**: Tracks the amount of time tasks are stalled due to I/O contention.
- **irq**: Tracks the amount of time tasks are stalled due to IRQ contention.
Each of them provides metrics for stall time over the last 10 seconds, 1 minute, 5 minutes, and 15 minutes.
Monitoring the /proc/pressure files can provide important insights into system performance and capacity planning:
- **Identifying resource contention**: If these metrics are consistently high, it indicates that tasks are
frequently being stalled due to lack of resources, which can significantly degrade system performance.
- **Troubleshooting performance issues**: If a system is experiencing performance issues, these metrics can
help identify whether resource contention is the cause.
- **Capacity planning**: By monitoring these metrics over time, you can understand trends in resource
utilization and make informed decisions about when to add more resources to your system.
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: false
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts: []
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: system.cpu_some_pressure
description: CPU some pressure
unit: "percentage"
chart_type: line
dimensions:
- name: some10
- name: some60
- name: some300
- name: system.cpu_some_pressure_stall_time
description: CPU some pressure stall time
unit: "ms"
chart_type: line
dimensions:
- name: time
- name: system.cpu_full_pressure
description: CPU full pressure
unit: "percentage"
chart_type: line
dimensions:
- name: some10
- name: some60
- name: some300
- name: system.cpu_full_pressure_stall_time
description: CPU full pressure stall time
unit: "ms"
chart_type: line
dimensions:
- name: time
- name: system.memory_some_pressure
description: Memory some pressure
unit: "percentage"
chart_type: line
dimensions:
- name: some10
- name: some60
- name: some300
- name: system.memory_some_pressure_stall_time
description: Memory some pressure stall time
unit: "ms"
chart_type: line
dimensions:
- name: time
- name: system.memory_full_pressure
description: Memory full pressure
unit: "percentage"
chart_type: line
dimensions:
- name: some10
- name: some60
- name: some300
- name: system.memory_full_pressure_stall_time
description: Memory full pressure stall time
unit: "ms"
chart_type: line
dimensions:
- name: time
- name: system.io_some_pressure
description: I/O some pressure
unit: "percentage"
chart_type: line
dimensions:
- name: some10
- name: some60
- name: some300
- name: system.io_some_pressure_stall_time
description: I/O some pressure stall time
unit: "ms"
chart_type: line
dimensions:
- name: time
- name: system.io_full_pressure
description: I/O some pressure
unit: "percentage"
chart_type: line
dimensions:
- name: some10
- name: some60
- name: some300
- name: system.io_full_pressure_stall_time
description: I/O some pressure stall time
unit: "ms"
chart_type: line
dimensions:
- name: time
- meta:
plugin_name: proc.plugin
module_name: /proc/softirqs
monitored_instance:
name: SoftIRQ statistics
link: ""
categories:
- data-collection.linux-systems.cpu-metrics
icon_filename: "linuxserver.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- softirqs
- interrupts
most_popular: false
overview:
data_collection:
metrics_description: |
In the Linux kernel, handling of hardware interrupts is split into two halves: the top half and the bottom half.
The top half is the routine that responds immediately to an interrupt, while the bottom half is deferred to be processed later.
Softirqs are a mechanism in the Linux kernel used to handle the bottom halves of interrupts, which can be
deferred and processed later in a context where it's safe to enable interrupts.
The actual work of handling the interrupt is offloaded to a softirq and executed later when the system
decides it's a good time to process them. This helps to keep the system responsive by not blocking the top
half for too long, which could lead to missed interrupts.
Monitoring `/proc/softirqs` is useful for:
- **Performance tuning**: A high rate of softirqs could indicate a performance issue. For instance, a high
rate of network softirqs (`NET_RX` and `NET_TX`) could indicate a network performance issue.
- **Troubleshooting**: If a system is behaving unexpectedly, checking the softirqs could provide clues about
what is going on. For example, a sudden increase in block device softirqs (BLOCK) might indicate a problem
with a disk.
- **Understanding system behavior**: Knowing what types of softirqs are happening can help you understand what
your system is doing, particularly in terms of how it's interacting with hardware and how it's handling
interrupts.
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts: []
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: system.softirqs
description: System softirqs
unit: "softirqs/s"
chart_type: stacked
dimensions:
- name: a dimension per softirq
- name: cpu core
description: ""
labels:
- name: cpu
description: TBD
metrics:
- name: cpu.softirqs
description: CPU softirqs
unit: "softirqs/s"
chart_type: stacked
dimensions:
- name: a dimension per softirq
- meta:
plugin_name: proc.plugin
module_name: /proc/net/softnet_stat
monitored_instance:
name: Softnet Statistics
link: ""
categories:
- data-collection.linux-systems.network-metrics
icon_filename: "linuxserver.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- softnet
most_popular: false
overview:
data_collection:
metrics_description: |
`/proc/net/softnet_stat` provides statistics that relate to the handling of network packets by softirq.
It provides information about:
- Total number of processed packets (`processed`).
- Times ksoftirq ran out of quota (`dropped`).
- Times net_rx_action was rescheduled.
- Number of times processed all lists before quota.
- Number of times did not process all lists due to quota.
- Number of times net_rx_action was rescheduled for GRO (Generic Receive Offload) cells.
- Number of times GRO cells were processed.
Monitoring the /proc/net/softnet_stat file can be useful for:
- **Network performance monitoring**: By tracking the total number of processed packets and how many packets
were dropped, you can gain insights into your system's network performance.
- **Troubleshooting**: If you're experiencing network-related issues, this collector can provide valuable clues.
For instance, a high number of dropped packets may indicate a network problem.
- **Capacity planning**: If your system is consistently processing near its maximum capacity of network
packets, it might be time to consider upgrading your network infrastructure.
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: 1min_netdev_backlog_exceeded
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/softnet.conf
metric: system.softnet_stat
info: average number of dropped packets in the last minute due to exceeded net.core.netdev_max_backlog
os: "linux"
- name: 1min_netdev_budget_ran_outs
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/softnet.conf
metric: system.softnet_stat
info:
average number of times ksoftirq ran out of sysctl net.core.netdev_budget or net.core.netdev_budget_usecs with work remaining over the last
minute (this can be a cause for dropped packets)
os: "linux"
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: system.softnet_stat
description: System softnet_stat
unit: "events/s"
chart_type: line
dimensions:
- name: processed
- name: dropped
- name: squeezed
- name: received_rps
- name: flow_limit_count
- name: cpu core
description: ""
labels: []
metrics:
- name: cpu.softnet_stat
description: CPU softnet_stat
unit: "events/s"
chart_type: line
dimensions:
- name: processed
- name: dropped
- name: squeezed
- name: received_rps
- name: flow_limit_count
- meta:
plugin_name: proc.plugin
module_name: /proc/meminfo
monitored_instance:
name: Memory Usage
link: ""
categories:
- data-collection.linux-systems.memory-metrics
icon_filename: "linuxserver.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- memory
- ram
- available
- committed
most_popular: false
overview:
data_collection:
metrics_description: |
`/proc/meminfo` provides detailed information about the system's current memory usage. It includes information
about different types of memory, RAM, Swap, ZSwap, HugePages, Transparent HugePages (THP), Kernel memory,
SLAB memory, memory mappings, and more.
Monitoring /proc/meminfo can be useful for:
- **Performance Tuning**: Understanding your system's memory usage can help you make decisions about system
tuning and optimization. For example, if your system is frequently low on free memory, it might benefit
from more RAM.
- **Troubleshooting**: If your system is experiencing problems, `/proc/meminfo` can provide clues about
whether memory usage is a factor. For example, if your system is slow and cached swap is high, it could
mean that your system is swapping out a lot of memory to disk, which can degrade performance.
- **Capacity Planning**: By monitoring memory usage over time, you can understand trends and make informed
decisions about future capacity needs.
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: false
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: ram_in_use
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/ram.conf
metric: system.ram
info: system memory utilization
os: "linux"
- name: ram_available
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/ram.conf
metric: mem.available
info: percentage of estimated amount of RAM available for userspace processes, without causing swapping
os: "linux"
- name: used_swap
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/swap.conf
metric: mem.swap
info: swap memory utilization
os: "linux freebsd"
- name: 1hour_memory_hw_corrupted
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/memory.conf
metric: mem.hwcorrupt
info: amount of memory corrupted due to a hardware failure
os: "linux"
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: system.ram
description: System RAM
unit: "MiB"
chart_type: stacked
dimensions:
- name: free
- name: used
- name: cached
- name: buffers
- name: mem.available
description: Available RAM for applications
unit: "MiB"
chart_type: area
dimensions:
- name: avail
- name: mem.swap
description: System Swap
unit: "MiB"
chart_type: stacked
dimensions:
- name: free
- name: used
- name: mem.swap_cached
description: Swap Memory Cached in RAM
unit: "MiB"
chart_type: stacked
dimensions:
- name: cached
- name: mem.zswap
description: Zswap Usage
unit: "MiB"
chart_type: stacked
dimensions:
- name: in-ram
- name: on-disk
- name: mem.hwcorrupt
description: Corrupted Memory detected by ECC
unit: "MiB"
chart_type: line
dimensions:
- name: HardwareCorrupted
- name: mem.commited
description: Committed (Allocated) Memory
unit: "MiB"
chart_type: area
dimensions:
- name: Commited_AS
- name: mem.writeback
description: Writeback Memory
unit: "MiB"
chart_type: line
dimensions:
- name: Dirty
- name: Writeback
- name: FuseWriteback
- name: NfsWriteback
- name: Bounce
- name: mem.kernel
description: Memory Used by Kernel
unit: "MiB"
chart_type: stacked
dimensions:
- name: Slab
- name: KernelStack
- name: PageTables
- name: VmallocUsed
- name: Percpu
- name: mem.slab
description: Reclaimable Kernel Memory
unit: "MiB"
chart_type: stacked
dimensions:
- name: reclaimable
- name: unreclaimable
- name: mem.hugepages
description: Dedicated HugePages Memory
unit: "MiB"
chart_type: stacked
dimensions:
- name: free
- name: used
- name: surplus
- name: reserved
- name: mem.thp
description: Transparent HugePages Memory
unit: "MiB"
chart_type: stacked
dimensions:
- name: anonymous
- name: shmem
- name: mem.thp_details
description: Details of Transparent HugePages Usage
unit: "MiB"
chart_type: line
dimensions:
- name: ShmemPmdMapped
- name: FileHugePages
- name: FilePmdMapped
- name: mem.reclaiming
description: Memory Reclaiming
unit: "MiB"
chart_type: line
dimensions:
- name: Active
- name: Inactive
- name: Active(anon)
- name: Inactive(anon)
- name: Active(file)
- name: Inactive(file)
- name: Unevictable
- name: Mlocked
- name: mem.high_low
description: High and Low Used and Free Memory Areas
unit: "MiB"
chart_type: stacked
dimensions:
- name: high_used
- name: low_used
- name: high_free
- name: low_free
- name: mem.cma
description: Contiguous Memory Allocator (CMA) Memory
unit: "MiB"
chart_type: stacked
dimensions:
- name: used
- name: free
- name: mem.directmaps
description: Direct Memory Mappings
unit: "MiB"
chart_type: stacked
dimensions:
- name: 4k
- name: 2m
- name: 4m
- name: 1g
- meta:
plugin_name: proc.plugin
module_name: /proc/pagetypeinfo
monitored_instance:
name: Page types
link: ""
categories:
- data-collection.linux-systems.memory-metrics
icon_filename: "microchip.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- memory page types
most_popular: false
overview:
data_collection:
metrics_description: "This integration provides metrics about the system's memory page types"
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: false
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts: []
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: mem.pagetype_global
description: System orders available
unit: "B"
chart_type: stacked
dimensions:
- name: a dimension per pagesize
- name: node, zone, type
description: ""
labels:
- name: node_id
description: TBD
- name: node_zone
description: TBD
- name: node_type
description: TBD
metrics:
- name: mem.pagetype
description: pagetype_Node{node}_{zone}_{type}
unit: "B"
chart_type: stacked
dimensions:
- name: a dimension per pagesize
- meta:
plugin_name: proc.plugin
module_name: /sys/devices/system/edac/mc
monitored_instance:
name: Memory modules (DIMMs)
link: ""
categories:
- data-collection.linux-systems.memory-metrics
icon_filename: "microchip.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- edac
- ecc
- dimm
- ram
- hardware
most_popular: false
overview:
data_collection:
metrics_description: |
The Error Detection and Correction (EDAC) subsystem is detecting and reporting errors in the system's memory,
primarily ECC (Error-Correcting Code) memory errors.
The collector provides data for:
- Per memory controller (MC): correctable and uncorrectable errors. These can be of 2 kinds:
- errors related to a DIMM
- errors that cannot be associated with a DIMM
- Per memory DIMM: correctable and uncorrectable errors. There are 2 kinds:
- memory controllers that can identify the physical DIMMS and report errors directly for them,
- memory controllers that report errors for memory address ranges that can be linked to dimms.
In this case the DIMMS reported may be more than the physical DIMMS installed.
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: ecc_memory_mc_noinfo_correctable
metric: mem.edac_mc_errors
info: memory controller ${label:controller} ECC correctable errors (unknown DIMM slot)
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/memory.conf
- name: ecc_memory_mc_noinfo_uncorrectable
metric: mem.edac_mc_errors
info: memory controller ${label:controller} ECC uncorrectable errors (unknown DIMM slot)
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/memory.conf
- name: ecc_memory_dimm_correctable
metric: mem.edac_mc_dimm_errors
info: DIMM ${label:dimm} controller ${label:controller} (location ${label:dimm_location}) ECC correctable errors
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/memory.conf
- name: ecc_memory_dimm_uncorrectable
metric: mem.edac_mc_dimm_errors
info: DIMM ${label:dimm} controller ${label:controller} (location ${label:dimm_location}) ECC uncorrectable errors
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/memory.conf
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: memory controller
description: These metrics refer to the memory controller.
labels:
- name: controller
description: "[mcX](https://www.kernel.org/doc/html/v5.0/admin-guide/ras.html#mcx-directories) directory name of this memory controller."
- name: mc_name
description: Memory controller type.
- name: size_mb
description: The amount of memory in megabytes that this memory controller manages.
- name: max_location
description: Last available memory slot in this memory controller.
metrics:
- name: mem.edac_mc_errors
description: Memory Controller (MC) Error Detection And Correction (EDAC) Errors
unit: errors
chart_type: line
dimensions:
- name: correctable
- name: uncorrectable
- name: correctable_noinfo
- name: uncorrectable_noinfo
- name: memory module
description: These metrics refer to the memory module (or rank, [depends on the memory controller](https://www.kernel.org/doc/html/v5.0/admin-guide/ras.html#f5)).
labels:
- name: controller
description: "[mcX](https://www.kernel.org/doc/html/v5.0/admin-guide/ras.html#mcx-directories) directory name of this memory controller."
- name: dimm
description: "[dimmX or rankX](https://www.kernel.org/doc/html/v5.0/admin-guide/ras.html#dimmx-or-rankx-directories) directory name of this memory module."
- name: dimm_dev_type
description: Type of DRAM device used in this memory module. For example, x1, x2, x4, x8.
- name: dimm_edac_mode
description: Used type of error detection and correction. For example, S4ECD4ED would mean a Chipkill with x4 DRAM.
- name: dimm_label
description: Label assigned to this memory module.
- name: dimm_location
description: Location of the memory module.
- name: dimm_mem_type
description: Type of the memory module.
- name: size
description: The amount of memory in megabytes that this memory module manages.
metrics:
- name: mem.edac_mc_errors
description: DIMM Error Detection And Correction (EDAC) Errors
unit: errors
chart_type: line
dimensions:
- name: correctable
- name: uncorrectable
- meta:
plugin_name: proc.plugin
module_name: /sys/devices/system/node
monitored_instance:
name: Non-Uniform Memory Access
link: ""
categories:
- data-collection.linux-systems.memory-metrics
icon_filename: "linuxserver.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- numa
most_popular: false
overview:
data_collection:
metrics_description: |
Information about NUMA (Non-Uniform Memory Access) nodes on the system.
NUMA is a method of configuring a cluster of microprocessor in a multiprocessing system so that they can
share memory locally, improving performance and the ability of the system to be expanded. NUMA is used in a
symmetric multiprocessing (SMP) system.
In a NUMA system, processors, memory, and I/O devices are grouped together into cells, also known as nodes.
Each node has its own memory and set of I/O devices, and one or more processors. While a processor can access
memory in any of the nodes, it does so faster when accessing memory within its own node.
The collector provides statistics on memory allocations for processes running on the NUMA nodes, revealing the
efficiency of memory allocations in multi-node systems.
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts: []
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: numa node
description: ""
labels:
- name: numa_node
description: TBD
metrics:
- name: mem.numa_nodes
description: NUMA events
unit: "events/s"
chart_type: line
dimensions:
- name: hit
- name: miss
- name: local
- name: foreign
- name: interleave
- name: other
- meta:
plugin_name: proc.plugin
module_name: /sys/kernel/mm/ksm
monitored_instance:
name: Kernel Same-Page Merging
link: ""
categories:
- data-collection.linux-systems.memory-metrics
icon_filename: "microchip.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- ksm
- samepage
- merging
most_popular: false
overview:
data_collection:
metrics_description: |
Kernel Samepage Merging (KSM) is a memory-saving feature in Linux that enables the kernel to examine the
memory of different processes and identify identical pages. It then merges these identical pages into a
single page that the processes share. This is particularly useful for virtualization, where multiple virtual
machines might be running the same operating system or applications and have many identical pages.
The collector provides information about the operation and effectiveness of KSM on your system.
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: false
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts: []
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: mem.ksm
description: Kernel Same Page Merging
unit: "MiB"
chart_type: stacked
dimensions:
- name: shared
- name: unshared
- name: sharing
- name: volatile
- name: mem.ksm_savings
description: Kernel Same Page Merging Savings
unit: "MiB"
chart_type: area
dimensions:
- name: savings
- name: offered
- name: mem.ksm_ratios
description: Kernel Same Page Merging Effectiveness
unit: "percentage"
chart_type: line
dimensions:
- name: savings
- meta:
plugin_name: proc.plugin
module_name: /sys/block/zram
monitored_instance:
name: ZRAM
link: ""
categories:
- data-collection.linux-systems.memory-metrics
icon_filename: "microchip.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- zram
most_popular: false
overview:
data_collection:
metrics_description: |
zRAM, or compressed RAM, is a block device that uses a portion of your system's RAM as a block device.
The data written to this block device is compressed and stored in memory.
The collectors provides information about the operation and the effectiveness of zRAM on your system.
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts: []
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: zram device
description: ""
labels:
- name: device
description: TBD
metrics:
- name: mem.zram_usage
description: ZRAM Memory Usage
unit: "MiB"
chart_type: area
dimensions:
- name: compressed
- name: metadata
- name: mem.zram_savings
description: ZRAM Memory Savings
unit: "MiB"
chart_type: area
dimensions:
- name: savings
- name: original
- name: mem.zram_ratio
description: ZRAM Compression Ratio (original to compressed)
unit: "ratio"
chart_type: line
dimensions:
- name: ratio
- name: mem.zram_efficiency
description: ZRAM Efficiency
unit: "percentage"
chart_type: line
dimensions:
- name: percent
- meta:
plugin_name: proc.plugin
module_name: ipc
monitored_instance:
name: Inter Process Communication
link: ""
categories:
- data-collection.linux-systems.ipc-metrics
icon_filename: "network-wired.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- ipc
- semaphores
- shared memory
most_popular: false
overview:
data_collection:
metrics_description: |
IPC stands for Inter-Process Communication. It is a mechanism which allows processes to communicate with each
other and synchronize their actions.
This collector exposes information about:
- Message Queues: This allows messages to be exchanged between processes. It's a more flexible method that
allows messages to be placed onto a queue and read at a later time.
- Shared Memory: This method allows for the fastest form of IPC because processes can exchange data by
reading/writing into shared memory segments.
- Semaphores: They are used to synchronize the operations performed by independent processes. So, if multiple
processes are trying to access a single shared resource, semaphores can ensure that only one process
accesses the resource at a given time.
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: false
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: semaphores_used
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/ipc.conf
metric: system.ipc_semaphores
info: IPC semaphore utilization
os: "linux"
- name: semaphore_arrays_used
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/ipc.conf
metric: system.ipc_semaphore_arrays
info: IPC semaphore arrays utilization
os: "linux"
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: system.ipc_semaphores
description: IPC Semaphores
unit: "semaphores"
chart_type: area
dimensions:
- name: semaphores
- name: system.ipc_semaphore_arrays
description: IPC Semaphore Arrays
unit: "arrays"
chart_type: area
dimensions:
- name: arrays
- name: system.message_queue_message
description: IPC Message Queue Number of Messages
unit: "messages"
chart_type: stacked
dimensions:
- name: a dimension per queue
- name: system.message_queue_bytes
description: IPC Message Queue Used Bytes
unit: "bytes"
chart_type: stacked
dimensions:
- name: a dimension per queue
- name: system.shared_memory_segments
description: IPC Shared Memory Number of Segments
unit: "segments"
chart_type: stacked
dimensions:
- name: segments
- name: system.shared_memory_bytes
description: IPC Shared Memory Used Bytes
unit: "bytes"
chart_type: stacked
dimensions:
- name: bytes
- meta:
plugin_name: proc.plugin
module_name: /proc/diskstats
monitored_instance:
name: Disk Statistics
link: ""
categories:
- data-collection.linux-systems.disk-metrics
icon_filename: "hard-drive.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- disk
- disks
- io
- bcache
- block devices
most_popular: false
overview:
data_collection:
metrics_description: |
Detailed statistics for each of your system's disk devices and partitions.
The data is reported by the kernel and can be used to monitor disk activity on a Linux system.
Get valuable insight into how your disks are performing and where potential bottlenecks might be.
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: 10min_disk_backlog
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/disks.conf
metric: disk.backlog
info: average backlog size of the ${label:device} disk over the last 10 minutes
os: "linux"
- name: 10min_disk_utilization
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/disks.conf
metric: disk.util
info: average percentage of time ${label:device} disk was busy over the last 10 minutes
os: "linux freebsd"
- name: bcache_cache_dirty
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/bcache.conf
metric: disk.bcache_cache_alloc
info: percentage of cache space used for dirty data and metadata (this usually means your SSD cache is too small)
- name: bcache_cache_errors
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/bcache.conf
metric: disk.bcache_cache_read_races
info:
number of times data was read from the cache, the bucket was reused and invalidated in the last 10 minutes (when this occurs the data is
reread from the backing device)
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: system.io
description: Disk I/O
unit: "KiB/s"
chart_type: area
dimensions:
- name: in
- name: out
- name: disk
description: ""
labels:
- name: device
description: TBD
- name: mount_point
description: TBD
- name: device_type
description: TBD
metrics:
- name: disk.io
description: Disk I/O Bandwidth
unit: "KiB/s"
chart_type: area
dimensions:
- name: reads
- name: writes
- name: disk_ext.io
description: Amount of Discarded Data
unit: "KiB/s"
chart_type: area
dimensions:
- name: discards
- name: disk.ops
description: Disk Completed I/O Operations
unit: "operations/s"
chart_type: line
dimensions:
- name: reads
- name: writes
- name: disk_ext.ops
description: Disk Completed Extended I/O Operations
unit: "operations/s"
chart_type: line
dimensions:
- name: discards
- name: flushes
- name: disk.qops
description: Disk Current I/O Operations
unit: "operations"
chart_type: line
dimensions:
- name: operations
- name: disk.backlog
description: Disk Backlog
unit: "milliseconds"
chart_type: area
dimensions:
- name: backlog
- name: disk.busy
description: Disk Busy Time
unit: "milliseconds"
chart_type: area
dimensions:
- name: busy
- name: disk.util
description: Disk Utilization Time
unit: "% of time working"
chart_type: area
dimensions:
- name: utilization
- name: disk.mops
description: Disk Merged Operations
unit: "merged operations/s"
chart_type: line
dimensions:
- name: reads
- name: writes
- name: disk_ext.mops
description: Disk Merged Discard Operations
unit: "merged operations/s"
chart_type: line
dimensions:
- name: discards
- name: disk.iotime
description: Disk Total I/O Time
unit: "milliseconds/s"
chart_type: line
dimensions:
- name: reads
- name: writes
- name: disk_ext.iotime
description: Disk Total I/O Time for Extended Operations
unit: "milliseconds/s"
chart_type: line
dimensions:
- name: discards
- name: flushes
- name: disk.await
description: Average Completed I/O Operation Time
unit: "milliseconds/operation"
chart_type: line
dimensions:
- name: reads
- name: writes
- name: disk_ext.await
description: Average Completed Extended I/O Operation Time
unit: "milliseconds/operation"
chart_type: line
dimensions:
- name: discards
- name: flushes
- name: disk.avgsz
description: Average Completed I/O Operation Bandwidth
unit: "KiB/operation"
chart_type: area
dimensions:
- name: reads
- name: writes
- name: disk_ext.avgsz
description: Average Amount of Discarded Data
unit: "KiB/operation"
chart_type: area
dimensions:
- name: discards
- name: disk.svctm
description: Average Service Time
unit: "milliseconds/operation"
chart_type: line
dimensions:
- name: svctm
- name: disk.bcache_cache_alloc
description: BCache Cache Allocations
unit: "percentage"
chart_type: stacked
dimensions:
- name: ununsed
- name: dirty
- name: clean
- name: metadata
- name: undefined
- name: disk.bcache_hit_ratio
description: BCache Cache Hit Ratio
unit: "percentage"
chart_type: line
dimensions:
- name: 5min
- name: 1hour
- name: 1day
- name: ever
- name: disk.bcache_rates
description: BCache Rates
unit: "KiB/s"
chart_type: area
dimensions:
- name: congested
- name: writeback
- name: disk.bcache_size
description: BCache Cache Sizes
unit: "MiB"
chart_type: area
dimensions:
- name: dirty
- name: disk.bcache_usage
description: BCache Cache Usage
unit: "percentage"
chart_type: area
dimensions:
- name: avail
- name: disk.bcache_cache_read_races
description: BCache Cache Read Races
unit: "operations/s"
chart_type: line
dimensions:
- name: races
- name: errors
- name: disk.bcache
description: BCache Cache I/O Operations
unit: "operations/s"
chart_type: line
dimensions:
- name: hits
- name: misses
- name: collisions
- name: readaheads
- name: disk.bcache_bypass
description: BCache Cache Bypass I/O Operations
unit: "operations/s"
chart_type: line
dimensions:
- name: hits
- name: misses
- meta:
plugin_name: proc.plugin
module_name: /proc/mdstat
monitored_instance:
name: MD RAID
link: ""
categories:
- data-collection.linux-systems.disk-metrics
icon_filename: "hard-drive.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- raid
- mdadm
- mdstat
- raid
most_popular: false
overview:
data_collection:
metrics_description: "This integration monitors the status of MD RAID devices."
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: mdstat_last_collected
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/mdstat.conf
metric: md.disks
info: number of seconds since the last successful data collection
- name: mdstat_disks
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/mdstat.conf
metric: md.disks
info:
number of devices in the down state for the ${label:device} ${label:raid_level} array. Any number > 0 indicates that the array is degraded.
- name: mdstat_mismatch_cnt
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/mdstat.conf
metric: md.mismatch_cnt
info: number of unsynchronized blocks for the ${label:device} ${label:raid_level} array
- name: mdstat_nonredundant_last_collected
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/mdstat.conf
metric: md.nonredundant
info: number of seconds since the last successful data collection
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: md.health
description: Faulty Devices In MD
unit: "failed disks"
chart_type: line
dimensions:
- name: a dimension per md array
- name: md array
description: ""
labels:
- name: device
description: TBD
- name: raid_level
description: TBD
metrics:
- name: md.disks
description: Disks Stats
unit: "disks"
chart_type: stacked
dimensions:
- name: inuse
- name: down
- name: md.mismatch_cnt
description: Mismatch Count
unit: "unsynchronized blocks"
chart_type: line
dimensions:
- name: count
- name: md.status
description: Current Status
unit: "percent"
chart_type: line
dimensions:
- name: check
- name: resync
- name: recovery
- name: reshape
- name: md.expected_time_until_operation_finish
description: Approximate Time Until Finish
unit: "seconds"
chart_type: line
dimensions:
- name: finish_in
- name: md.operation_speed
description: Operation Speed
unit: "KiB/s"
chart_type: line
dimensions:
- name: speed
- name: md.nonredundant
description: Nonredundant Array Availability
unit: "boolean"
chart_type: line
dimensions:
- name: available
- meta:
plugin_name: proc.plugin
module_name: /proc/net/dev
monitored_instance:
name: Network interfaces
link: ""
categories:
- data-collection.linux-systems.network-metrics
icon_filename: "network-wired.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- network interfaces
most_popular: false
overview:
data_collection:
metrics_description: "Monitor network interface metrics about bandwidth, state, errors and more."
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: interface_speed
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/net.conf
metric: net.net
info: network interface ${label:device} current speed
os: "*"
- name: 1m_received_traffic_overflow
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/net.conf
metric: net.net
info: average inbound utilization for the network interface ${label:device} over the last minute
os: "linux"
- name: 1m_sent_traffic_overflow
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/net.conf
metric: net.net
info: average outbound utilization for the network interface ${label:device} over the last minute
os: "linux"
- name: inbound_packets_dropped_ratio
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/net.conf
metric: net.drops
info: ratio of inbound dropped packets for the network interface ${label:device} over the last 10 minutes
os: "linux"
- name: outbound_packets_dropped_ratio
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/net.conf
metric: net.drops
info: ratio of outbound dropped packets for the network interface ${label:device} over the last 10 minutes
os: "linux"
- name: wifi_inbound_packets_dropped_ratio
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/net.conf
metric: net.drops
info: ratio of inbound dropped packets for the network interface ${label:device} over the last 10 minutes
os: "linux"
- name: wifi_outbound_packets_dropped_ratio
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/net.conf
metric: net.drops
info: ratio of outbound dropped packets for the network interface ${label:device} over the last 10 minutes
os: "linux"
- name: 1m_received_packets_rate
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/net.conf
metric: net.packets
info: average number of packets received by the network interface ${label:device} over the last minute
os: "linux freebsd"
- name: 10s_received_packets_storm
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/net.conf
metric: net.packets
info: ratio of average number of received packets for the network interface ${label:device} over the last 10 seconds, compared to the rate over the last minute
os: "linux freebsd"
- name: 10min_fifo_errors
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/net.conf
metric: net.fifo
info: number of FIFO errors for the network interface ${label:device} in the last 10 minutes
os: "linux"
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: system.net
description: Physical Network Interfaces Aggregated Bandwidth
unit: "kilobits/s"
chart_type: area
dimensions:
- name: received
- name: sent
- name: network device
description: ""
labels:
- name: interface_type
description: TBD
- name: device
description: TBD
metrics:
- name: net.net
description: Bandwidth
unit: "kilobits/s"
chart_type: area
dimensions:
- name: received
- name: sent
- name: net.speed
description: Interface Speed
unit: "kilobits/s"
chart_type: line
dimensions:
- name: speed
- name: net.duplex
description: Interface Duplex State
unit: "state"
chart_type: line
dimensions:
- name: full
- name: half
- name: unknown
- name: net.operstate
description: Interface Operational State
unit: "state"
chart_type: line
dimensions:
- name: up
- name: down
- name: notpresent
- name: lowerlayerdown
- name: testing
- name: dormant
- name: unknown
- name: net.carrier
description: Interface Physical Link State
unit: "state"
chart_type: line
dimensions:
- name: up
- name: down
- name: net.mtu
description: Interface MTU
unit: "octets"
chart_type: line
dimensions:
- name: mtu
- name: net.packets
description: Packets
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: multicast
- name: net.errors
description: Interface Errors
unit: "errors/s"
chart_type: line
dimensions:
- name: inbound
- name: outbound
- name: net.drops
description: Interface Drops
unit: "drops/s"
chart_type: line
dimensions:
- name: inbound
- name: outbound
- name: net.fifo
description: Interface FIFO Buffer Errors
unit: "errors"
chart_type: line
dimensions:
- name: receive
- name: transmit
- name: net.compressed
description: Compressed Packets
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: net.events
description: Network Interface Events
unit: "events/s"
chart_type: line
dimensions:
- name: frames
- name: collisions
- name: carrier
- meta:
plugin_name: proc.plugin
module_name: /proc/net/wireless
monitored_instance:
name: Wireless network interfaces
link: ""
categories:
- data-collection.linux-systems.network-metrics
icon_filename: "network-wired.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- wireless devices
most_popular: false
overview:
data_collection:
metrics_description: "Monitor wireless devices with metrics about status, link quality, signal level, noise level and more."
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts: []
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: wireless device
description: ""
labels: []
metrics:
- name: wireless.status
description: Internal status reported by interface.
unit: "status"
chart_type: line
dimensions:
- name: status
- name: wireless.link_quality
description: Overall quality of the link. This is an aggregate value, and depends on the driver and hardware.
unit: "value"
chart_type: line
dimensions:
- name: link_quality
- name: wireless.signal_level
description:
The signal level is the wireless signal power level received by the wireless client. The closer the value is to 0, the stronger the
signal.
unit: "dBm"
chart_type: line
dimensions:
- name: signal_level
- name: wireless.noise_level
description:
The noise level indicates the amount of background noise in your environment. The closer the value to 0, the greater the noise level.
unit: "dBm"
chart_type: line
dimensions:
- name: noise_level
- name: wireless.discarded_packets
description: Packet discarded in the wireless adapter due to wireless specific problems.
unit: "packets/s"
chart_type: line
dimensions:
- name: nwid
- name: crypt
- name: frag
- name: retry
- name: misc
- name: wireless.missed_beacons
description: Number of missed beacons.
unit: "frames/s"
chart_type: line
dimensions:
- name: missed_beacons
- meta:
plugin_name: proc.plugin
module_name: /sys/class/infiniband
monitored_instance:
name: InfiniBand
link: ""
categories:
- data-collection.linux-systems.network-metrics
icon_filename: "network-wired.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- infiniband
- rdma
most_popular: false
overview:
data_collection:
metrics_description: "This integration monitors InfiniBand network inteface statistics."
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts: []
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: infiniband port
description: ""
labels: []
metrics:
- name: ib.bytes
description: Bandwidth usage
unit: "kilobits/s"
chart_type: area
dimensions:
- name: Received
- name: Sent
- name: ib.packets
description: Packets Statistics
unit: "packets/s"
chart_type: area
dimensions:
- name: Received
- name: Sent
- name: Mcast_rcvd
- name: Mcast_sent
- name: Ucast_rcvd
- name: Ucast_sent
- name: ib.errors
description: Error Counters
unit: "errors/s"
chart_type: line
dimensions:
- name: Pkts_malformated
- name: Pkts_rcvd_discarded
- name: Pkts_sent_discarded
- name: Tick_Wait_to_send
- name: Pkts_missed_resource
- name: Buffer_overrun
- name: Link_Downed
- name: Link_recovered
- name: Link_integrity_err
- name: Link_minor_errors
- name: Pkts_rcvd_with_EBP
- name: Pkts_rcvd_discarded_by_switch
- name: Pkts_sent_discarded_by_switch
- name: ib.hwerrors
description: Hardware Errors
unit: "errors/s"
chart_type: line
dimensions:
- name: Duplicated_packets
- name: Pkt_Seq_Num_gap
- name: Ack_timer_expired
- name: Drop_missing_buffer
- name: Drop_out_of_sequence
- name: NAK_sequence_rcvd
- name: CQE_err_Req
- name: CQE_err_Resp
- name: CQE_Flushed_err_Req
- name: CQE_Flushed_err_Resp
- name: Remote_access_err_Req
- name: Remote_access_err_Resp
- name: Remote_invalid_req
- name: Local_length_err_Resp
- name: RNR_NAK_Packets
- name: CNP_Pkts_ignored
- name: RoCE_ICRC_Errors
- name: ib.hwpackets
description: Hardware Packets Statistics
unit: "packets/s"
chart_type: line
dimensions:
- name: RoCEv2_Congestion_sent
- name: RoCEv2_Congestion_rcvd
- name: IB_Congestion_handled
- name: ATOMIC_req_rcvd
- name: Connection_req_rcvd
- name: Read_req_rcvd
- name: Write_req_rcvd
- name: RoCE_retrans_adaptive
- name: RoCE_retrans_timeout
- name: RoCE_slow_restart
- name: RoCE_slow_restart_congestion
- name: RoCE_slow_restart_count
- meta:
plugin_name: proc.plugin
module_name: /proc/net/netstat
monitored_instance:
name: Network statistics
link: ""
categories:
- data-collection.linux-systems.network-metrics
icon_filename: "network-wired.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- ip
- udp
- udplite
- icmp
- netstat
- snmp
most_popular: false
overview:
data_collection:
metrics_description: "This integration provides metrics from the `netstat`, `snmp` and `snmp6` modules."
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: 1m_tcp_syn_queue_drops
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/tcp_listen.conf
metric: ip.tcp_syn_queue
info: average number of SYN requests was dropped due to the full TCP SYN queue over the last minute (SYN cookies were not enabled)
os: "linux"
- name: 1m_tcp_syn_queue_cookies
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/tcp_listen.conf
metric: ip.tcp_syn_queue
info: average number of sent SYN cookies due to the full TCP SYN queue over the last minute
os: "linux"
- name: 1m_tcp_accept_queue_overflows
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/tcp_listen.conf
metric: ip.tcp_accept_queue
info: average number of overflows in the TCP accept queue over the last minute
os: "linux"
- name: 1m_tcp_accept_queue_drops
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/tcp_listen.conf
metric: ip.tcp_accept_queue
info: average number of dropped packets in the TCP accept queue over the last minute
os: "linux"
- name: tcp_connections
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/tcp_conn.conf
metric: ip.tcpsock
info: TCP connections utilization
os: "linux"
- name: 1m_ip_tcp_resets_sent
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/tcp_resets.conf
metric: ip.tcphandshake
info: average number of sent TCP RESETS over the last minute
os: "linux"
- name: 10s_ip_tcp_resets_sent
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/tcp_resets.conf
metric: ip.tcphandshake
info:
average number of sent TCP RESETS over the last 10 seconds. This can indicate a port scan, or that a service running on this host has
crashed. Netdata will not send a clear notification for this alarm.
os: "linux"
- name: 1m_ip_tcp_resets_received
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/tcp_resets.conf
metric: ip.tcphandshake
info: average number of received TCP RESETS over the last minute
os: "linux freebsd"
- name: 10s_ip_tcp_resets_received
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/tcp_resets.conf
metric: ip.tcphandshake
info:
average number of received TCP RESETS over the last 10 seconds. This can be an indication that a service this host needs has crashed.
Netdata will not send a clear notification for this alarm.
os: "linux freebsd"
- name: 1m_ipv4_udp_receive_buffer_errors
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/udp_errors.conf
metric: ipv4.udperrors
info: average number of UDP receive buffer errors over the last minute
os: "linux freebsd"
- name: 1m_ipv4_udp_send_buffer_errors
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/udp_errors.conf
metric: ipv4.udperrors
info: average number of UDP send buffer errors over the last minute
os: "linux"
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
- name: system.ip
description: IPv4 Bandwidth
unit: "kilobits/s"
chart_type: area
dimensions:
- name: received
- name: sent
- name: ip.tcpmemorypressures
description: TCP Memory Pressures
unit: "events/s"
chart_type: line
dimensions:
- name: pressures
- name: ip.tcpconnaborts
description: TCP Connection Aborts
unit: "connections/s"
chart_type: line
dimensions:
- name: baddata
- name: userclosed
- name: nomemory
- name: timeout
- name: linger
- name: failed
- name: ip.tcpreorders
description: TCP Reordered Packets by Detection Method
unit: "packets/s"
chart_type: line
dimensions:
- name: timestamp
- name: sack
- name: fack
- name: reno
- name: ip.tcpofo
description: TCP Out-Of-Order Queue
unit: "packets/s"
chart_type: line
dimensions:
- name: inqueue
- name: dropped
- name: merged
- name: pruned
- name: ip.tcpsyncookies
description: TCP SYN Cookies
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: failed
- name: ip.tcp_syn_queue
description: TCP SYN Queue Issues
unit: "packets/s"
chart_type: line
dimensions:
- name: drops
- name: cookies
- name: ip.tcp_accept_queue
description: TCP Accept Queue Issues
unit: "packets/s"
chart_type: line
dimensions:
- name: overflows
- name: drops
- name: ip.tcpsock
description: IPv4 TCP Connections
unit: "active connections"
chart_type: line
dimensions:
- name: connections
- name: ip.tcppackets
description: IPv4 TCP Packets
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: ip.tcperrors
description: IPv4 TCP Errors
unit: "packets/s"
chart_type: line
dimensions:
- name: InErrs
- name: InCsumErrors
- name: RetransSegs
- name: ip.tcpopens
description: IPv4 TCP Opens
unit: "connections/s"
chart_type: line
dimensions:
- name: active
- name: passive
- name: ip.tcphandshake
description: IPv4 TCP Handshake Issues
unit: "events/s"
chart_type: line
dimensions:
- name: EstabResets
- name: OutRsts
- name: AttemptFails
- name: SynRetrans
- name: ipv4.packets
description: IPv4 Packets
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: forwarded
- name: delivered
- name: ipv4.errors
description: IPv4 Errors
unit: "packets/s"
chart_type: line
dimensions:
- name: InDiscards
- name: OutDiscards
- name: InNoRoutes
- name: OutNoRoutes
- name: InHdrErrors
- name: InAddrErrors
- name: InTruncatedPkts
- name: InCsumErrors
- name: ipv4.bcast
description: IP Broadcast Bandwidth
unit: "kilobits/s"
chart_type: area
dimensions:
- name: received
- name: sent
- name: ipv4.bcastpkts
description: IP Broadcast Packets
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: ipv4.mcast
description: IPv4 Multicast Bandwidth
unit: "kilobits/s"
chart_type: area
dimensions:
- name: received
- name: sent
- name: ipv4.mcastpkts
description: IP Multicast Packets
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: ipv4.icmp
description: IPv4 ICMP Packets
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: ipv4.icmpmsg
description: IPv4 ICMP Messages
unit: "packets/s"
chart_type: line
dimensions:
- name: InEchoReps
- name: OutEchoReps
- name: InDestUnreachs
- name: OutDestUnreachs
- name: InRedirects
- name: OutRedirects
- name: InEchos
- name: OutEchos
- name: InRouterAdvert
- name: OutRouterAdvert
- name: InRouterSelect
- name: OutRouterSelect
- name: InTimeExcds
- name: OutTimeExcds
- name: InParmProbs
- name: OutParmProbs
- name: InTimestamps
- name: OutTimestamps
- name: InTimestampReps
- name: OutTimestampReps
- name: ipv4.icmp_errors
description: IPv4 ICMP Errors
unit: "packets/s"
chart_type: line
dimensions:
- name: InErrors
- name: OutErrors
- name: InCsumErrors
- name: ipv4.udppackets
description: IPv4 UDP Packets
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: ipv4.udperrors
description: IPv4 UDP Errors
unit: "events/s"
chart_type: line
dimensions:
- name: RcvbufErrors
- name: SndbufErrors
- name: InErrors
- name: NoPorts
- name: InCsumErrors
- name: IgnoredMulti
- name: ipv4.udplite
description: IPv4 UDPLite Packets
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: ipv4.udplite_errors
description: IPv4 UDPLite Errors
unit: "packets/s"
chart_type: line
dimensions:
- name: RcvbufErrors
- name: SndbufErrors
- name: InErrors
- name: NoPorts
- name: InCsumErrors
- name: IgnoredMulti
- name: ipv4.ecnpkts
description: IP ECN Statistics
unit: "packets/s"
chart_type: line
dimensions:
- name: CEP
- name: NoECTP
- name: ECTP0
- name: ECTP1
- name: ipv4.fragsin
description: IPv4 Fragments Reassembly
unit: "packets/s"
chart_type: line
dimensions:
- name: ok
- name: failed
- name: all
- name: ipv4.fragsout
description: IPv4 Fragments Sent
unit: "packets/s"
chart_type: line
dimensions:
- name: ok
- name: failed
- name: created
- name: system.ipv6
description: IPv6 Bandwidth
unit: "kilobits/s"
chart_type: area
dimensions:
- name: received
- name: sent
- name: ipv6.packets
description: IPv6 Packets
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: forwarded
- name: delivers
- name: ipv6.errors
description: IPv6 Errors
unit: "packets/s"
chart_type: line
dimensions:
- name: InDiscards
- name: OutDiscards
- name: InHdrErrors
- name: InAddrErrors
- name: InUnknownProtos
- name: InTooBigErrors
- name: InTruncatedPkts
- name: InNoRoutes
- name: OutNoRoutes
- name: ipv6.bcast
description: IPv6 Broadcast Bandwidth
unit: "kilobits/s"
chart_type: area
dimensions:
- name: received
- name: sent
- name: ipv6.mcast
description: IPv6 Multicast Bandwidth
unit: "kilobits/s"
chart_type: area
dimensions:
- name: received
- name: sent
- name: ipv6.mcastpkts
description: IPv6 Multicast Packets
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: ipv6.udppackets
description: IPv6 UDP Packets
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: ipv6.udperrors
description: IPv6 UDP Errors
unit: "events/s"
chart_type: line
dimensions:
- name: RcvbufErrors
- name: SndbufErrors
- name: InErrors
- name: NoPorts
- name: InCsumErrors
- name: IgnoredMulti
- name: ipv6.udplitepackets
description: IPv6 UDPlite Packets
unit: "packets/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: ipv6.udpliteerrors
description: IPv6 UDP Lite Errors
unit: "events/s"
chart_type: line
dimensions:
- name: RcvbufErrors
- name: SndbufErrors
- name: InErrors
- name: NoPorts
- name: InCsumErrors
- name: ipv6.icmp
description: IPv6 ICMP Messages
unit: "messages/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: ipv6.icmpredir
description: IPv6 ICMP Redirects
unit: "redirects/s"
chart_type: line
dimensions:
- name: received
- name: sent
- name: ipv6.icmperrors
description: IPv6 ICMP Errors
unit: "errors/s"
chart_type: line
dimensions:
- name: InErrors
- name: OutErrors
- name: InCsumErrors
- name: InDestUnreachs
- name: InPktTooBigs
- name: InTimeExcds
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- name: OutPktTooBigs
- name: OutTimeExcds
- name: OutParmProblems
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- name: InEchos
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- name: InEchoReplies
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- name: InQueries
- name: OutQueries
- name: InResponses
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- name: InSolicits
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- name: InAdvertisements
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- name: InSolicits
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- name: InAdvertisements
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- name: received
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- name: OutType128
- name: OutType129
- name: OutType133
- name: OutType135
- name: OutType143
- name: ipv6.ect
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- name: InNoECTPkts
- name: InECT1Pkts
- name: InECT0Pkts
- name: InCEPkts
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name: Socket statistics
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- data-collection.linux-systems.network-metrics
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integrations:
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os: "linux"
- name: tcp_memory
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/tcp_mem.conf
metric: ipv4.sockstat_tcp_mem
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title: Metrics
enabled: false
description: ""
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scopes:
- name: global
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- name: mem
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- name: inuse
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- name: inuse
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- name: inuse
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- name: mem
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module_name: /proc/net/sockstat6
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name: IPv6 Socket Statistics
link: ""
categories:
- data-collection.linux-systems.network-metrics
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integrations:
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alerts: []
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scopes:
- name: global
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- name: inuse
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- name: inuse
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chart_type: line
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- name: inuse
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module_name: /proc/net/ip_vs_stats
monitored_instance:
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link: ""
categories:
- data-collection.linux-systems.network-metrics
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related_resources:
integrations:
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info_provided_to_referring_integrations:
description: ""
keywords:
- ip virtual server
most_popular: false
overview:
data_collection:
metrics_description: "This integration monitors IP Virtual Server statistics"
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additional_permissions:
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configuration:
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title: Metrics
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description: ""
availability: []
scopes:
- name: global
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- name: connections
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chart_type: line
dimensions:
- name: received
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chart_type: area
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- name: received
- name: sent
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plugin_name: proc.plugin
module_name: /proc/net/rpc/nfs
monitored_instance:
name: NFS Client
link: ""
categories:
- data-collection.linux-systems.filesystem-metrics.nfs
icon_filename: "nfs.png"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- nfs client
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most_popular: false
overview:
data_collection:
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method_description: ""
supported_platforms:
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exclude: []
multi_instance: true
additional_permissions:
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default_behavior:
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scopes:
- name: global
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chart_type: stacked
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chart_type: line
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chart_type: stacked
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chart_type: stacked
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chart_type: stacked
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related_resources:
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overview:
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performance_impact:
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alerts: []
metrics:
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scopes:
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chart_type: line
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chart_type: line
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chart_type: line
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plugin_name: proc.plugin
module_name: /proc/net/sctp/snmp
monitored_instance:
name: SCTP Statistics
link: ""
categories:
- data-collection.linux-systems.network-metrics
icon_filename: "network-wired.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
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keywords:
- sctp
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overview:
data_collection:
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method_description: ""
supported_platforms:
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exclude: []
multi_instance: true
additional_permissions:
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default_behavior:
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limits:
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performance_impact:
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setup:
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configuration:
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options:
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folding:
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examples:
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troubleshooting:
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alerts: []
metrics:
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description: ""
availability: []
scopes:
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description: ""
labels: []
metrics:
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chart_type: line
dimensions:
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- name: sctp.transitions
description: SCTP Association Transitions
unit: "transitions/s"
chart_type: line
dimensions:
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- name: passive
- name: aborted
- name: shutdown
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chart_type: line
dimensions:
- name: received
- name: sent
- name: sctp.packet_errors
description: SCTP Packet Errors
unit: "packets/s"
chart_type: line
dimensions:
- name: invalid
- name: checksum
- name: sctp.fragmentation
description: SCTP Fragmentation
unit: "packets/s"
chart_type: line
dimensions:
- name: reassembled
- name: fragmented
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plugin_name: proc.plugin
module_name: /proc/net/stat/nf_conntrack
monitored_instance:
name: Conntrack
link: ""
categories:
- data-collection.linux-systems.firewall-metrics
icon_filename: "firewall.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- connection tracking mechanism
- netfilter
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most_popular: false
overview:
data_collection:
metrics_description: "This integration monitors the connection tracking mechanism of Netfilter in the Linux Kernel."
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
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limits:
description: ""
performance_impact:
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setup:
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configuration:
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options:
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examples:
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list: []
troubleshooting:
problems:
list: []
alerts:
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link: https://github.com/netdata/netdata/blob/master/src/health/health.d/netfilter.conf
metric: netfilter.conntrack_sockets
info: netfilter connection tracker table size utilization
os: "linux"
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
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chart_type: line
dimensions:
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- name: netfilter.conntrack_new
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unit: "connections/s"
chart_type: line
dimensions:
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- name: ignore
- name: invalid
- name: netfilter.conntrack_changes
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unit: "changes/s"
chart_type: line
dimensions:
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- name: deleted
- name: delete_list
- name: netfilter.conntrack_expect
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unit: "expectations/s"
chart_type: line
dimensions:
- name: created
- name: deleted
- name: new
- name: netfilter.conntrack_search
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chart_type: line
dimensions:
- name: searched
- name: restarted
- name: found
- name: netfilter.conntrack_errors
description: Connection Tracker Errors
unit: "events/s"
chart_type: line
dimensions:
- name: icmp_error
- name: error_failed
- name: drop
- name: early_drop
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plugin_name: proc.plugin
module_name: /proc/net/stat/synproxy
monitored_instance:
name: Synproxy
link: ""
categories:
- data-collection.linux-systems.firewall-metrics
icon_filename: "firewall.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- synproxy
most_popular: false
overview:
data_collection:
metrics_description: "This integration provides statistics about the Synproxy netfilter module."
method_description: ""
supported_platforms:
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exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
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configuration:
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description: ""
options:
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examples:
folding:
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title: ""
list: []
troubleshooting:
problems:
list: []
alerts: []
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
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chart_type: line
dimensions:
- name: received
- name: netfilter.synproxy_conn_reopened
description: SYNPROXY Connections Reopened
unit: "connections/s"
chart_type: line
dimensions:
- name: reopened
- name: netfilter.synproxy_cookies
description: SYNPROXY TCP Cookies
unit: "cookies/s"
chart_type: line
dimensions:
- name: valid
- name: invalid
- name: retransmits
- meta:
plugin_name: proc.plugin
module_name: /proc/spl/kstat/zfs/arcstats
monitored_instance:
name: ZFS Adaptive Replacement Cache
link: ""
categories:
- data-collection.linux-systems.filesystem-metrics.zfs
icon_filename: "filesystem.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- zfs arc
- arc
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- filesystem
most_popular: false
overview:
data_collection:
metrics_description: "This integration monitors ZFS Adadptive Replacement Cache (ARC) statistics."
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
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limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
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list: []
examples:
folding:
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title: ""
list: []
troubleshooting:
problems:
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alerts:
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link: https://github.com/netdata/netdata/blob/master/src/health/health.d/zfs.conf
metric: zfs.memory_ops
info: number of times ZFS had to limit the ARC growth in the last 10 minutes
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: ""
labels: []
metrics:
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description: ZFS ARC Size
unit: "MiB"
chart_type: area
dimensions:
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- name: target
- name: min
- name: max
- name: zfs.l2_size
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unit: "MiB"
chart_type: area
dimensions:
- name: actual
- name: size
- name: zfs.reads
description: ZFS Reads
unit: "reads/s"
chart_type: area
dimensions:
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- name: demand
- name: prefetch
- name: metadata
- name: l2
- name: zfs.bytes
description: ZFS ARC L2 Read/Write Rate
unit: "KiB/s"
chart_type: area
dimensions:
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- name: write
- name: zfs.hits
description: ZFS ARC Hits
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chart_type: stacked
dimensions:
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unit: "events/s"
chart_type: stacked
dimensions:
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- name: zfs.dhits
description: ZFS Demand Hits
unit: "percentage"
chart_type: stacked
dimensions:
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chart_type: stacked
dimensions:
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chart_type: stacked
dimensions:
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unit: "events/s"
chart_type: stacked
dimensions:
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- name: zfs.mhits
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unit: "percentage"
chart_type: stacked
dimensions:
- name: hits
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chart_type: stacked
dimensions:
- name: hits
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- name: zfs.l2hits
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chart_type: stacked
dimensions:
- name: hits
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description: ZFS L2 Hits Rate
unit: "events/s"
chart_type: stacked
dimensions:
- name: hits
- name: misses
- name: zfs.list_hits
description: ZFS List Hits
unit: "hits/s"
chart_type: area
dimensions:
- name: mfu
- name: mfu_ghost
- name: mru
- name: mru_ghost
- name: zfs.arc_size_breakdown
description: ZFS ARC Size Breakdown
unit: "percentage"
chart_type: stacked
dimensions:
- name: recent
- name: frequent
- name: zfs.memory_ops
description: ZFS Memory Operations
unit: "operations/s"
chart_type: line
dimensions:
- name: direct
- name: throttled
- name: indirect
- name: zfs.important_ops
description: ZFS Important Operations
unit: "operations/s"
chart_type: line
dimensions:
- name: evict_skip
- name: deleted
- name: mutex_miss
- name: hash_collisions
- name: zfs.actual_hits
description: ZFS Actual Cache Hits
unit: "percentage"
chart_type: stacked
dimensions:
- name: hits
- name: misses
- name: zfs.actual_hits_rate
description: ZFS Actual Cache Hits Rate
unit: "events/s"
chart_type: stacked
dimensions:
- name: hits
- name: misses
- name: zfs.demand_data_hits
description: ZFS Data Demand Efficiency
unit: "percentage"
chart_type: stacked
dimensions:
- name: hits
- name: misses
- name: zfs.demand_data_hits_rate
description: ZFS Data Demand Efficiency Rate
unit: "events/s"
chart_type: stacked
dimensions:
- name: hits
- name: misses
- name: zfs.prefetch_data_hits
description: ZFS Data Prefetch Efficiency
unit: "percentage"
chart_type: stacked
dimensions:
- name: hits
- name: misses
- name: zfs.prefetch_data_hits_rate
description: ZFS Data Prefetch Efficiency Rate
unit: "events/s"
chart_type: stacked
dimensions:
- name: hits
- name: misses
- name: zfs.hash_elements
description: ZFS ARC Hash Elements
unit: "elements"
chart_type: line
dimensions:
- name: current
- name: max
- name: zfs.hash_chains
description: ZFS ARC Hash Chains
unit: "chains"
chart_type: line
dimensions:
- name: current
- name: max
- meta:
plugin_name: proc.plugin
module_name: /sys/fs/btrfs
monitored_instance:
name: BTRFS
link: ""
categories:
- data-collection.linux-systems.filesystem-metrics.btrfs
icon_filename: "filesystem.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- btrfs
- filesystem
most_popular: false
overview:
data_collection:
metrics_description: "This integration provides usage and error statistics from the BTRFS filesystem."
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: btrfs_allocated
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/btrfs.conf
metric: btrfs.disk
info: percentage of allocated BTRFS physical disk space
os: "*"
- name: btrfs_data
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/btrfs.conf
metric: btrfs.data
info: utilization of BTRFS data space
os: "*"
- name: btrfs_metadata
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/btrfs.conf
metric: btrfs.metadata
info: utilization of BTRFS metadata space
os: "*"
- name: btrfs_system
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/btrfs.conf
metric: btrfs.system
info: utilization of BTRFS system space
os: "*"
- name: btrfs_device_read_errors
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/btrfs.conf
metric: btrfs.device_errors
info: number of encountered BTRFS read errors
os: "*"
- name: btrfs_device_write_errors
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/btrfs.conf
metric: btrfs.device_errors
info: number of encountered BTRFS write errors
os: "*"
- name: btrfs_device_flush_errors
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/btrfs.conf
metric: btrfs.device_errors
info: number of encountered BTRFS flush errors
os: "*"
- name: btrfs_device_corruption_errors
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/btrfs.conf
metric: btrfs.device_errors
info: number of encountered BTRFS corruption errors
os: "*"
- name: btrfs_device_generation_errors
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/btrfs.conf
metric: btrfs.device_errors
info: number of encountered BTRFS generation errors
os: "*"
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: btrfs filesystem
description: ""
labels:
- name: filesystem_uuid
description: TBD
- name: filesystem_label
description: TBD
metrics:
- name: btrfs.disk
description: BTRFS Physical Disk Allocation
unit: "MiB"
chart_type: stacked
dimensions:
- name: unallocated
- name: data_free
- name: data_used
- name: meta_free
- name: meta_used
- name: sys_free
- name: sys_used
- name: btrfs.data
description: BTRFS Data Allocation
unit: "MiB"
chart_type: stacked
dimensions:
- name: free
- name: used
- name: btrfs.metadata
description: BTRFS Metadata Allocation
unit: "MiB"
chart_type: stacked
dimensions:
- name: free
- name: used
- name: reserved
- name: btrfs.system
description: BTRFS System Allocation
unit: "MiB"
chart_type: stacked
dimensions:
- name: free
- name: used
- name: btrfs.commits
description: BTRFS Commits
unit: "commits"
chart_type: line
dimensions:
- name: commits
- name: btrfs.commits_perc_time
description: BTRFS Commits Time Share
unit: "percentage"
chart_type: line
dimensions:
- name: commits
- name: btrfs.commit_timings
description: BTRFS Commit Timings
unit: "ms"
chart_type: line
dimensions:
- name: last
- name: max
- name: btrfs device
description: ""
labels:
- name: device_id
description: TBD
- name: filesystem_uuid
description: TBD
- name: filesystem_label
description: TBD
metrics:
- name: btrfs.device_errors
description: BTRFS Device Errors
unit: "errors"
chart_type: line
dimensions:
- name: write_errs
- name: read_errs
- name: flush_errs
- name: corruption_errs
- name: generation_errs
- meta:
plugin_name: proc.plugin
module_name: /sys/class/power_supply
monitored_instance:
name: Power Supply
link: ""
categories:
- data-collection.linux-systems.power-supply-metrics
icon_filename: "powersupply.svg"
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- psu
- power supply
most_popular: false
overview:
data_collection:
metrics_description: "This integration monitors Power supply metrics, such as battery status, AC power status and more."
method_description: ""
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts:
- name: linux_power_supply_capacity
link: https://github.com/netdata/netdata/blob/master/src/health/health.d/linux_power_supply.conf
metric: powersupply.capacity
info: percentage of remaining power supply capacity
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: power device
description: ""
labels:
- name: device
description: TBD
metrics:
- name: powersupply.capacity
description: Battery capacity
unit: "percentage"
chart_type: line
dimensions:
- name: capacity
- name: powersupply.power
description: Battery discharge rate
unit: "W"
chart_type: line
dimensions:
- name: power
- name: powersupply.charge
description: Battery charge
unit: "Ah"
chart_type: line
dimensions:
- name: empty_design
- name: empty
- name: now
- name: full
- name: full_design
- name: powersupply.energy
description: Battery energy
unit: "Wh"
chart_type: line
dimensions:
- name: empty_design
- name: empty
- name: now
- name: full
- name: full_design
- name: powersupply.voltage
description: Power supply voltage
unit: "V"
chart_type: line
dimensions:
- name: min_design
- name: min
- name: now
- name: max
- name: max_design
- meta:
plugin_name: proc.plugin
module_name: /sys/class/drm
monitored_instance:
name: AMD GPU
link: "https://www.amd.com"
categories:
- data-collection.hardware-devices-and-sensors
icon_filename: amd.svg
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- amd
- gpu
- hardware
most_popular: false
overview:
data_collection:
metrics_description: "This integration monitors AMD GPU metrics, such as utilization, clock frequency and memory usage."
method_description: "It reads `/sys/class/drm` to collect metrics for every AMD GPU card instance it encounters."
supported_platforms:
include:
- Linux
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: ""
description: ""
options:
description: ""
folding:
title: ""
enabled: true
list: []
examples:
folding:
enabled: true
title: ""
list: []
troubleshooting:
problems:
list: []
alerts: []
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: gpu
description: "These metrics refer to the GPU."
labels:
- name: product_name
description: GPU product name (e.g. AMD RX 6600)
metrics:
- name: amdgpu.gpu_utilization
description: GPU utilization
unit: "percentage"
chart_type: line
dimensions:
- name: utilization
- name: amdgpu.gpu_mem_utilization
description: GPU memory utilization
unit: "percentage"
chart_type: line
dimensions:
- name: utilization
- name: amdgpu.gpu_clk_frequency
description: GPU clock frequency
unit: "MHz"
chart_type: line
dimensions:
- name: frequency
- name: amdgpu.gpu_mem_clk_frequency
description: GPU memory clock frequency
unit: "MHz"
chart_type: line
dimensions:
- name: frequency
- name: amdgpu.gpu_mem_vram_usage_perc
description: VRAM memory usage percentage
unit: "percentage"
chart_type: line
dimensions:
- name: usage
- name: amdgpu.gpu_mem_vram_usage
description: VRAM memory usage
unit: "bytes"
chart_type: area
dimensions:
- name: free
- name: used
- name: amdgpu.gpu_mem_vis_vram_usage_perc
description: visible VRAM memory usage percentage
unit: "percentage"
chart_type: line
dimensions:
- name: usage
- name: amdgpu.gpu_mem_vis_vram_usage
description: visible VRAM memory usage
unit: "bytes"
chart_type: area
dimensions:
- name: free
- name: used
- name: amdgpu.gpu_mem_gtt_usage_perc
description: GTT memory usage percentage
unit: "percentage"
chart_type: line
dimensions:
- name: usage
- name: amdgpu.gpu_mem_gtt_usage
description: GTT memory usage
unit: "bytes"
chart_type: area
dimensions:
- name: free
- name: used
|