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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-07-24 09:54:23 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-07-24 09:54:44 +0000
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parentReleasing debian version 1.44.3-2. (diff)
downloadnetdata-836b47cb7e99a977c5a23b059ca1d0b5065d310e.tar.xz
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Merging upstream version 1.46.3.
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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+<!--
+title: "Application monitoring (apps.plugin)"
+sidebar_label: "Application monitoring "
+custom_edit_url: "https://github.com/netdata/netdata/edit/master/src/collectors/apps.plugin/README.md"
+learn_status: "Published"
+learn_topic_type: "References"
+learn_rel_path: "Integrations/Monitor/System metrics"
+-->
+
+# Application monitoring (apps.plugin)
+
+`apps.plugin` breaks down system resource usage to **processes**, **users** and **user groups**.
+It is enabled by default on every Netdata installation.
+
+To achieve this task, it iterates through the whole process tree, collecting resource usage information
+for every process found running.
+
+Since Netdata needs to present this information in charts and track them through time,
+instead of presenting a `top` like list, `apps.plugin` uses a pre-defined list of **process groups**
+to which it assigns all running processes. This list is customizable via `apps_groups.conf`, and Netdata
+ships with a good default for most cases (to edit it on your system run `/etc/netdata/edit-config apps_groups.conf`).
+
+So, `apps.plugin` builds a process tree (much like `ps fax` does in Linux), and groups
+processes together (evaluating both child and parent processes) so that the result is always a list with
+a predefined set of members (of course, only process groups found running are reported).
+
+> If you find that `apps.plugin` categorizes standard applications as `other`, we would be
+> glad to accept pull requests improving the defaults shipped with Netdata in `apps_groups.conf`.
+
+Unlike traditional process monitoring tools (like `top`), `apps.plugin` is able to account the resource
+utilization of exit processes. Their utilization is accounted at their currently running parents.
+So, `apps.plugin` is perfectly able to measure the resources used by shell scripts and other processes
+that fork/spawn other short-lived processes hundreds of times per second.
+
+## Charts
+
+`apps.plugin` provides charts for 3 sections:
+
+1. Per application charts as **Applications** at Netdata dashboards
+2. Per user charts as **Users** at Netdata dashboards
+3. Per user group charts as **User Groups** at Netdata dashboards
+
+Each of these sections provides the same number of charts:
+
+- CPU utilization (`apps.cpu`)
+ - Total CPU usage
+ - User/system CPU usage (`apps.cpu_user`/`apps.cpu_system`)
+- Disk I/O
+ - Physical reads/writes (`apps.preads`/`apps.pwrites`)
+ - Logical reads/writes (`apps.lreads`/`apps.lwrites`)
+ - Open unique files (if a file is found open multiple times, it is counted just once, `apps.files`)
+- Memory
+ - Real Memory Used (non-shared, `apps.mem`)
+ - Virtual Memory Allocated (`apps.vmem`)
+ - Minor page faults (i.e. memory activity, `apps.minor_faults`)
+- Processes
+ - Threads running (`apps.threads`)
+ - Processes running (`apps.processes`)
+ - Carried over uptime (since the last Netdata Agent restart, `apps.uptime`)
+ - Minimum uptime (`apps.uptime_min`)
+ - Average uptime (`apps.uptime_average`)
+ - Maximum uptime (`apps.uptime_max`)
+ - Pipes open (`apps.pipes`)
+- Swap memory
+ - Swap memory used (`apps.swap`)
+ - Major page faults (i.e. swap activity, `apps.major_faults`)
+- Network
+ - Sockets open (`apps.sockets`)
+
+In addition, if the [eBPF collector](/src/collectors/ebpf.plugin/README.md) is running, your dashboard will also show an
+additional [list of charts](/src/collectors/ebpf.plugin/README.md#integration-with-appsplugin) using low-level Linux
+metrics.
+
+The above are reported:
+
+- For **Applications** per target configured.
+- For **Users** per username or UID (when the username is not available).
+- For **User Groups** per group name or GID (when group name is not available).
+
+## Performance
+
+`apps.plugin` is a complex piece of software and has a lot of work to do
+We are proud that `apps.plugin` is a lot faster compared to any other similar tool,
+while collecting a lot more information for the processes, however the fact is that
+this plugin requires more CPU resources than the `netdata` daemon itself.
+
+Under Linux, for each process running, `apps.plugin` reads several `/proc` files
+per process. Doing this work per-second, especially on hosts with several thousands
+of processes, may increase the CPU resources consumed by the plugin.
+
+In such cases, you many need to lower its data collection frequency.
+
+To do this, edit `/etc/netdata/netdata.conf` and find this section:
+
+```
+[plugin:apps]
+ # update every = 1
+ # command options =
+```
+
+Uncomment the line `update every` and set it to a higher number. If you just set it to `2`,
+its CPU resources will be cut in half, and data collection will be once every 2 seconds.
+
+## Configuration
+
+The configuration file is `/etc/netdata/apps_groups.conf`. To edit it on your system, run `/etc/netdata/edit-config apps_groups.conf`.
+
+The configuration file works accepts multiple lines, each having this format:
+
+```txt
+group: process1 process2 ...
+```
+
+Each group can be given multiple times, to add more processes to it.
+
+For the **Applications** section, only groups configured in this file are reported.
+All other processes will be reported as `other`.
+
+For each process given, its whole process tree will be grouped, not just the process matched.
+The plugin will include both parents and children. If including the parents into the group is
+undesirable, the line `other: *` should be appended to the `apps_groups.conf`.
+
+The process names are the ones returned by:
+
+- `ps -e` or `cat /proc/PID/stat`
+- in case of substring mode (see below): `/proc/PID/cmdline`
+
+To add process names with spaces, enclose them in quotes (single or double)
+example: `'Plex Media Serv'` or `"my other process"`.
+
+You can add an asterisk `*` at the beginning and/or the end of a process:
+
+- `*name` _suffix_ mode: will search for processes ending with `name` (at `/proc/PID/stat`)
+- `name*` _prefix_ mode: will search for processes beginning with `name` (at `/proc/PID/stat`)
+- `*name*` _substring_ mode: will search for `name` in the whole command line (at `/proc/PID/cmdline`)
+
+If you enter even just one _name_ (substring), `apps.plugin` will process
+`/proc/PID/cmdline` for all processes (of course only once per process: when they are first seen).
+
+To add processes with single quotes, enclose them in double quotes: `"process with this ' single quote"`
+
+To add processes with double quotes, enclose them in single quotes: `'process with this " double quote'`
+
+If a group or process name starts with a `-`, the dimension will be hidden from the chart (cpu chart only).
+
+If a process starts with a `+`, debugging will be enabled for it (debugging produces a lot of output - do not enable it in production systems).
+
+You can add any number of groups. Only the ones found running will affect the charts generated.
+However, producing charts with hundreds of dimensions may slow down your web browser.
+
+The order of the entries in this list is important: the first that matches a process is used, so put important
+ones at the top. Processes not matched by any row, will inherit it from their parents or children.
+
+The order also controls the order of the dimensions on the generated charts (although applications started
+after apps.plugin is started, will be appended to the existing list of dimensions the `netdata` daemon maintains).
+
+There are a few command line options you can pass to `apps.plugin`. The list of available options can be acquired with the `--help` flag. The options can be set in the `netdata.conf` file. For example, to disable user and user group charts you should set
+
+```
+[plugin:apps]
+ command options = without-users without-groups
+```
+
+### Integration with eBPF
+
+If you don't see charts under the **eBPF syscall** or **eBPF net** sections, you should edit your
+[`ebpf.d.conf`](/src/collectors/ebpf.plugin/README.md#configure-the-ebpf-collector) file to ensure the eBPF program is enabled.
+
+Also see our [guide on troubleshooting apps with eBPF
+metrics](/docs/developer-and-contributor-corner/monitor-debug-applications-ebpf.md) for ideas on how to interpret these charts in a
+few scenarios.
+
+## Permissions
+
+`apps.plugin` requires additional privileges to collect all the information it needs.
+The problem is described in issue #157.
+
+When Netdata is installed, `apps.plugin` is given the capabilities `cap_dac_read_search,cap_sys_ptrace+ep`.
+If this fails (i.e. `setcap` fails), `apps.plugin` is setuid to `root`.
+
+### linux capabilities in containers
+
+There are a few cases, like `docker` and `virtuozzo` containers, where `setcap` succeeds, but the capabilities
+are silently ignored (in `lxc` containers `setcap` fails).
+
+In this case, you will have to setuid to root `apps.plugin` by running these commands:
+
+```sh
+chown root:netdata /usr/libexec/netdata/plugins.d/apps.plugin
+chmod 4750 /usr/libexec/netdata/plugins.d/apps.plugin
+```
+
+You will have to run these, every time you update Netdata.
+
+## Security
+
+`apps.plugin` performs a hard-coded function of building the process tree in memory,
+iterating forever, collecting metrics for each running process and sending them to Netdata.
+This is a one-way communication, from `apps.plugin` to Netdata.
+
+So, since `apps.plugin` cannot be instructed by Netdata for the actions it performs,
+we think it is pretty safe to allow it to have these increased privileges.
+
+Keep in mind that `apps.plugin` will still run without escalated permissions,
+but it will not be able to collect all the information.
+
+## Application Badges
+
+You can create badges that you can embed anywhere you like, with URLs like this:
+
+```
+https://your.netdata.ip:19999/api/v1/badge.svg?chart=apps.processes&dimensions=myapp&value_color=green%3E0%7Cred
+```
+
+The color expression unescaped is this: `value_color=green>0|red`.
+
+Here is an example for the process group `sql` at `https://registry.my-netdata.io`:
+
+![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.processes&dimensions=sql&value_color=green%3E0%7Cred)
+
+Netdata is able to give you a lot more badges for your app.
+Examples below for process group `sql`:
+
+- CPU usage: ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.cpu&dimensions=sql&value_color=green=0%7Corange%3C50%7Cred)
+- Disk Physical Reads ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.preads&dimensions=sql&value_color=green%3C100%7Corange%3C1000%7Cred)
+- Disk Physical Writes ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.pwrites&dimensions=sql&value_color=green%3C100%7Corange%3C1000%7Cred)
+- Disk Logical Reads ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.lreads&dimensions=sql&value_color=green%3C100%7Corange%3C1000%7Cred)
+- Disk Logical Writes ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.lwrites&dimensions=sql&value_color=green%3C100%7Corange%3C1000%7Cred)
+- Open Files ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.fds_files&dimensions=sql&value_color=green%3E30%7Cred)
+- Real Memory ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.mem&dimensions=sql&value_color=green%3C100%7Corange%3C200%7Cred)
+- Virtual Memory ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.vmem&dimensions=sql&value_color=green%3C100%7Corange%3C1000%7Cred)
+- Swap Memory ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.swap&dimensions=sql&value_color=green=0%7Cred)
+- Minor Page Faults ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.minor_faults&dimensions=sql&value_color=green%3C100%7Corange%3C1000%7Cred)
+- Processes ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.processes&dimensions=sql&value_color=green%3E0%7Cred)
+- Threads ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.threads&dimensions=sql&value_color=green%3E=28%7Cred)
+- Major Faults (swap activity) ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.major_faults&dimensions=sql&value_color=green=0%7Cred)
+- Open Pipes ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.fds_pipes&dimensions=sql&value_color=green=0%7Cred)
+- Open Sockets ![image](https://registry.my-netdata.io/api/v1/badge.svg?chart=apps.fds_sockets&dimensions=sql&value_color=green%3E=3%7Cred)
+
+For more information about badges check [Generating Badges](/src/web/api/badges/README.md)
+
+## Comparison with console tools
+
+SSH to a server running Netdata and execute this:
+
+```sh
+while true; do ls -l /var/run >/dev/null; done
+```
+
+In most systems `/var/run` is a `tmpfs` device, so there is nothing that can stop this command
+from consuming entirely one of the CPU cores of the machine.
+
+As we will see below, **none** of the console performance monitoring tools can report that this
+command is using 100% CPU. They do report of course that the CPU is busy, but **they fail to
+identify the process that consumes so much CPU**.
+
+Here is what common Linux console monitoring tools report:
+
+### top
+
+`top` reports that `bash` is using just 14%.
+
+If you check the total system CPU utilization, it says there is no idle CPU at all, but `top`
+fails to provide a breakdown of the CPU consumption in the system. The sum of the CPU utilization
+of all processes reported by `top`, is 15.6%.
+
+```
+top - 18:46:28 up 3 days, 20:14, 2 users, load average: 0.22, 0.05, 0.02
+Tasks: 76 total, 2 running, 74 sleeping, 0 stopped, 0 zombie
+%Cpu(s): 32.8 us, 65.6 sy, 0.0 ni, 0.0 id, 0.0 wa, 1.3 hi, 0.3 si, 0.0 st
+KiB Mem : 1016576 total, 244112 free, 52012 used, 720452 buff/cache
+KiB Swap: 0 total, 0 free, 0 used. 753712 avail Mem
+
+ PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
+12789 root 20 0 14980 4180 3020 S 14.0 0.4 0:02.82 bash
+ 9 root 20 0 0 0 0 S 1.0 0.0 0:22.36 rcuos/0
+ 642 netdata 20 0 132024 20112 2660 S 0.3 2.0 14:26.29 netdata
+12522 netdata 20 0 9508 2476 1828 S 0.3 0.2 0:02.26 apps.plugin
+ 1 root 20 0 67196 10216 7500 S 0.0 1.0 0:04.83 systemd
+ 2 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kthreadd
+```
+
+### htop
+
+Exactly like `top`, `htop` is providing an incomplete breakdown of the system CPU utilization.
+
+```
+ CPU[||||||||||||||||||||||||100.0%] Tasks: 27, 11 thr; 2 running
+ Mem[||||||||||||||||||||85.4M/993M] Load average: 1.16 0.88 0.90
+ Swp[ 0K/0K] Uptime: 3 days, 21:37:03
+
+ PID USER PRI NI VIRT RES SHR S CPU% MEM% TIME+ Command
+12789 root 20 0 15104 4484 3208 S 14.0 0.4 10:57.15 -bash
+ 7024 netdata 20 0 9544 2480 1744 S 0.7 0.2 0:00.88 /usr/libexec/netd
+ 7009 netdata 20 0 138M 21016 2712 S 0.7 2.1 0:00.89 /usr/sbin/netdata
+ 7012 netdata 20 0 138M 21016 2712 S 0.0 2.1 0:00.31 /usr/sbin/netdata
+ 563 root 20 0 308M 202M 202M S 0.0 20.4 1:00.81 /usr/lib/systemd/
+ 7019 netdata 20 0 138M 21016 2712 S 0.0 2.1 0:00.14 /usr/sbin/netdata
+```
+
+### atop
+
+`atop` also fails to break down CPU usage.
+
+```
+ATOP - localhost 2016/12/10 20:11:27 ----------- 10s elapsed
+PRC | sys 1.13s | user 0.43s | #proc 75 | #zombie 0 | #exit 5383 |
+CPU | sys 67% | user 31% | irq 2% | idle 0% | wait 0% |
+CPL | avg1 1.34 | avg5 1.05 | avg15 0.96 | csw 51346 | intr 10508 |
+MEM | tot 992.8M | free 211.5M | cache 470.0M | buff 87.2M | slab 164.7M |
+SWP | tot 0.0M | free 0.0M | | vmcom 207.6M | vmlim 496.4M |
+DSK | vda | busy 0% | read 0 | write 4 | avio 1.50 ms |
+NET | transport | tcpi 16 | tcpo 15 | udpi 0 | udpo 0 |
+NET | network | ipi 16 | ipo 15 | ipfrw 0 | deliv 16 |
+NET | eth0 ---- | pcki 16 | pcko 15 | si 1 Kbps | so 4 Kbps |
+
+ PID SYSCPU USRCPU VGROW RGROW RDDSK WRDSK ST EXC S CPU CMD 1/600
+12789 0.98s 0.40s 0K 0K 0K 336K -- - S 14% bash
+ 9 0.08s 0.00s 0K 0K 0K 0K -- - S 1% rcuos/0
+ 7024 0.03s 0.00s 0K 0K 0K 0K -- - S 0% apps.plugin
+ 7009 0.01s 0.01s 0K 0K 0K 4K -- - S 0% netdata
+```
+
+### glances
+
+And the same is true for `glances`. The system runs at 100%, but `glances` reports only 17%
+per process utilization.
+
+Note also, that being a `python` program, `glances` uses 1.6% CPU while it runs.
+
+```
+localhost Uptime: 3 days, 21:42:00
+
+CPU [100.0%] CPU 100.0% MEM 23.7% SWAP 0.0% LOAD 1-core
+MEM [ 23.7%] user: 30.9% total: 993M total: 0 1 min: 1.18
+SWAP [ 0.0%] system: 67.8% used: 236M used: 0 5 min: 1.08
+ idle: 0.0% free: 757M free: 0 15 min: 1.00
+
+NETWORK Rx/s Tx/s TASKS 75 (90 thr), 1 run, 74 slp, 0 oth
+eth0 168b 2Kb
+eth1 0b 0b CPU% MEM% PID USER NI S Command
+lo 0b 0b 13.5 0.4 12789 root 0 S -bash
+ 1.6 2.2 7025 root 0 R /usr/bin/python /u
+DISK I/O R/s W/s 1.0 0.0 9 root 0 S rcuos/0
+vda1 0 4K 0.3 0.2 7024 netdata 0 S /usr/libexec/netda
+ 0.3 0.0 7 root 0 S rcu_sched
+FILE SYS Used Total 0.3 2.1 7009 netdata 0 S /usr/sbin/netdata
+/ (vda1) 1.56G 29.5G 0.0 0.0 17 root 0 S oom_reaper
+```
+
+### why does this happen?
+
+All the console tools report usage based on the processes found running *at the moment they
+examine the process tree*. So, they see just one `ls` command, which is actually very quick
+with minor CPU utilization. But the shell, is spawning hundreds of them, one after another
+(much like shell scripts do).
+
+### What does Netdata report?
+
+The total CPU utilization of the system:
+
+![image](https://cloud.githubusercontent.com/assets/2662304/21076212/9198e5a6-bf2e-11e6-9bc0-6bdea25befb2.png)
+<br/>***Figure 1**: The system overview section at Netdata, just a few seconds after the command was run*
+
+And at the applications `apps.plugin` breaks down CPU usage per application:
+
+![image](https://cloud.githubusercontent.com/assets/2662304/21076220/c9687848-bf2e-11e6-8d81-348592c5aca2.png)
+<br/>***Figure 2**: The Applications section at Netdata, just a few seconds after the command was run*
+
+So, the `ssh` session is using 95% CPU time.
+
+Why `ssh`?
+
+`apps.plugin` groups all processes based on its configuration file.
+The default configuration has nothing for `bash`, but it has for `sshd`, so Netdata accumulates
+all ssh sessions to a dimension on the charts, called `ssh`. This includes all the processes in
+the process tree of `sshd`, **including the exited children**.
+
+> Distributions based on `systemd`, provide another way to get cpu utilization per user session
+> or service running: control groups, or cgroups, commonly used as part of containers
+> `apps.plugin` does not use these mechanisms. The process grouping made by `apps.plugin` works
+> on any Linux, `systemd` based or not.
+
+#### a more technical description of how Netdata works
+
+Netdata reads `/proc/<pid>/stat` for all processes, once per second and extracts `utime` and
+`stime` (user and system cpu utilization), much like all the console tools do.
+
+But it also extracts `cutime` and `cstime` that account the user and system time of the exit children of each process.
+By keeping a map in memory of the whole process tree, it is capable of assigning the right time to every process, taking
+into account all its exited children.
+
+It is tricky, since a process may be running for 1 hour and once it exits, its parent should not
+receive the whole 1 hour of cpu time in just 1 second - you have to subtract the cpu time that has
+been reported for it prior to this iteration.
+
+It is even trickier, because walking through the entire process tree takes some time itself. So,
+if you sum the CPU utilization of all processes, you might have more CPU time than the reported
+total cpu time of the system. Netdata solves this, by adapting the per process cpu utilization to
+the total of the system. [Netdata adds charts that document this normalization](https://london.my-netdata.io/default.html#menu_netdata_submenu_apps_plugin).
+
+