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-rw-r--r-- | docs/overview/what-is-netdata.md | 76 | ||||
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diff --git a/docs/overview/netdata-monitoring-stack.md b/docs/overview/netdata-monitoring-stack.md deleted file mode 100644 index 36f5b5f06..000000000 --- a/docs/overview/netdata-monitoring-stack.md +++ /dev/null @@ -1,62 +0,0 @@ -<!-- -title: "Use Netdata standalone or as part of your monitoring stack" -description: "Netdata can run independently or as part of a larger monitoring stack thanks to its flexibility, interoperable core, and exporting features." -custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/overview/netdata-monitoring-stack.md ---> - -# Use Netdata standalone or as part of your monitoring stack - -Netdata is an extremely powerful monitoring, visualization, and troubleshooting platform. While you can use it as an -effective standalone tool, we also designed it to be open and interoperable with other tools you might already be using. - -Netdata helps you collect everything and scales to infrastructure of any size, but it doesn't lock-in data or force you -to use specific tools or methodologies. Each feature is extensible and interoperable so they can work in parallel with -other tools. For example, you can use Netdata to collect metrics, visualize metrics with a second open-source program, -and centralize your metrics in a cloud-based time-series database solution for long-term storage or further analysis. - -You can build a new monitoring stack, including Netdata, or integrate Netdata's metrics with your existing monitoring -stack. No matter which route you take, Netdata helps you monitor infrastructure of any size. - -Here are a few ways to enrich your existing monitoring and troubleshooting stack with Netdata: - -## Collect metrics from Prometheus endpoints - -Netdata automatically detects 600 popular endpoints and collects per-second metrics from them via the [generic -Prometheus collector](https://github.com/netdata/go.d.plugin/blob/master/modules/prometheus/README.md). This even -includes support for Windows 10 via [`windows_exporter`](https://github.com/prometheus-community/windows_exporter). - -This collector is installed and enabled on all Agent installations by default, so you don't need to waste time -configuring Netdata. Netdata will detect these Prometheus metrics endpoints and collect even more granular metrics than -your existing solutions. You can now use all of Netdata's meaningfully-visualized charts to diagnose issues and -troubleshoot anomalies. - -## Export metrics to external time-series databases - -Netdata can send its per-second metrics to external time-series databases, such as InfluxDB, Prometheus, Graphite, -TimescaleDB, ElasticSearch, AWS Kinesis Data Streams, Google Cloud Pub/Sub Service, and many others. - -To [export metrics to external time-series databases](https://github.com/netdata/netdata/blob/master/docs/export/external-databases.md), you configure an [exporting -_connector_](https://github.com/netdata/netdata/blob/master/docs/export/enable-connector.md). These connectors support filtering and resampling for granular control -over which metrics you export, and at what volume. You can export resampled metrics as collected, as averages, or the -sum of interpolated values based on your needs and other monitoring tools. - -Once you have Netdata's metrics in a secondary time-series database, you can use them however you'd like, such as -additional visualization/dashboarding tools or aggregation of data from multiple sources. - -## Visualize metrics with Grafana - -One popular monitoring stack is Netdata, Graphite, and Grafana. Netdata acts as the stack's metrics collection -powerhouse, Graphite the time-series database, and Grafana the visualization platform. With Netdata at the core, you can -be confident that your monitoring stack is powered by all possible metrics, from all possible sources, from every node -in your infrastructure. - -Of course, just because you export or visualize metrics elsewhere, it doesn't mean Netdata's equivalent features -disappear. You can always build new dashboards in Netdata Cloud, drill down into per-second metrics using Netdata's -charts, or use Netdata's health watchdog to send notifications whenever an anomaly strikes. - -## What's next? - -Whether you're using Netdata standalone or as part of a larger monitoring stack, the next step is the same: [**Get -Netdata**](https://github.com/netdata/netdata/blob/master/docs/get-started.mdx). - - diff --git a/docs/overview/what-is-netdata.md b/docs/overview/what-is-netdata.md deleted file mode 100644 index f8e67159b..000000000 --- a/docs/overview/what-is-netdata.md +++ /dev/null @@ -1,76 +0,0 @@ -<!-- -title: "What is Netdata?" -description: "Netdata is distributed, real-time performance and health monitoring for systems and applications on a single node or an entire infrastructure." -custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/overview/what-is-netdata.md ---> - -# What is Netdata? - -Netdata helps sysadmins, SREs, DevOps engineers, and IT professionals collect all possible metrics from systems and -applications, visualize these metrics in real-time, and troubleshoot complex performance problems. - -Netdata's solution uses two components, the Netdata Agent and Netdata Cloud, to deliver real-time performance and health -monitoring for both single nodes and entire infrastructure. - -## Netdata Agent - -Netdata's distributed monitoring Agent collects thousands of metrics from systems, hardware, and applications with zero -configuration. It runs permanently on all your physical/virtual servers, containers, cloud deployments, and edge/IoT -devices. - -You can [install](https://github.com/netdata/netdata/blob/master/docs/get-started.mdx) Netdata on most Linux -distributions (Ubuntu, Debian, CentOS, and more), -container/microservice platforms (Kubernetes clusters, Docker), and many other operating systems (FreeBSD, macOS), with -no `sudo` required. - -![The Netdata -Agent](https://user-images.githubusercontent.com/1153921/94492596-72a86b00-019f-11eb-91ab-224e6ac9ea21.png) - -## Netdata Cloud - -Netdata Cloud is a web application that gives you real-time visibility for your entire infrastructure. With Netdata -Cloud, you can view key metrics, insightful charts, and active alarms from all your nodes in a single web interface. -When an anomaly strikes, seamlessly navigate to any node to troubleshoot and discover the root cause with the familiar -Netdata dashboard. - -**[Netdata Cloud is free](https://www.netdata.cloud/blog/why-netdata-is-free/)**! You can add an entire infrastructure -of nodes, invite all your colleagues, and visualize any number of metrics, charts, and alarms entirely for free. - -While Netdata Cloud offers a centralized method of monitoring your Agents, your metrics data is not stored or -centralized in any way. Metrics data remains with your nodes and is only streamed to your browser, through Cloud, when -you're viewing the Netdata Cloud interface. - -![Netdata Cloud](https://user-images.githubusercontent.com/1153921/94492597-73410180-019f-11eb-9a9e-032420baa489.png) - -## What you can do with Netdata - -Netdata is designed to be both simple to use and flexible for every monitoring, visualization, and troubleshooting use -case: - -- **Collect**: Netdata collects all available metrics from your system and applications with 300+ collectors, - Kubernetes service discovery, and in-depth container monitoring, all while using only 1% CPU and a few MB of RAM. It - even collects metrics from Windows machines. -- **Visualize**: The dashboard meaningfully presents charts to help you understand the relationships between your - hardware, operating system, running apps/services, and the rest of your infrastructure. Add nodes to Netdata Cloud - for a complete view of your infrastructure from a single pane of glass. -- **Monitor**: Netdata's health watchdog uses hundreds of preconfigured alarms to notify you via Slack, email, - PagerDuty and more when an anomaly strikes. Customize with dynamic thresholds, hysteresis, alarm templates, and - role-based notifications. -- **Troubleshoot**: 1s granularity helps you detect and analyze anomalies other monitoring platforms might have - missed. Interactive visualizations reduce your reliance on the console, and historical metrics help you trace issues - back to their root cause. -- **Store**: Netdata's efficient database engine efficiently stores per-second metrics for days, weeks, or even - months. Every distributed node stores metrics locally, simplifying deployment, slashing costs, and enriching - Netdata's interactive dashboards. -- **Export**: Integrate per-second metrics with other time-series databases like Graphite, Prometheus, InfluxDB, - TimescaleDB, and more with Netdata's interoperable and extensible core. -- **Stream**: Aggregate metrics from any number of distributed nodes in one place for in-depth analysis, including - ephemeral nodes in a Kubernetes cluster. - -## What's next? - -Learn more -about [why you should use Netdata](https://github.com/netdata/netdata/blob/master/docs/overview/why-netdata.md), -or [how Netdata works with your existing monitoring stack](https://github.com/netdata/netdata/blob/master/docs/overview/netdata-monitoring-stack.md). - - diff --git a/docs/overview/why-netdata.md b/docs/overview/why-netdata.md deleted file mode 100644 index 158bc50df..000000000 --- a/docs/overview/why-netdata.md +++ /dev/null @@ -1,63 +0,0 @@ -<!-- -title: "Why use Netdata?" -description: "Netdata is simple to deploy, scalable, and optimized for troubleshooting. Cut the complexity and expense out of your monitoring stack." -custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/overview/why-netdata.md ---> - -# Why use Netdata? - -Netdata takes a different approach to helping people build extraordinary infrastructure. It was built out of frustration -with existing monitoring tools that are too complex, too expensive, and don't help their users actually troubleshoot -complex performance and health issues. - -Netdata is: - -## Simple to deploy - -- **One-line deployment** for Linux distributions, plus support for Kubernetes/Docker infrastructures. -- **Zero configuration and maintenance** required to collect thousands of metrics, every second, from the underlying - OS and running applications. -- **Prebuilt charts and alarms** alert you to common anomalies and performance issues without manual configuration. -- **Distributed storage** to simplify the cost and complexity of storing metrics data from any number of nodes. - -## Powerful and scalable - -- **1% CPU utilization, a few MB of RAM, and minimal disk I/O** to run the monitoring Agent on bare metal, virtual - machines, containers, and even IoT devices. -- **Per-second granularity** for an unlimited number of metrics based on the hardware and applications you're running - on your nodes. -- **Interoperable exporters** let you connect Netdata's per-second metrics with an existing monitoring stack and other - time-series databases. - -## Optimized for troubleshooting - -- **Visual anomaly detection** with a UI/UX that emphasizes the relationships between charts. -- **Customizable dashboards** to pinpoint correlated metrics, respond to incidents, and help you streamline your - workflows. -- **Distributed metrics in a centralized interface** to assist users or teams trace complex issues between distributed - nodes. - -## Comparison with other monitoring solutions - -Netdata offers many benefits over the existing monitoring landscape, whether they're expensive SaaS products or other -open-source tools. - -| Netdata | Others (open-source and commercial) | -| :-------------------------------------------------------------- | :--------------------------------------------------------------- | -| **High resolution metrics** (1s granularity) | Low resolution metrics (10s granularity at best) | -| Collects **thousands of metrics per node** | Collects just a few metrics | -| Fast UI optimized for **anomaly detection** | UI is good for just an abstract view | -| **Long-term, autonomous storage** at one-second granularity | Centralized metrics in an expensive data lake at 10s granularity | -| **Meaningful presentation**, to help you understand the metrics | You have to know the metrics before you start | -| Install and get results **immediately** | Long sales process and complex installation process | -| Use it for **troubleshooting** performance problems | Only gathers _statistics of past performance_ | -| **Kills the console** for tracing performance issues | The console is always required for troubleshooting | -| Requires **zero dedicated resources** | Require large dedicated resources | - -## What's next? - -Whether you already have a monitoring stack you want to integrate Netdata into, or are building something from the -ground-up, you should read more on how Netdata can work either [standalone or as an interoperable part of a monitoring -stack](https://github.com/netdata/netdata/blob/master/docs/overview/netdata-monitoring-stack.md). - - |