TimescaleDB connection page (#7180)
* Added timescaledb page * Better title to fit tiny nav * GA link and some fixed grammar * Add reference in backends/README * Revert PostgreSQL change * Reverted on backends
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Netdata is distributed, real-time, performance and health monitoring for systems and applications. It is a highly optimized monitoring agent you install on all your systems and containers.
Netdata provides unparalleled insights, in real-time, of everything happening on the systems it runs (including web servers, databases, applications), using highly interactive web dashboards. It can run autonomously, without any third party components, or it can be integrated to existing monitoring tool chains (Prometheus, Graphite, OpenTSDB, Kafka, Grafana, etc).
*Netdata is fast and efficient, designed to permanently run on all systems (physical & virtual servers, containers, IoT devices), without disrupting their core function.*
Netdata is free, open-source software and it currently runs on Linux, FreeBSD, and MacOS.
Netdata is not hosted by the CNCF but is the 3rd most starred open-source project in the Cloud Native Computing Foundation (CNCF) landscape.
People get addicted to Netdata.
Once you use it on your systems, there is no going back! You have been warned…
The following animated image, shows the top part of a typical Netdata dashboard.
*A typical Netdata dashboard, in 1:1 timing. Charts can be panned by dragging them, zoomed in/out with
mouse wheel, an area can be selected for zoom-in with
mouse selection. Netdata is highly interactive and real-time, optimized to get the work done!*
We have a few online demos to experience it live: https://www.netdata.cloud
Netdata is used by hundreds of thousands of users all over the world. Check our GitHub watchers list. You will find people working for Amazon, Atos, Baidu, Cisco Systems, Citrix, Deutsche Telekom, DigitalOcean, Elastic, EPAM Systems, Ericsson, Google, Groupon, Hortonworks, HP, Huawei, IBM, Microsoft, NewRelic, Nvidia, Red Hat, SAP, Selectel, TicketMaster, Vimeo, and many more!
We provide docker images for the most common architectures. These are statistics reported by docker hub:
When you install multiple Netdata, they are integrated into one distributed application, via a Netdata registry. This is a web browser feature and it allows us to count the number of unique users and unique Netdata servers installed. The following information comes from the global public Netdata registry we run:
To install Netdata from source on any Linux system (physical, virtual, container, IoT, edge) and keep it up to date with our nightly releases automatically, run the following:
# make sure you run `bash` for your shell bash # install Netdata directly from GitHub source bash <(curl -Ss https://my-netdata.io/kickstart.sh)
To learn more about the pros and cons of using nightly vs. stable releases, see our notice about the two options.
The above command will:
More installation methods and additional options can be found at the installation page.
To try Netdata in a docker container, run this:
docker run -d --name=netdata \ -p 19999:19999 \ -v /etc/passwd:/host/etc/passwd:ro \ -v /etc/group:/host/etc/group:ro \ -v /proc:/host/proc:ro \ -v /sys:/host/sys:ro \ -v /var/run/docker.sock:/var/run/docker.sock:ro \ --cap-add SYS_PTRACE \ --security-opt apparmor=unconfined \ netdata/netdata
For more information about running Netdata in docker, check the docker installation page.
From Netdata v1.12 and above, anonymous usage information is collected by default and sent to Google Analytics. To read more about the information collected and how to opt-out, check the anonymous statistics page.
Netdata has a quite different approach to monitoring.
Netdata is a monitoring agent you install on all your systems. It is:
All the above, are packaged together in a very flexible, extremely modular, distributed application.
This is how Netdata compares to other monitoring solutions:
|Netdata||others (open-source and commercial)|
|High resolution metrics (1s granularity)||Low resolution metrics (10s granularity at best)|
|Monitors everything, thousands of metrics per node||Monitor just a few metrics|
|UI is super fast, optimized for anomaly detection||UI is good for just an abstract view|
|Meaningful presentation, to help you understand the metrics||You have to know the metrics before you start|
|Install and get results immediately||Long preparation is required to get any useful results|
|Use it for troubleshooting performance problems||Use them to get 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|
Netdata is open-source, free, super fast, very easy, completely open, extremely efficient, flexible and integrate-able.
It has been designed by SysAdmins, DevOps and Developers for troubleshooting performance problems, not just visualize metrics.
Oct 18th, 2019 - Netdata v1.18.1 released!
Release v1.18.1 contains 17 bug fixes, 5 improvements, and 5 documentation updates.
The patch has several bug fixes, mainly related to FreeBSD and the binary package generation process.
Netdata can now send notifications to Google Hangouts Chat!
On certain systems, the
slabinfo plugin introduced in v1.18.0 added thousands of new metrics. We decided the collector’s usefulness to most users didn’t justify the increase in resource requirements. This release disables the collector by default.
Finally, we added a chart under Netdata Monitoring to present a better view of the RAM used by the database engine (dbengine). The chart doesn’t currently take into consideration the RAM used for slave nodes, so we intend to add more related charts in the future.
Oct 10th, 2019 - Netdata v1.18.0 released!
Release v1.18.0 contains 5 new collectors, 16 bug fixes, 27 improvements, and 20 documentation updates.
The database engine is now the default method of storing metrics in Netdata. You immediately get more efficient and configurable long-term metrics storage without any work on your part. By saving recent metrics in RAM and “spilling” historical metrics to disk for long-term storage, the database engine is laying the foundation for many more improvements to distributed metrics.
go.d plugins now have more intelligent auto-detection by periodically dump a list of active modules to disk. When Netdata starts, such as after a reboot, the plugins use this list of known services to re-establish metrics collection much more reliably. No more worrying if the service or application you need to monitor starts up minutes after Netdata.
Two of our new collectors will help those with Hadoop big data infrastructures. The HDFS and Zookeeper collection modules come with essential alarms requested by our community and Netdata’s auto-detection capabilities to keep the required configuration to an absolute minimum. Read up on the process via our HDFS and Zookeeper tutorial.
Speaking of new collectors—we also added the ability to collect metrics from SLAB cache, Gearman, and vCenter Server Appliances.
Before v1.18, if you wanted to create alarms for each dimension in a single chart, you need to write separate entities for each dimension—not very efficient or user-friendly. New dimension templates fix that hassle. Now, a single entity can automatically generate alarms for any number of dimensions in a chart, even those you weren’t aware of! Our tutorial on dimension templates has all the details.
v1.18 brings support for installing Netdata on offline or air-gapped systems. To help users comply with strict security policies, our installation scripts can now install Netdata using previously-downloaded tarball and checksums instead of downloading them at runtime. We have guides for installing offline via
kickstart-static64.sh in our installation documentation. We’re excited to bring real-time monitoring to once-inaccessible systems!
Sep 12th, 2019 - Netdata v1.17.1 released!
Release v1.17.1 contains 2 bug fixes, 6 improvements, and 2 documentation updates.
The main reason for the patch release is an essential fix to the repeating alarm notifications we introduced in v1.17.0. If you enabled repeating notifications, Netdata would not then send CLEAR notifications for the selected alarms.
The release also includes a significant improvement to Netdata’s auto-detection capabilities, especially after a system restart. Netdata now remembers which
python.d plugin jobs were successfully collecting data the last time it was running, and retries to run those jobs for 5 minutes before giving up. As a result, you no longer have to worry if your system starts Netdata before the monitored services have had a chance to start properly. We will complete the same improvement for
go.d plugins in v1.18.0.
We also made some improvements to our binary packages and added a neat sample custom dashboard that can show charts from multiple Netdata agents.
Sep 3rd, 2019 - Netdata v1.17.0 released!
Release v1.17.0 contains 38 bug fixes, 33 improvements, and 20 documentation updates.
You can now change the data collection frequency at will, without losing previously collected values. A major improvement to the new database engine allows you not only to store metrics at variable granularity, but also to autoscale the time axis of the charts, depending on the data collection frequencies used during the presented time.
You can also now monitor VM performance from one or more vCenter servers with a new VSphere collector. In addition, the
proc plugin now also collects ZRAM device performance metrics and the
apps plugin monitors process uptime for the defined process groups.
Continuing our efforts to integrate with as many existing solutions as possible, you can now directly archive metrics from Netdata to MongoDB via a new backend.
Netdata badges now support international (UTF8) characters! We also made our URL parser smarter, not only for international character support, but also for other strange API queries.
We also added
.DEB packages to our binary distribution repositories at Packagecloud, a new collector for Linux zram device metrics, and support for plain text email notifications.
This release includes several fixes and improvements to the TLS encryption feature we introduced in v1.16.0. First, encryption slave-to-master streaming connections wasn’t working as intended. And second, our community helped us discover cases where HTTP requests were not correctly redirected to HTTPS with TLS enabled. This release mitigates those issues and improves TLS support overall.
Finally, we improved the way Netdata displays charts with no metrics. By default, Netdata displays charts for disks, memory, and networks only when the associated metrics are not zero. Users could enable these charts permanently using the corresponding configuration options, but they would need to change more than 200 options. With this new improvement, users can enable all charts with zero values using a single, global configuration parameter.
Jul 9th, 2019 - Netdata v1.16.0 released!
Release v1.16.0 contains 40 bug fixes, 31 improvements and 20 documentation updates
Binary distributions. To improve the security, speed and reliability of new Netdata installations, we are delivering our own, industry standard installation method, with binary package distributions. The RPM binaries for the most common OSs are already available on packagecloud and we’ll have the DEB ones available very soon. All distributions are considered in Beta and, as always, we depend on our amazing community for feedback on improvements.
This version also brings two long-awaited features to Netdata’s health monitoring:
As always, we’ve introduced new collectors, 5 of them this time:
perfplugin collects system-wide CPU performance statistics from Performance Monitoring Units (PMU) using the
perf_event_open()system call. You can read a wonderful article on why this is useful here.
Finally, the DB Engine introduced in v1.15.0 now uses much less memory and is more robust than before.
May 21st, 2019 - Netdata v1.15.0 released!
Release v1.15.0 contains 11 bug fixes and 30 improvements.
We are very happy and proud to be able to include two major improvements in this release: The aggregated node view and the new database engine.
Aggregated node view
The No. 1 request from our community has been a better way to view and manage their Netdata installations, via an aggregated view. The node menu with the simple list of hosts on the agent UI just didn’t do it for people with hundreds, or thousands of instances. This release introduces the node view, which uses the power of Netdata Cloud to deliver powerful views of a Netdata-based monitoring infrastructure. You can read more about Netdata Cloud and the future of Netdata here.
New database engine
Historically, Netdata has required a lot of memory for long-term metrics storage. To mitigate this we’ve been building a new DB engine for several months and will continue improving until it can become the default
memory mode for new Netdata installations. The version included in release v1.15.0 already permits longer-term storage of compressed data and we’ll continue reducing the required memory in following releases.
Other major additions
We continued improving the Kubernetes helmchart with liveness probes for slaves, persistence options, a fix for a
Cannot allocate memory issue and easy configuration for the kubelet, kube-proxy and coredns collectors.
Finally, we built a process to quickly replace any problematic nightly builds and added more automated CI tests to prevent such builds from being published in the first place.
Apr 26th, 2019 - Netdata v1.14.0 released!
Release 1.14 contains 14 bug fixes and 24 improvements.
Mar 14th, 2019 - Netdata v1.13.0 released!
Release 1.13.0 contains 14 bug fixes and 8 improvements.
Netdata has taken the first step into the world of Kubernetes, with a beta version of a Helm chart for deployment to a k8s cluster and proper naming of the cgroup containers. We have big plans for Kubernetes, so stay tuned!
A major refactoring of the python.d plugin has resulted in a dramatic decrease of the required memory, making Netdata even more resource efficient.
We also added charts for IPC shared memory segments and total memory used.
Feb 28th, 2019 - Netdata v1.12.2 released!
Patch release 1.12.2 contains 7 bug fixes and 4 improvements.
The main motivation behind a new patch release is the introduction of a stable release channel. A “stable” installation and update channel was always on our roadmap, but it became a necessity when we realized that our users in China could not use the nightly releases published on Google Cloud. The “stable” channel is based on our official GitHub releases and uses assets hosted on GitHub.
We are also introducing a new Oracle DB collector module, implemented in Python.
Feb 21st, 2019 - Netdata v1.12.1 released!
Patch release 1.12.1 contains 22 bug fixes and 8 improvements.
Feb 14th, 2019 - Netdata v1.12.0 released!
Release 1.12 is made out of 211 pull requests and 22 bug fixes. The key improvements are:
netdata.cloud, the free Netdata service for all Netdata users
Nov 22nd, 2018 - Netdata v1.11.1 released!
my-netdatamenu has been refactored.
openrcservice definition got a few improvements.
Sep 18, 2018 - Netdata has its own organization
Netdata used to be a firehol.org project, accessible as
Netdata now has its own github organization
netdata, so all github URLs are now
netdata/netdata. The old github URLs, repo clones, forks, etc redirect automatically to the new repo.
Netdata is a highly efficient, highly modular, metrics management engine. Its lockless design makes it ideal for concurrent operations on the metrics.
This is how it works:
|Collect||Multiple independent data collection workers are collecting metrics from their sources using the optimal protocol for each application and push the metrics to the database. Each data collection worker has lockless write access to the metrics it collects.||
|Store||Metrics are stored in RAM in a round robin database (ring buffer), using a custom made floating point number for minimal footprint.||
|Check||A lockless independent watchdog is evaluating health checks on the collected metrics, triggers alarms, maintains a health transaction log and dispatches alarm notifications.||
|Stream||An lockless independent worker is streaming metrics, in full detail and in real-time, to remote Netdata servers, as soon as they are collected.||
|Archive||A lockless independent worker is down-sampling the metrics and pushes them to backend time-series databases.||
|Query||Multiple independent workers are attached to the internal web server, servicing API requests, including data queries.||
The result is a highly efficient, low latency system, supporting multiple readers and one writer on each metric.
This is a high level overview of Netdata feature set and architecture. Click it to to interact with it (it has direct links to documentation).
This is what you should expect from Netdata:
To improve clarity on charts, Netdata dashboards present positive values for metrics representing
received and negative values for metrics representing
Netdata charts showing the bandwidth and packets of a network interface.
received is positive and
sent is negative.
Netdata charts automatically zoom vertically, to visualize the variation of each metric within the visible time-frame.
A zero based
stacked chart, automatically switches to an auto-scaled
area chart when a single dimension is selected.
Charts on Netdata dashboards are synchronized to each other. There is no master chart. Any chart can be panned or zoomed at any time, and all other charts will follow.
Charts are panned by dragging them with the mouse. Charts can be zoomed in/out with
mouse wheel while the mouse pointer is over a chart.
The visible time-frame (pan and zoom) is propagated from Netdata server to Netdata server, when navigating via the node menu.
To improve visual anomaly detection across charts, the user can highlight a time-frame (by pressing
mouse selection) on all charts.
A highlighted time-frame can be given by pressing
mouse selection on any chart. Netdata will highlight the same range on all charts.
Highlighted ranges are propagated from Netdata server to Netdata server, when navigating via the node menu.
Netdata data collection is extensible - you can monitor anything you can get a metric for. Its Plugin API supports all programing languages (anything can be a Netdata plugin, BASH, python, perl, node.js, java, Go, ruby, etc).
tcclasses in real-time.
mod-status(v2.2, v2.4) and cache log statistics, for multiple servers.
stub-status, for multiple servers.
access.logfiles - extracting in real-time, web server and proxy performance metrics and applying several health checks, etc.
named.statsdump file to collect real-time performance metrics. All versions of bind after 9.6 are supported.
chronyccommand to collect chrony statistics (Frequency, Last offset, RMS offset, Residual freq, Root delay, Root dispersion, Skew, System time).
radclientcommand to provide freeradius statistics (authentication, accounting, proxy-authentication, proxy-accounting).
You can easily extend Netdata, by writing plugins that collect data from any source, using any computer language.
The Netdata documentation is at https://docs.netdata.cloud. But you can also find it inside the repo, so by just navigating the repo on github you can find all the documentation.
Here is a quick list:
||Instructions to install Netdata on your systems.|
||Instructions to install Netdata using docker.|
||Information about the Netdata daemon and its configuration.|
||Information about data collection plugins.|
||How Netdata’s health monitoring works, how to create your own alarms and how to configure alarm notification methods.|
||How to build hierarchies of Netdata servers, by streaming metrics between them.|
||Long term archiving of metrics to industry standard time-series databases, like
||Learn how to query the Netdata API and the queries it supports.|
||Learn how to generate badges (SVG images) from live data.|
||Learn how to create custom Netdata dashboards.|
||Learn how to create Netdata dashboards on Atlassian’s Confluence.|
You can also check all the other directories. Most of them have plenty of documentation.
We welcome contributions. So, feel free to join the team.
To report bugs, or get help, use GitHub Issues.
You can also find Netdata on:
Netdata is GPLv3+.
Netdata re-distributes other open-source tools and libraries. Please check the third party licenses.
When people first hear about a new product, they frequently ask if it is any good. A Hacker News user remarked:
Note to self: Starting immediately, all raganwald projects will have a “Is it any good?” section in the readme, and the answer shall be “yes.“.
So, we follow the tradition…
These people seem to like it.