Netdata's distributed, real-time monitoring Agent collects thousands of metrics from systems, hardware, containers, and applications with zero configuration.

Overview

Netdata

Netdata is high-fidelity infrastructure monitoring and troubleshooting.
Open-source, free, preconfigured, opinionated, and always real-time.


Latest release Build status CII Best Practices License: GPL v3+ analytics
Code Climate Codacy LGTM C LGTM PYTHON

---

Netdata's distributed, real-time monitoring Agent collects thousands of metrics from systems, hardware, containers, and applications with zero configuration. It runs permanently on all your physical/virtual servers, containers, cloud deployments, and edge/IoT devices, and is perfectly safe to install on your systems mid-incident without any preparation.

You can install Netdata on most Linux distributions (Ubuntu, Debian, CentOS, and more), container platforms (Kubernetes clusters, Docker), and many other operating systems (FreeBSD, macOS). No sudo required.

Netdata is designed by system administrators, DevOps engineers, and developers to collect everything, help you visualize metrics, troubleshoot complex performance problems, and make data interoperable with the rest of your monitoring stack.

People get addicted to Netdata. Once you use it on your systems, there's no going back! You've been warned...

Users who are addicted to Netdata

Latest release: v1.30.0, March 31, 2021

The v1.30.0 release of Netdata brings major improvements to our packaging and completely replaces Google Analytics/GTM for product telemetry. We're also releasing the first changes in an upcoming overhaul to both our dashboard UI/UX and the suite of preconfigured alarms that comes with every installation.

Menu

Features

Netdata in action

Here's what you can expect from Netdata:

  • 1s granularity: The highest possible resolution for all metrics.
  • Unlimited metrics: Netdata collects all the available metrics—the more, the better.
  • 1% CPU utilization of a single core: It's unbelievably optimized.
  • A few MB of RAM: The highly-efficient database engine stores per-second metrics in RAM and then "spills" historical metrics to disk long-term storage.
  • Minimal disk I/O: While running, Netdata only writes historical metrics and reads error and access logs.
  • Zero configuration: Netdata auto-detects everything, and can collect up to 10,000 metrics per server out of the box.
  • Zero maintenance: You just run it. Netdata does the rest.
  • Stunningly fast, interactive visualizations: The dashboard responds to queries in less than 1ms per metric to synchronize charts as you pan through time, zoom in on anomalies, and more.
  • Visual anomaly detection: Our UI/UX emphasizes the relationships between charts to help you detect the root cause of anomalies.
  • Scales to infinity: You can install it on all your servers, containers, VMs, and IoT devices. Metrics are not centralized by default, so there is no limit.
  • Several operating modes: Autonomous host monitoring (the default), headless data collector, forwarding proxy, store and forward proxy, central multi-host monitoring, in all possible configurations. Use different metrics retention policies per node and run with or without health monitoring.

Netdata works with tons of applications, notifications platforms, and other time-series databases:

  • 300+ system, container, and application endpoints: Collectors autodetect metrics from default endpoints and immediately visualize them into meaningful charts designed for troubleshooting. See everything we support.
  • 20+ notification platforms: Netdata's health watchdog sends warning and critical alarms to your favorite platform to inform you of anomalies just seconds after they affect your node.
  • 30+ external time-series databases: Export resampled metrics as they're collected to other local- and Cloud-based databases for best-in-class interoperability.

💡 Want to leverage the monitoring power of Netdata across entire infrastructure? View metrics from any number of distributed nodes in a single interface and unlock even more features with Netdata Cloud.

Get Netdata

User base Servers monitored Sessions served Docker Hub pulls
New users today New machines today Sessions today Docker Hub pulls today

To install Netdata from source on most Linux systems (physical, virtual, container, IoT, edge), run our one-line installation script. This script downloads and builds all dependencies, including those required to connect to Netdata Cloud if you choose, and enables automatic nightly updates and anonymous statistics.

bash <(curl -Ss https://my-netdata.io/kickstart.sh)

To view the Netdata dashboard, navigate to http://localhost:19999, or http://NODE:19999.

Docker

You can also try out Netdata's capabilities in a Docker container:

docker run -d --name=netdata \
  -p 19999:19999 \
  -v netdataconfig:/etc/netdata \
  -v netdatalib:/var/lib/netdata \
  -v netdatacache:/var/cache/netdata \
  -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 /etc/os-release:/host/etc/os-release:ro \
  --restart unless-stopped \
  --cap-add SYS_PTRACE \
  --security-opt apparmor=unconfined \
  netdata/netdata

To view the Netdata dashboard, navigate to http://localhost:19999, or http://NODE:19999.

Other operating systems

See our documentation for additional operating systems, including Kubernetes, .deb/.rpm packages, and more.

Post-installation

When you're finished with installation, check out our single-node or infrastructure monitoring quickstart guides based on your use case.

Or, skip straight to configuring the Netdata Agent.

Read through Netdata's documentation, which is structured based on actions and solutions, to enable features like health monitoring, alarm notifications, long-term metrics storage, exporting to external databases, and more.

How it works

Netdata is a highly efficient, highly modular, metrics management engine. Its lockless design makes it ideal for concurrent operations on the metrics.

Diagram of Netdata's core functionality

The result is a highly efficient, low-latency system, supporting multiple readers and one writer on each metric.

Infographic

This is a high-level overview of Netdata features and architecture. Click on it to view an interactive version, which has links to our documentation.

An infographic of how Netdata works

Documentation

Netdata's documentation is available at Netdata Learn.

This site also hosts a number of guides to help newer users better understand how to collect metrics, troubleshoot via charts, export to external databases, and more.

Community

Netdata is an inclusive open-source project and community. Please read our Code of Conduct.

Find most of the Netdata team in our community forums. It's the best place to ask questions, find resources, and engage with passionate professionals.

You can also find Netdata on:

Contribute

Contributions are the lifeblood of open-source projects. While we continue to invest in and improve Netdata, we need help to democratize monitoring!

  • Read our Contributing Guide, which contains all the information you need to contribute to Netdata, such as improving our documentation, engaging in the community, and developing new features. We've made it as frictionless as possible, but if you need help, just ping us on our community forums!
  • We have a whole category dedicated to contributing and extending Netdata on our community forums
  • Found a bug? Open a GitHub issue.
  • View our Security Policy.

Package maintainers should read the guide on building Netdata from source for instructions on building each Netdata component from source and preparing a package.

License

The Netdata Agent is GPLv3+. Netdata re-distributes other open-source tools and libraries. Please check the third party licenses.

Is it any good?

Yes.

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.".

Comments
  • what our users say about netdata?

    what our users say about netdata?

    In this thread we collect interesting (or funny, or just plain) posts, blogs, reviews, articles, etc - about netdata.

    1. don't start discussions on this post
    2. if you want to post, post the link to the original post and a screenshot!
    help wanted 
    opened by ktsaou 116
  • Prometheus Support

    Prometheus Support

    Hey guys,

    I recently started using prometheus and I enjoy the simplicity. I want to begin to understand what it would take to implement prometheus support within Netdata. I think this is a great idea because it allows the distributed fashion of netdata to exist along with having persistence at prometheus. Centralized graphing (not monitoring) can now happen with grafana. Netdata is a treasure trove of metrics already - making this a worth wild project.

    Prometheus expects a rest end point to exist which publishes a metric, labels, and values. It will poll this endpoint at a desired time frame and ingest the metrics during that poll.

    To get the ball rolling, how are you currently serving http in Netdata? Is this an embedded sockets server in C ?

    opened by ldelossa 108
  • python.d enhancements

    python.d enhancements

    @paulfantom I am writing here a TODO list for python.d based on my findings.

    • [x] DOCUMENTATION in wiki.

    • [x] log flood protection - it will require 2 parameters: logs_per_interval = 200 and log_interval = 3600. So, every hour (this_hour = int(now / log_interval)) it should reset the counter and allow up to logs_per_interval log entries until the next hour.

      This is how netdata does it: https://github.com/firehol/netdata/blob/d7b083430de1d39d0196b82035162b4483c08a3c/src/log.c#L33-L107

    • [x] support ipv6 for SocketService (currently redis and squid)

    • [x] netdata passes the environment variable NETDATA_HOST_PREFIX. cpufreq should use this to prefix sys_dir automatically. This variable is used when netdata runs in a container. The system directories /proc, /sys of the host should be exposed with this prefix.

    • [ ] the URLService should somehow support proxy configuration.

    • [ ] the URLService should support Connection: keep-alive.

    • [x] The service that runs external commands should be more descriptive. Example running exim plugin when exim is not installed:

      python.d ERROR: exim_local exim [Errno 2] No such file or directory
      python.d ERROR: exim_local exim [Errno 2] No such file or directory
      python.d ERROR: exim: is misbehaving. Reason:'NoneType' object has no attribute '__getitem__'
      
    • [x] This message should be a debug log No unix socket specified. Trying TCP/IP socket.

    • [x] This message could state where it tried to connect: [Errno 111] Connection refused

    • [x] This message could state the hostname it tried to resolve: [Errno -9] Address family for hostname not supported

    • [x] This should state the job name, not the name:

      python.d ERROR: redis/local: check() function reports failure.
      
    • [x] This should state with is the problem:

      # ./plugins.d/python.d.plugin debug cpufreq 1
      INFO: Using python v2
      python.d INFO: reading configuration file: /etc/netdata/python.d.conf
      python.d INFO: MODULES_DIR='/root/netdata/python.d/', CONFIG_DIR='/etc/netdata/', UPDATE_EVERY=1, ONLY_MODULES=['cpufreq']
      python.d DEBUG: cpufreq: loading module configuration: '/etc/netdata/python.d/cpufreq.conf'
      python.d DEBUG: cpufreq: reading configuration
      python.d DEBUG: cpufreq: job added
      python.d INFO: Disabled cpufreq/None
      python.d ERROR: cpufreq/None: check() function reports failure.
      python.d FATAL: no more jobs
      DISABLE
      
    • [x] ~~There should be a configuration entry in python.d.conf to set the PATH to be searched for commands. By default everything in /usr/sbin/ is not found.~~ Added #695 to do this at the netdata daemon for all its plugins.

    • [x] The default retries in the code, for all modules, is 5 or 10. I suggest to make them 60 for all modules. There are many services that cannot be restarted within 5 seconds.

      Made it in #695

    • [x] When a service reports failure to collect data (during update()), there should be log entry stating the reason of failure.

    • [x] Handling of incremental dimensions in LogService

    • [x] Better autodetection of disk count in hddtemp.chart.py

    • [ ] Move logging mechanism to utilize logging module.

    more to come...

    area/collectors collectors/python.d 
    opened by ktsaou 100
  • netdata package maintainers

    netdata package maintainers

    This issue has been converted to a wiki page

    For the latest info check it here: https://github.com/firehol/netdata/wiki/netdata-package-maintainers


    I think it would be useful to prepare a wiki page with information about the maintainers of netdata for the Linux distributions, automation systems, containers, etc.

    Let's see who is who:


    Official Linux Distributions

    | Linux Distribution | Netdata Version | Maintainer | Related URL | | :-: | :-: | :-: | :-- | | Arch Linux | Release | @svenstaro | netdata @ Arch Linux | | Arch Linux AUR | Git | @sanskritfritz | netdata @ AUR | | Gentoo Linux | Release + Git | @candrews | netdata @ gentoo | | Debian | Release | @lhw @FedericoCeratto | netdata @ debian | | Slackware | Release | @willysr | netdata @ slackbuilds | Ubuntu | | | | | Red Hat / Fedora / Centos | | | | | SuSe / openSuSe | | | |


    FreeBSD

    System|Initial PR|Core Developer|Package Maintainer |:-:|:-:|:-:|:-:| FreeBSD|#1321|@vlvkobal|@mmokhi


    MacOS

    System|URL|Core Developer|Package Maintainer |:-:|:-:|:-:|:-:| MacOS Homebrew Formula|link|@vlvkobal|@rickard-von-essen


    Unofficial Linux Packages

    | Linux Distribution | Netdata Version | Maintainer | Related URL | | :-: | :-: | :-: | :-- | | Ubuntu | Release | @gslin | netdata @ gslin ppa https://github.com/firehol/netdata/issues/69#issuecomment-217458543 |


    Embedded Linux

    | Embedded Linux | Netdata Version | Maintainer | Related URL | | :-: | :-: | :-: | :-- | | ASUSTOR NAS | ? | William Lin | https://www.asustor.com/apps/app_detail?id=532 | | OpenWRT | Release | @nitroshift | openwrt package | | ReadyNAS | Release | @NAStools | https://github.com/nastools/netdata | | QNAP | Release | QNAP_Stephane | https://forum.qnap.com/viewtopic.php?t=121518 | | DietPi | Release | @Fourdee | https://github.com/Fourdee/DietPi |


    Linux Containers

    | Containers | Netdata Version | Maintainer | Related URL | | :-: | :-: | :-: | :-- | | Docker | Git | @titpetric | https://github.com/titpetric/netdata |


    Automation Systems

    | Automation Systems | Netdata Version | Maintainer | Related URL | | :-: | :-: | :-: | :-- | | Ansible | git | @jffz | https://galaxy.ansible.com/jffz/netdata/ | | Chef | ? | @sergiopena | https://github.com/sergiopena/netdata-cookbook |


    If you know other maintainers of distributions that should be mentioned, please help me complete the list...

    cc: @mcnewton @philwhineray @alonbl @simonnagl @paulfantom

    area/packaging area/docs 
    opened by ktsaou 95
  • new prometheus format

    new prometheus format

    Based on recent the discussion on #1497 with @brian-brazil, this PR changes the format netdata sends metrics to prometheus.

    One of the key differences of netdata with traditional time-series solutions, is that it organises metrics in hosts having collections of metrics called charts.

    charts

    Each chart has several properties (common to all its metrics):

    chart_id - it serves 3 purposes: defines the chart application (e.g. mysql), the application instance (e.g. mysql_local or mysql_db2) and the chart type mysql_local.io, mysql_db2.io). However, there is another format: disk_ops.sda (it should be disk_sda.ops). There is issue #807 to normalize these better, but until then, this is how netdata works today.

    chart_name - a more human friendly name for chart_id.

    context - this is the same with above with the application instance removed. So it is mysql.io or disk.ops. Alarm templates use this.

    family is the submenu of the dashboard. Unfortunately, this is again used differently in several cases. For example disks and network interfaces have the disk or the network interface. But mysql uses it just to group multiple chart together and postgres uses both (groups charts, and provide different sections for different databases).

    units is the units for all the metrics attached to the chart.

    dimensions

    Then each chart contains metrics called dimensions. All the dimensions of a chart have the same units of measurement and should be contextually in the same category (ie. the metrics for disk bandwidth are read and write and they are both in the same chart).


    So, there are hosts (multiple netdata instances), each has its own charts, each with its own dimensions (metrics).

    The new prometheus format

    The old format netdata used for prometheus was: CHART_DIMENSION{instance="HOST}

    The new format depends on the data source requested. netdata supports the following data sources:

    • as collected or raw, to send the raw values collected
    • average, to send averages
    • sum or volume to send sums

    The default is the one defined in netdata.conf: [backend].data source = average (changing netdata.conf changes the format for prometheus too). However, prometheus may directly ask for a specific data source by appending &source=SOURCE to the URL (SOURCE being one of the options above).

    When the data source is as collected or raw, the format of the metrics is:

    CONTEXT_DIMENSION{chart="CHART",family="FAMILY",instance="HOSTNAME"}
    

    In all other cases (average, sum, volume), it is:

    CONTEXT{chart="CHART",family="FAMILY",dimension="DIMENSION",instance="HOSTNAME"}
    

    The above format fixes #1519

    time range

    When the data source is average, sum or volume, netdata has to decide the time-range it will calculate the average or the sum.

    The first time a prometheus server hits netdata, netdata will respond with the time frame defined in [backend].update every. But for all queries after the first, netdata remembers the last time it was accessed and responds with the time range since the last time prometheus asked for metrics.

    Each netdata server can respond to multiple prometheus servers. It remembers the last time it was accessed, for each prometheus IP requesting metrics. If the IP is not good enough to distinguish prometheus servers, each prometheus may append &server=PROMETHEUS_NAME to the URL. Then netdata will remember the last time it was accessed for each PROMETHEUS_NAME given.

    instance="HOSTNAME"

    instance="HOSTNAME" is sent only if netdata is called with format=prometheus_all_hosts. If netdata is called with format=prometheus, the instance is not added to the metrics.

    host tags

    Host tags are configured in netdata.conf, like this:

    [backend]
        host tags = tag1="value1",tag2="value2",...
    

    Netdata includes this line at the top of the response:

    netdata_host_tags{tag1="value1",tag2="value2"} 1 1499541463610
    

    The tags are not processed by netdata. Anything set at the host tags config option is just copied. netdata propagates host tags to masters and proxies when streaming metrics.

    If the netdata response includes multiple hosts, netdata_host_tags also includes `instance="HOSTNAME".

    opened by ktsaou 93
  • Redis python module + minor fixes

    Redis python module + minor fixes

    1. Nginx is shown as nginx: local in dashboard while using python or bash module.
    2. NetSocketService changed name to SocketService, which now can use unix sockets as well as TCP/IP sockets
    3. changed and tested new python shebang (yes it works)
    4. fixed issue with wrong data parsing in exim.chart.py
    5. changed whitelisting method in ExecutableService. It is very probable that whitelisting is not needed, but I am not sure.
    6. Added redis.chart.py

    I have tested this and it works.

    After merging this I need to take a break from rewriting modules to python. There are only 3 modules left, but I don't have any data to create opensips.chart.py as well as nut.chart.py (so I cannot code parsers). I also need to do some more research to create ap.chart.py since using iw isn't the best method.

    opened by paulfantom 90
  • New journal disk based indexing for agent memory reduction

    New journal disk based indexing for agent memory reduction

    Summary

    The agent requires a lot of memory to index pages and how they map to the actual files that store metrics

    • Produce a new journal index file that the agent will MMAP and use that instead of creating all the entries in memory

    File structure

    The new file based index has a structure that allows quick access of the needed metadata. The file structure consists of

    • File header
    • List of extents
    • List of unique metric identifiers (sorted)
    • Detailed page info for each metric (page @ time information)

    During the agent start up, the journal replay only needs to create the necessary pages (unique metrics) which is very fast (initial tests indicate that is ~x100 faster than the current journal replay). This is aided by the fast that individual pages are not created in memory during startup but only when needed (during data queries).

    Pages that are no longer needed (evicted from the cache) are removed. They will also be removed when unused for more than 10 minutes.

    You can see the number of descriptors in memory under under netdata.dbengine_long_term_page_stats, journal v2 descriptors

    Creation of new journal index files

    When the agent starts it will check if a new index file exists for each journal file that needs to be processed. If it exists, it will use that instead. If the index file does not exist, it will replay the old journal file and use that information to create the new journal file and start using that immediately. The agent will generated new index files for all journals except the last (active) one

    New datafiles while the agent is running

    When a new datafile / journal pair is created the agent will check and create a new journal index file for the journal that was just completed.

    Known issues

    • New journal creation may not trigger index creation for the last journal file do to a race condition (pending transactions)

    Other fixes

    This PR also fixes:

    • [x] Bug in replication where overlapping time ranges were replicated unnecessarily
    • [x] Bug in streaming compression where under certain conditions corrupted data were offered for parsing
    • [x] Children connecting to a parent without compression were disabling compression globally for the host. Now compression is globally disabled only when there is a compression error.
    • [x] DBENGINE was under conditions allowing past time ranges to be injected to the database, resulting in overlapping data pages in the database. After this PR, DBENGINE only allows future data to be stored, relative to the last data collection time.
    Test Plan
    area/packaging area/docs area/web area/health area/collectors area/daemon area/database area/streaming collectors/plugins.d 
    opened by stelfrag 86
  • How to install openvpn plugin

    How to install openvpn plugin

    Question summary

    Hi, I'm new in servers and first time install debian 9 server on VPS. Then install openvpn with openvpn-install script. I try to install few montitoring tools for my server but always fault. Now I found netdata and it works like a charm. Install script is wanderfull ;) To monitor my openvpn server I have to do something with those files: python.d.plugin, ovpn_status_log.chart.py, python.d/ovpn_status_log.conf? I don't see any tutorial so can anyone guide me what to do?

    OS / Environment

    Debian 9 64bit

    Component Name

    openvpn

    Expected results

    see openvpn traffic

    Regards, Przemek

    question area/collectors collectors/python.d 
    opened by PrzemekSkw 83
  • Prototype: monitor disk space usage.

    Prototype: monitor disk space usage.

    This is just a prototype for disccussing some questions at this point.

    This will fix issues #249 and #74 when implemented properly.

    Questions

    1. Should we realy implement this at proc_diskstats.c? This does not get it's values from proc. I implemented it there because the file system data is already there and it produces a graph in this section.
    2. Shall we use statvfs (only mounted filesystems) or statfs (every filesystem)? If we use statfs we have to query mountinfo

    TODO

    • [x] Only add charts for filesystems where disk space is avaiable
    • [x] Do not allocate and free buffer statvfs all the time
    • [ ] Add this feature to the wiki
    • [x] Make unit more readable (TB, GB, MB depending on filesystem size)
    • [x] Do not display disk metrics for containers, only for disks

    This change is Reviewable

    opened by simonnagl 80
  • python.d modules configuration documentation

    python.d modules configuration documentation

    I suggest to add this header in all python.d/*.conf files:

    # netdata python.d.plugin configuration for ${MODULE}
    #
    # This file is in YaML format. Generally the format is:
    #
    # name: value
    #
    # There are 2 sections:
    #  - global variables
    #  - one or more JOBS
    #
    # JOBS allow you to collect values from multiple sources.
    # Each source will have its own set of charts.
    #
    # JOB parameters have to be indented (example below).
    #
    # ----------------------------------------------------------------------
    # Global Variables
    # These variables set the defaults for all JOBs, however each JOB
    # may define its own, overriding the defaults.
    #
    # update_every sets the default data collection frequency.
    # If unset, the python.d.plugin default is used.
    # update_every: 1
    #
    # priority controls the order of charts at the netdata dashboard.
    # Lower numbers move the charts towards the top of the page.
    # If unset, the default for python.d.plugin is used.
    # priority: 60000
    #
    # retries sets the number of retries to be made in case of failures.
    # If unset, the default for python.d.plugin is used.
    # Attempts to restore the service are made once every update_every
    # and only if the module has collected values in the past.
    # retries: 10
    #
    # ----------------------------------------------------------------------
    # JOBS (data collection sources)
    #
    # The default JOBS share the same *name*. JOBS with the same name
    # are mutually exclusive. Only one of them will be allowed running at
    # any time. This allows autodetection to try several alternatives and
    # pick the one that works.
    #
    # Any number of jobs is supported.
    #
    # All python.d.plugin JOBS (for all its modules) support a set of
    # predefined parameters. These are:
    #
    # job_name:
    #     name: myname     # the JOB's name as it will appear at the
    #                      # dashboard (by default is the job_name)
    #                      # JOBs sharing a name are mutually exclusive
    #     update_every: 1  # the JOB's data collection frequency
    #     priority: 60000  # the JOB's order on the dashboard
    #     retries: 10      # the JOB's number of restoration attempts
    #
    # Additionally to the above, ${MODULE} also supports the following.
    #
    

    where ${MODULE} is the name of each module.

    area/docs 
    opened by ktsaou 75
  • Major docker build refactor

    Major docker build refactor

    1. Unify Dockerfiles and move them from top-level dir to docker
    2. Add run.sh script as a container entrypoint
    3. Introduce docker builder stage (previously used only in alpine image)
    4. Removed Dockerfile parts from Makefile.am
    5. Allow passing custom options to netdata as a docker CMD parameter (bonus from using ENTRYPOINT script)
    6. Run netdata as user netdata with static UID of 201 and /usr/sbin/nologin as shell
    7. Use multiarch/alpine as a base for all images.
    8. One Dockerfile for all platforms

    Initially I've got uncompressed image size reduction from 276MB to 111MB and also size reduction for other images:

    $ docker image ls
    REPOSITORY    TAG       SIZE     COMPRESSED
    netdata       i386      112MB    42MB
    netdata       amd64     111MB    41MB
    netdata       armhf     104MB    39MB
    netdata       aarch64   107MB    39MB
    

    Images are built with ./docker/build.sh command

    Resolves #3972

    opened by paulfantom 74
  • Remove eBPF plugin warning

    Remove eBPF plugin warning

    Summary

    Remove next warning

    Nov 27 10:07:45 lab-nd-dev-parent2 ebpf.plugin[1835034]: pointer 0x55fe893d5c30 is not our pointer (called freez_int() from [email protected]/ebpf/ebpf.c, kernel_is_rejected()).
    

    because we were cleanup memory with z functions where we should not.

    Test Plan
    1. Compile PR with flag -DNETDATA_TRACE_ALLOCATIONS=1 and start netdata
    2. Wait few minutes and stop plugin, you should not have the warning.
    3. Recompile now master branch and execute previous step. You will have the error again.
    Additional Information
    For users: How does this change affect me? Describe the PR affects users: - Which area of Netdata is affected by the change? ebpf.plugin - Can they see the change or is it an under the hood? If they can see it, where? o - How is the user impacted by the change? Remove a warning when they are learning how netdata works. - What are there any benefits of the change? A coherent plugin.
    opened by thiagoftsm 0
  • [Feat]: `api/v1/dataframe`

    [Feat]: `api/v1/dataframe`

    Problem

    I would like to get data from multiple charts in one simple api call to the agent.

    Description

    I want to hit api/v1/dataframe?chart_filter=apps.cpu*|apps.*mem&freq=30s&dimension_filter=ssh|cron&group=average&after=-3600&before=0&format=csv

    To get back a csv table of dimensions matching ssh or cron from all apps.cpu* and apps.*mem charts. Averaged to a frequency (freq) of 30s (so use that to determine points - too hard for me as user to think of that).

    Importance

    really want

    Value proposition

    1. a proper and efficient /dataframe api will be very useful in opening up many data and ml featurse as i can get all data i need from agent in one call. ...

    Proposed implementation

    An api endpoint that can have additional complexity layers on like pre and post proccessing steps etc that can be pushed down to the agent when/where makese sense.

    feature request needs triage 
    opened by andrewm4894 3
  • [WIP] Adds some introspection into the MQTT_WSS

    [WIP] Adds some introspection into the MQTT_WSS

    Summary

    Adds charts to be able to see inner workings and state of mqtt_websockets stack on the dashboard

    Test Plan
    Additional Information
    For users: How does this change affect me?
    area/ACLK area/build 
    opened by underhood 0
  • [Bug]: Configure Netdata Postgresql 10 and PgAgent

    [Bug]: Configure Netdata Postgresql 10 and PgAgent

    Bug description

    Error in scenario with PgAgent Postgresql 10

    2022-11-22 15:55:25.242 -03 [2604435] [email protected] ERROR: permission denied for schema pgagent 2022-11-22 15:55:25.242 -03 [2604435] [email protected] STATEMENT: SELECT current_database() as datname, schemaname, relname, seq_scan, seq_tup_read, idx_scan, idx_tup_fetch, n_tup_ins, n_tup_upd, n_tup_del, n_tup_hot_upd, n_live_tup, n_dead_tup, EXTRACT(epoch from now() - last_vacuum) as last_vacuum, EXTRACT(epoch from now() - last_autovacuum) as last_autovacuum, EXTRACT(epoch from now() - last_analyze) as last_analyze, EXTRACT(epoch from now() - last_autoanalyze) as last_autoanalyze, vacuum_count, autovacuum_count, analyze_count, autoanalyze_count, pg_total_relation_size(quote_ident(schemaname) || '.' || quote_ident(relname)) as total_relation_size FROM pg_stat_user_tables;

    Expected behavior

    The Netdata user has already been released in Postgresql: GRANT pg_monitor TO netdata;

    Steps to reproduce

    Default netdata configured

    Installation method

    other

    System info

    Linux BD02 5.4.0-110-generic #124-Ubuntu SMP Thu Apr 14 19:46:19 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux
    /etc/lsb-release:DISTRIB_ID=Ubuntu
    /etc/lsb-release:DISTRIB_RELEASE=20.04
    /etc/lsb-release:DISTRIB_CODENAME=focal
    /etc/lsb-release:DISTRIB_DESCRIPTION="Ubuntu 20.04.2 LTS"
    /etc/os-release:NAME="Ubuntu"
    /etc/os-release:VERSION="20.04.2 LTS (Focal Fossa)"
    /etc/os-release:ID=ubuntu
    /etc/os-release:ID_LIKE=debian
    /etc/os-release:PRETTY_NAME="Ubuntu 20.04.2 LTS"
    /etc/os-release:VERSION_ID="20.04"
    /etc/os-release:VERSION_CODENAME=focal
    /etc/os-release:UBUNTU_CODENAME=focal
    

    Netdata build info

    Version: netdata v1.36.0-380-nightly
    Configure options:  '--build=x86_64-linux-gnu' '--includedir=${prefix}/include' '--mandir=${prefix}/share/man' '--infodir=${prefix}/share/info' '--disable-silent-rules' '--libdir=${prefix}/lib/x86_64-linux-gnu' '--libexecdir=${prefix}/lib/x86_64-linux-gnu' '--disable-maintainer-mode' '--prefix=/usr' '--sysconfdir=/etc' '--localstatedir=/var' '--libdir=/usr/lib' '--libexecdir=/usr/libexec' '--with-user=netdata' '--with-math' '--with-zlib' '--with-webdir=/var/lib/netdata/www' '--disable-dependency-tracking' 'build_alias=x86_64-linux-gnu' 'CFLAGS=-g -O2 -fdebug-prefix-map=/usr/src/netdata=. -fstack-protector-strong -Wformat -Werror=format-security' 'LDFLAGS=-Wl,-Bsymbolic-functions -Wl,-z,relro' 'CPPFLAGS=-Wdate-time -D_FORTIFY_SOURCE=2' 'CXXFLAGS=-g -O2 -fdebug-prefix-map=/usr/src/netdata=. -fstack-protector-strong -Wformat -Werror=format-security'
    Install type: binpkg-deb
        Binary architecture: x86_64
        Packaging distro:
    Features:
        dbengine:                   YES
        Native HTTPS:               YES
        Netdata Cloud:              YES
        ACLK:                       YES
        TLS Host Verification:      YES
        Machine Learning:           YES
        Stream Compression:         YES
    Libraries:
        protobuf:                YES (system)
        jemalloc:                NO
        JSON-C:                  YES
        libcap:                  NO
        libcrypto:               YES
        libm:                    YES
        tcalloc:                 NO
        zlib:                    YES
    Plugins:
        apps:                    YES
        cgroup Network Tracking: YES
        CUPS:                    YES
        EBPF:                    YES
        IPMI:                    YES
        NFACCT:                  YES
        perf:                    YES
        slabinfo:                YES
        Xen:                     NO
        Xen VBD Error Tracking:  NO
    Exporters:
        AWS Kinesis:             NO
        GCP PubSub:              NO
        MongoDB:                 NO
        Prometheus Remote Write: YES
    Debug/Developer Features:
        Trace Allocations:       NO
    

    Additional info

    Verified on community forum by Shyam Shyam Sreevalsan netdata team

    bug area/collectors collectors/go.d 
    opened by rodrigobuch 4
  • Match number of dims returned from /info endpoint.

    Match number of dims returned from /info endpoint.

    Summary

    Change the way we are reporting active dimensions, ie. dimensions that we are training and predicting. This should match the number of charts/dimensions we are reporting from the /info endpoint.

    Test Plan

    CI + testing on staging (where we have containers come & go, leaving "stale" dimensions/charts for a while.

    area/ml 
    opened by vkalintiris 5
  • [Feat]: Add more information regarding claiming errors

    [Feat]: Add more information regarding claiming errors

    Problem

    It seems that there are cases when the process of claiming a node to the Cloud fails and not much information is returned back to the user. For instance the following error response:

    Response from server:
    HTTP/1.1 302 Found
    content-length: 0
    location: https://api.netdata.cloud:443/api/v1/spaces/nodes/ec6bae6a-6427-11ed-8ee6-8dd857e59afb
    cache-control: no-cache
    connection: close
    
    Connection attempt 1 successful
    Failed to claim node with the following error message:"Unknown HTTP error message"
    Error key was:"None"
    
    

    It does not provide any hints at all to the user so as to try to address it, or provide extra information upon creating a support ticket to the Netdata Cloud.

    Description

    It would make sense to return all HTTP responses from the Cloud, even the unexpected ones and include the HTTP status code along with (at least a portion of) the response body (if exists). This could help investigations and maybe give a bit more clarity to the user enabling him to retry by performing some changes from his side, for example the user could think about configuring some firewall and retrying.

    Importance

    really want

    Value proposition

    1. Better understanding of what went wrong and if the error returned is a about a user/Agent-related issue or a Cloud-related issue.
    2. The User will probably provide better info to Cloud support tickets when including this extra piece of information making his support more efficient.

    Proposed implementation

    Probably a response like the following one could be more informative.

    Failed to claim node. Received unexpected HTTP Status Code: {{status_code}} with response body: {{first_N_chars_of_response_body}}
    
    feature request needs triage 
    opened by papazach 0
Releases(v1.36.1)
  • v1.36.1(Aug 15, 2022)

    Release v1.36.1

    Netdata v1.36.1 is a patch release to address two issues discovered since v1.36.0. Refer to the v.1.36.0 release notes for the full scope of that release.

    The v1.36.1 patch release fixes the following:

    • An issue that could cause agents running on 32bit distributions to crash during data exchange with the cloud (PR #13511).
    • An issue with the handling of the Go plugin in the installer code that prevented the new WireGuard collector from working without user intervention (PR # 13507).

    Support options

    As we grow, we stay committed to providing the best support ever seen from an open-source solution. Should you encounter an issue with any of the changes made in this release or any feature in the Netdata Agent, feel free to contact us through one of the following channels:

    • Netdata Learn: Find documentation, guides, and reference material for monitoring and troubleshooting your systems with Netdata.
    • Github Issues: Make use of the Netdata repository to report bugs or open a new feature request.
    • Github Discussions: Join the conversation around the Netdata development process and be a part of it.
    • Community Forums: Visit the Community Forums and contribute to the collaborative knowledge base.
    • Discord: Jump into the Netdata Discord and hangout with like-minded sysadmins, DevOps, SREs and other troubleshooters. More than 1100 engineers are already using it!
    Source code(tar.gz)
    Source code(zip)
    netdata-aarch64-latest.gz.run(44.11 MB)
    netdata-aarch64-v1.36.1.gz.run(44.11 MB)
    netdata-armv7l-latest.gz.run(47.37 MB)
    netdata-armv7l-v1.36.1.gz.run(47.37 MB)
    netdata-latest.gz.run(52.39 MB)
    netdata-latest.tar.gz(23.64 MB)
    netdata-ppc64le-latest.gz.run(43.59 MB)
    netdata-ppc64le-v1.36.1.gz.run(43.59 MB)
    netdata-v1.36.1.gz.run(52.39 MB)
    netdata-v1.36.1.tar.gz(23.64 MB)
    netdata-x86_64-latest.gz.run(52.39 MB)
    netdata-x86_64-v1.36.1.gz.run(52.39 MB)
    sha256sums.txt(1.20 KB)
  • v1.36.0(Aug 10, 2022)

    Release v1.36

    Table of contents

    ❗ We're keeping our codebase healthy by removing features that are end of life. Read the deprecation notice to check if you are affected.

    Netdata open-source growth

    • 7.6M+ troubleshooters monitor with Netdata
    • 1.6M unique nodes currently live
    • 3.3k+ new nodes per day
    • Over 557M Docker pulls all-time total
    • Over 60,000 stargazers on GitHub

    Release highlights

    Metric correlations

    New metric correlation algorithm (tech preview)

    The Agent's default algorithm to run a metric correlations job (ks2) is based on Kolmogorov-Smirnov test. In this release, we also included the Volume algorithm, which is an heuristic algorithm based on the percentage change in averages between the highlighted window and a baseline, where various edge cases are sensibly controlled. You can explore our implementation in the Agent's source code

    This algorithm is almost 73 times faster than the default algorithm (named ks2) with near the same accuracy. Give it a try by enabling it by default in your netdata.conf.

    [global]
       # enable metric correlations = yes
       metric correlations method = volume
    
    

    Cooperation of the Metric Correlations (MC) component with the Anomaly Advisor

    The Anomaly Advisor feature lets you quickly surface potentially anomalous metrics and charts related to a particular highlight window of interest. When the Agent trains its internal Machine Learning models, it produces an Anomaly Rate for each metric.

    With this release, Netdata can now perform Metric Correlation jobs based on these Anomalous Rate values for your metrics.

    Metric correlations dashboard

    In the past, you used to run MC jobs from the Node's dashboard with all the settings predefined. Now, Netdata gives you some extra functionality to run an MC job for a window of interest with the following options:

    1. To run an MC job on both Metrics and their Anomaly Rate
    2. To change the aggregation method of datapoints for the metrics.
    3. To choose between different algorithms

    All this from the same, single dashboard.

    Image

    What's next with Metric Correlations

    Troubleshooting complicated infrastructures can get increasingly hard, but Netdata wants to continually provide you with the best troubleshooting experience. On that note, here are some next logical steps for for our Metric Correlations feature, planned for upcoming releases:

    1. Enriching the Agent with more Metric Correlation algorithms.
    2. Making the Metric Correlation component run seamless (you can explore the /weights endpoint in the Agent's API; this is a WIP).
    3. Giving you the ability to run Metric Correlation Jobs across multiple nodes.

    Be on the lookout for these upgrades and feel free to reach us in our channels with your ideas.

    Tiering, providing almost unlimited metrics for your nodes

    Netdata is a high fidelity monitoring solution. That comes with a cost, the cost of keeping those data in your disks. To help remedy this cost issue, Netdata introduces with this release the Tiering mechanism for the Agent's time-series database (dbengine).

    Tiering is the mechanism of providing multiple tiers of data with different granularity on metrics by doing the following:

    1. Downsampling the data into lower resolution data.
    2. Keeping statistical information about the metrics to recreate the original* metrics.

    Visit the Tiering in a nutshell section in our docs to understand the maximum potential of this feature. Also, don't hesitate to enable this feature to change the retention of your metrics

    Note: *Of course the metric may vary; you can just recreate the exact time series without taking into consideration other parameters.

    Kubernetes

    A Kubernetes Cluster can easily have hundreds (or even thousands) of pods running containers. Netdata is now able to provide you with an overview of the workloads and the nodes of your Cluster. Explore the full capabilities of the k8s_state module

    Anomaly Rate on every chart

    In a previous release, we introduced unsupervised ML & Anomaly Detection in Netdata with Anomaly Advisor. With this next step, we’re bringing anomaly rates to every chart in Netdata Cloud. Anomaly information is no longer limited to the Anomalies tab and will be accessible to you from the Overview and Single Node view tabs as well. We hope this will make your troubleshooting journey easier, as you will have the anomaly rates for any metric available with a single click, whichever metric or chart you happen to be exploring at that instant.

    If you are looking at a particular metric in the overview or single node dashboard and are wondering if the metric was truly anomalous or not, you can now confirm or disprove that feeling by clicking on the anomaly icon and expanding the anomaly rate view. Anomaly rates are calculated per second based on ML models that are trained every hour.

    Metrics Dashboard Anomaly

    For more details please check our blog post and video walkthrough.

    Centralized Admin Interface & Bulk deletion of offline nodes

    We've listened and understood the your pain around Space and War Room settings in Netdata Cloud. In response, we have simplified and organized these settings into a Centralized Administration Interface!

    In a single place, you're now able to access and change attributes around:

    • Space
    • War Rooms
    • Nodes
    • Users
    • Notifications
    • Bookmarks

    CAI_full

    Along with this change, the deletion of individual offline nodes has been greatly improved. You can now access the Space settings, and on Nodes within which it is possible to filter all Offline nodes, you can now mass select and bulk delete them.

    Agent and Cloud chart metadata syncing

    On this release, we are doing a major improvement on our chart metadata syncing protocol. We moved from a very granular message exchange at chart dimension level to a higher level at context.

    This approach will allow us to decrease the complexity and points of failure on this flow, since we reduced the number of events being exchanged and scenarios that need to be dealt with. We will continuously fix complex and hard-to-track existing bugs and any potential unknown ones.

    This will also bring a lot of benefits to data transfer between Agents to Cloud, since we reduced the number of messages being transmitted.

    To sum up these changes:

    1. The traffic between Netdata cloud and Agents is reduced significantly.
    2. Netdata Cloud scales smoother with hundreds of nodes.
    3. Netdata Cloud is aware of charts and nodes metadata.

    Visualization improvements

    Composite chart enhancements

    We have restructured composite charts into a more natural presentation. You can now read composite charts as if reading a simple sentence, and make better sense of how and what queries are being triggered.

    In addition to this, we've added additional control over time aggregations. You can now instruct the agent nodes on what type of aggregation you want to apply when multiple points are grouped into a single one.

    The options available are: min, max, average, sum, incremental sum (delta), standard deviation, coefficient of variation, media, exponential weighted moving average and double exponential smoothing.

    s8ViedR

    Theme restyling

    We've also put some effort to improve our light and dark themes. The focus was put on:

    • optimizing space for the information that is crucial to you when you're exploring and/or troubleshooting your nodes.
    • improving contrast ratios so that the components and data that are more relevant don't get lost among other noise.

    image

    Labels on every chart

    Most of the time, you will group metrics by their dimension or their instance, but there are some benefits to other groupings. So, you can now group them by logical representations.

    For instance, you can represent the traffic in your network interfaces by their interface type, virtual or physical.

    Group By Options

    This is still a work in progress, but you can explore the newly added labels on the following areas/charts:

    • Disks
    • Mountpoints in your system
    • Network interfaces both wired and wireless
    • MD arrays
    • Power supply units
    • Filesystem (like BTRFS)

    Acknowledgments

    We would like to thank our dedicated, talented contributors that make up this amazing community. The time and expertise that you volunteer is essential to our success. We thank you and look forward to continue to grow together to build a remarkable product.

    • @didier13150 for fixing boolean value for ProtectControlGroups in the systemd unit file.
    • @kklionz for fixing a base64_encode bug in Exporting Engine.
    • @kralewitz for fix parsing multiple values in nginx upstream_response_time in go.d/web_log.
    • @mhkarimi1383 for adding an alternative way to get ansible plays to Ansible quickstart.
    • @tnyeanderson for fixing netdata-updater.sh sha256sum on BSDs.
    • @xkisu for fixing cgroup name detection for docker containers in containerd cgroup.
    • @boxjan for adding Chrony collector.

    Contributions

    Collectors

    New

    ⚙️ Enhancing our collectors to collect all the data you need.

    • Add PgBouncer collector (go.d/pgbouncer) (#748, @ilyam8)
    • Add WireGuard collector (go.d/wireguard) (#744, @ilyam8)
    • Add PostgresSQL collector (go.d/postgres) (#718, @ilyam8)
    • Add Chrony collector (go.d/chrony) (#678, @boxjan)
    • Add Kubernetes State collector (go.d/k8s_state) (#673, @ilyam8)

    Improvements

    ⚙️ Enhancing our collectors to collect all the data you need.

    Show 20 more contributions
    • Add WireGuard description and icon to dashboard info (#13483, @ilyam8)
    • Resolve nomad containers name (cgroups.plugin) (#13481, @ilyam8)
    • Update postgres dashboard info (#13474, @ilyam8)
    • Improve Chrony dashboard info (#13371, @ilyam8)
    • Improve config file parsing error message (python.d) (#13363, @ilyam8)
    • Rename the chart of real memory usage in FreeBSD (freebsd.plugin) (#13271, @vlvkobal)
    • Add fstype label to disk charts (diskspace.plugin) (#13245, @vlvkobal)
    • Add support for loadin modules from user plugin directories (python.d) (#13214, @ilyam8)
    • Add user plugin dirs to environment variables (#13203, @vlvkobal)
    • Add second data collection job that tries to read from '/var/lib/smartmontools/' (python.d/smartd) (#13188, @ilyam8)
    • Add type label for network interfaces (proc.plugin) (#13187, @vlvkobal)
    • Add k8s_state dashboard_info (#13181, @ilyam8)
    • Add dimension per physical link state to the "Interface Physical Link State" chart (proc.plugin) (#13176, @ilyam8)
    • Add dimension per operational state to the "Interface Operational State" chart (proc.plugin) (#13167, @ilyam8)
    • Add dimension per duplex state to the "Interface Duplex State" chart (proc.plugin) (#13165, @ilyam8)
    • Add cargo/rustc/bazel/buck to apps_groups.conf (apps.plugin) (#13143, @vkalintiris)
    • Add Memory Available chart to FreeBSD (freebsd.plugin) (#13140, @MrZammler)
    • Add a separate thread for slow mountpoints in the diskspace plugin (diskspace.plugin) (#13067, @vlvkobal)
    • Add simple dimension algorithm guess logic when algorithm is not set (go.d/snmp) (#737, @ilyam8)
    • Add common stub_status locations (go.d/nginx) (#702, @cpipilas)

    Bug fixes

    🐞 Improving our collectors one bug fix at a time.

    Show 17 more contributions
    • Fix cgroup name detection for docker containers in containerd cgroup (cgroups.plugin) (#13470, @xkisu)
    • Fix not handling log rotation (python.d/smartd) (#13460, @ilyam8)
    • Fix kubepods patterns to filter pods when using Kind cluster (cgroups.plugin) (#13324, @ilyam8)
    • Fix 'zmstat*' pattern to exclude zoneminder scripts (apps.plugin) (#13314, @ilyam8)
    • Fix kubepods name resolution in a kind cluster (cgroups.plugin) (#13302, @ilyam8)
    • Fix extensive error logging (cgroups.plugin) (#13274, @vlvkobal)
    • Fix qemu VMs and LXC containers name resolution (cgroups.plugin) (#13220, @ilyam8)
    • Fix duplicate mountinfo (proc.plugin) (#13215, @ktsaou)
    • Fix removing netdev chart labels (cgroups.plugin) (#13200, @vlvkobal)
    • Fix wired/cached/avail memory calculation on FreeBSD with ZFS (freebsd.plugin) (#13183, @ilyam8)
    • Fix import collection for py3.10+ (python.d) (#13136, @ilyam8)
    • Fix not setting connection timeout for pymongo4+ (python.d/mongodb) (#13135, @ilyam8)
    • Fix not handling slow setting spec.NodeName for Pods (go.d/k8s_state) (#717, @ilyam8)
    • Fix empty charts when ServerMPM is prefork (#715, @ilyam8)
    • Fix parsing multiple values in nginx upstream_response_time (go.d/web_log) (#711, @kralewitz)
    • Fix collecting metrics for Nodes with dots in name (go.d/k8s_state) (#710, @ilyam8)
    • Fix adding dimensions to User CPU Time chart at runtime (go.d/mysql) (#689, @ilyam8)

    eBPF

    Exporting

    Show 6 more contributions

    Documentation

    📄 Keeping our documentation healthy together with our awesome community.

    Show 23 more contributions

    Packaging / Installation

    📦 "Handle with care" - Just like handling physical packages, we put in a lot of care and effort to publish beautiful software packages.

    Show 25 more contributions
    • Update go.d.plugin version to v0.34.0 (#13484, @ilyam8)
    • Fix netdata-updater.sh sha256sum on BSDs (#13391, @tnyeanderson)
    • Add Oracle Linux 9 to officially supported platforms (#13367, @Ferroin)
    • Vendor Judy (#13362, @underhood)
    • Add additional Docker image build with debug info included (#13359, @Ferroin)
    • Fix not respecting CFLAGS arg when building Docker image (#13340, @ilyam8)
    • Remove python-mysql from install-required-packages.sh (#13288, @ilyam8)
    • Remove obsolete --use-system-lws option from netdata-installer.sh help (#13272, @Dim-P)
    • Fix issues with DEB postinstall script (#13252, @Ferroin)
    • Don’t pull in GCC for build if Clang is already present. (#13244, @Ferroin)
    • Upload packages to new self-hosted repository infrastructure (#13240, @Ferroin)
    • Bump repoconfig package version used in kickstart.sh (#13235, @Ferroin)
    • Properly handle interactivity in the updater code (#13209, @Ferroin)
    • Don’t use realpath to find kickstart source path (#13208, @Ferroin)
    • Ensure tmpdir is set for every function that uses it (#13206, @Ferroin)
    • Add netdata user to secondary group in RPM package (#13197, @iigorkarpov)
    • Remove a call to 'cleanup_old_netdata_updater()' because it is no longer exists (#13189, @ilyam8)
    • Don’t manipulate positional parameters in DEB postinst script (#13169, @Ferroin)
    • Add CAP_SYS_RAWIO to Netdata's systemd unit CapabilityBoundingSet (#13154, @ilyam8)
    • Add netdata user to secondary group in DEB package (#13109, @iigorkarpov)
    • Fix updating when using --force-update and new version of the updater script is available (#13104, @ilyam8)
    • Remove unnecessary ‘cleanup’ code (#13103, @Ferroin)
    • Remove official support for Debian 9. (#13065, @Ferroin)
    • Add openSUSE Leap 15.4 to CI and package builds. (#12270, @Ferroin)
    • Fix boolean value for ProtectControlGroups in the systemd unit file (#11281, @didier13150)

    Other Notable Changes

    Improvements

    ⚙️ Greasing the gears to smoothen your experience with Netdata.

    Show 19 more contributions

    Bug fixes

    🐞 Increasing Netdata's reliability one bug fix at a time.

    Show 16 more contributions

    Code organization

    🏋️ Changes to keep our code base in good shape.

    Show 49 more contributions

    Deprecation notice

    The following items will be removed in our next minor release (v1.37.0):

    Patch releases (if any) will not be affected.

    | Component | Type | Will be replaced by | |----------------------------------------------------------------------------------------------------------|:---------:|:------------------------------------------------------------------------------------:| | python.d/postgres | collector | go.d/postgres |

    All the deprecated components will be moved to the netdata/community repository.

    Deprecated in this release

    In accordance with our previous deprecation notice, the following items have been removed in this release:

    | Component | Type | Replaced by | |------------------------------------------------------------------------------------------------------------------------|:---------:|:--------------------------------------------------------------------------------------------------------:| | python.d/chrony | collector | go.d/chrony | | python.d/ovpn_status_log | collector | go.d/openvpn_status_log |

    Netdata Release Meetup

    Join the Netdata team on the 11th of August for the Netdata Agent Release Meetup, which will be held on the Netdata Discord.

    Together we’ll cover:

    • Release Highlights
    • Acknowledgements
    • Q&A with the community

    RSVP now

    We look forward to meeting you.

    Support options

    As we grow, we stay committed to providing the best support ever seen from an open-source solution. Should you encounter an issue with any of the changes made in this release or any feature in the Netdata Agent, feel free to contact us through one of the following channels:

    • Netdata Learn: Find documentation, guides, and reference material for monitoring and troubleshooting your systems with Netdata.
    • Github Issues: Make use of the Netdata repository to report bugs or open a new feature request.
    • Github Discussions: Join the conversation around the Netdata development process and be a part of it.
    • Community Forums: Visit the Community Forums and contribute to the collaborative knowledge base.
    • Discord: Jump into the Netdata Discord and hangout with like-minded sysadmins, DevOps, SREs and other troubleshooters. More than 1100 engineers are already using it!
    Source code(tar.gz)
    Source code(zip)
    netdata-aarch64-latest.gz.run(44.12 MB)
    netdata-aarch64-v1.36.0.gz.run(44.12 MB)
    netdata-armv7l-latest.gz.run(47.37 MB)
    netdata-armv7l-v1.36.0.gz.run(47.37 MB)
    netdata-latest.gz.run(52.39 MB)
    netdata-latest.tar.gz(23.64 MB)
    netdata-ppc64le-latest.gz.run(43.59 MB)
    netdata-ppc64le-v1.36.0.gz.run(43.59 MB)
    netdata-v1.36.0.gz.run(52.39 MB)
    netdata-v1.36.0.tar.gz(23.64 MB)
    netdata-x86_64-latest.gz.run(52.39 MB)
    netdata-x86_64-v1.36.0.gz.run(52.39 MB)
    sha256sums.txt(1.20 KB)
  • v1.35.1(Jun 10, 2022)

    Netdata v1.35.1 is a patch release to address issues discovered since v1.35.0. Refer to the v.1.35.0 release notes for the full scope of that release.

    The v1.35.1 patch release fixes an issue in the static build installation code that causes automatic updates to be unintentionally disabled when updating static installs.

    If you have installed Netdata using a static build since 2022-03-22 and you did not explicitly disable automatic updates, you are probably affected by this bug.

    For more details, including info on how to re-enable automatic updates if you are affected, refer to this Github issue.

    Support options

    As we grow, we stay committed to providing the best support ever seen from an open-source solution. Should you encounter an issue with any of the changes made in this release or any feature in the Netdata Agent, feel free to contact us through one of the following channels:

    • Netdata Learn: Find documentation, guides, and reference material for monitoring and troubleshooting your systems with Netdata.
    • Github Issues: Make use of the Netdata repository to report bugs or open a new feature request.
    • Github Discussions: Join the conversation around the Netdata development process and be a part of it.
    • Community Forums: Visit the Community Forums and contribute to the collaborative knowledge base.
    • Discord: Jump into the Netdata Discord and hangout with like-minded sysadmins, DevOps, SREs and other troubleshooters. More than 1100 engineers are already using it!
    Source code(tar.gz)
    Source code(zip)
    netdata-aarch64-latest.gz.run(34.96 MB)
    netdata-aarch64-v1.35.1.gz.run(34.96 MB)
    netdata-armv7l-latest.gz.run(37.66 MB)
    netdata-armv7l-v1.35.1.gz.run(37.66 MB)
    netdata-latest.gz.run(42.34 MB)
    netdata-latest.tar.gz(21.30 MB)
    netdata-ppc64le-latest.gz.run(34.62 MB)
    netdata-ppc64le-v1.35.1.gz.run(34.62 MB)
    netdata-v1.35.1.gz.run(42.34 MB)
    netdata-v1.35.1.tar.gz(21.30 MB)
    netdata-x86_64-latest.gz.run(42.34 MB)
    netdata-x86_64-v1.35.1.gz.run(42.34 MB)
    sha256sums.txt(1.11 KB)
Owner
netdata
netdata
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