Collectd
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Collectd | Grafana | |
---|---|---|
7 | 379 | |
2,982 | 60,395 | |
1.1% | 1.5% | |
9.2 | 10.0 | |
10 days ago | about 11 hours ago | |
C | TypeScript | |
GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Collectd
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μMon: Stupid simple monitoring
https://collectd.org/ does the gathering (and writing to RRDTool database, if you so desire) part very well. Many plugins, easy to add more (just return one line of text)
Still need RRD viewere but that's not a huge stack
And it scales all the way to hundreds of hosts, as on top of network send/receive of stats it supports few other write formats aside from just RRD files.
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Post Mortem on Mastodon Outage with 30k users
Then you will have same problems but now you can bother manufacturer about it!
Also unless there is something horribly wrong about how often data is written, that SSD should run for ages.
We ran (for a test) consumer SSDs in busy ES cluster and they still lasted like 2 years just fine
The whole setup was a bit of overcomplicated too. RAID10 with 5+1 or 7+1 (yes Linux can do 7 drive RAID10) with hotspare woud've been entirely fine, easier, and most likely faster. You need backups anyway so ZFS doesn't give you much here, just extra CPU usage
Either way, monitoring wait per drive (easy way is to just plug collectd [1] into your monitoring stack, it is light and can monitor A TON of different metrics)
* [1]https://collectd.org/
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IT Pro Tuesday #217 - Python Frameworks, Logging Tutorial, Android Terminal & More
Collectd pulls metrics from the OS, applications, logfiles and external devices for use in monitoring systems, finding performance bottlenecks and capacity planning. hombre_sabio explains, "Collectd is a tiny daemon that gathers information from a system. It enables mechanisms to collect and observe the values in different techniques. It is an open-source monitoring tool to retrieve and manage SNMP master agents."
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PHP7.4 Installation Fail
Setting up php7.4-fpm (7.4.25-1+deb11u1) ... Job for php7.4-fpm.service failed because a fatal signal was delivered to the co ntrol process. See "systemctl status php7.4-fpm.service" and "journalctl -xe" for details. invoke-rc.d: initscript php7.4-fpm, action "start" failed. ● php7.4-fpm.service - The PHP 7.4 FastCGI Process Manager Loaded: loaded (/lib/systemd/system/php7.4-fpm.service; enabled; vendor pre set: enabled) Active: failed (Result: signal) since Mon 2021-12-27 23:53:51 GMT; 215ms ag o Docs: man:php-fpm7.4(8) Process: 2755 ExecStart=/usr/sbin/php-fpm7.4 --nodaemonize --fpm-config /etc /php/7.4/fpm/php-fpm.conf (code=killed, signal=ILL) Process: 2756 ExecStopPost=/usr/lib/php/php-fpm-socket-helper remove /run/ph p/php-fpm.sock /etc/php/7.4/fpm/pool.d/www.conf 74 (code=exited, status=0/SUCCES S) Main PID: 2755 (code=killed, signal=ILL) CPU: 281ms Dec 27 23:53:51 raspberrypi systemd[1]: Starting The PHP 7.4 FastCGI Process Man ager... Dec 27 23:53:51 raspberrypi systemd[1]: php7.4-fpm.service: Main process exited, code=killed, status=4/ILL Dec 27 23:53:51 raspberrypi systemd[1]: php7.4-fpm.service: Failed with result ' signal'. Dec 27 23:53:51 raspberrypi systemd[1]: Failed to start The PHP 7.4 FastCGI Proc ess Manager. dpkg: error processing package php7.4-fpm (--configure): installed php7.4-fpm package post-installation script subprocess returned error exit status 1 Setting up collectd (5.12.0-7.1) ... Job for collectd.service failed because a fatal signal was delivered to the cont rol process. See "systemctl status collectd.service" and "journalctl -xe" for details. invoke-rc.d: initscript collectd, action "restart" failed. ● collectd.service - Statistics collection and monitoring daemon Loaded: loaded (/lib/systemd/system/collectd.service; enabled; vendor prese t: enabled) Active: activating (auto-restart) (Result: signal) since Mon 2021-12-27 23: 53:52 GMT; 200ms ago Docs: man:collectd(1) man:collectd.conf(5) https://collectd.org Process: 2768 ExecStartPre=/usr/sbin/collectd -t (code=killed, signal=SEGV) CPU: 24ms dpkg: error processing package collectd (--configure): installed collectd package post-installation script subprocess returned error e xit status 1 dpkg: dependency problems prevent configuration of openmediavault: openmediavault depends on collectd; however: Package collectd is not configured yet. dpkg: error processing package openmediavault (--configure): dependency problems - leaving unconfigured Errors were encountered while processing: php7.4-fpm collectd openmediavault E: Sub-process /usr/bin/dpkg returned an error code (1)
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CPU Performance of a docker minecraft java server on Raspberry Pi 4
For metrics storage I'm using a Graphite database and the graph UI itself is Grafana. To get these I'm using the Debian repos they supply with mostly off-the-shelf configs. For collecting metrics from the Pi to send to Graphite I use collectd. It has a lot of off-the-shelf plugins you can use to grab metrics like CPU usage & load average, network in/out, memory stats etc. The Minecraft-specific stuff you can get from configuring collectd plugins as well, like the tick lag graph I use the "tail" plugin to follow and parse the server log.
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Lightweight alternative to Grafana
For monitoring, personally I use collectd and Collectd Graph Panel (sadly the latter is abandoned, but it still works fine)
Grafana
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Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.
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Monitoring, Observability, and Telemetry Explained
Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
- Grafana: Open and composable observability and data visualization platform
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The Mechanics of Silicon Valley Pump and Dump Schemes
Grafana
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Reverse engineering the Grafana API to get the data from a dashboard
Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.
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Building an Observability Stack with Docker
So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:
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How to collect metrics from node.js applications in PM2 with exporting to Prometheus
In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:
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Root Cause Chronicles: Quivering Queue
Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.
What are some alternatives?
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
prometheus - The Prometheus monitoring system and time series database.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
Collectl - Extending collectl to send process data to graphite
Heimdall - An Application dashboard and launcher
Statsd - Daemon for easy but powerful stats aggregation
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
Diamond - Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.
Thingspeak - ThingSpeak is an open source “Internet of Things” application and API to store and retrieve data from things using HTTP over the Internet or via a Local Area Network. With ThingSpeak, you can create sensor logging applications, location tracking applications, and a social network of things with status updates.
Ganglia - Ganglia Web Frontend
uptime-kuma - A fancy self-hosted monitoring tool