node_exporter
Grafana
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node_exporter | Grafana | |
---|---|---|
78 | 378 | |
10,231 | 60,196 | |
2.5% | 1.3% | |
8.9 | 10.0 | |
4 days ago | 6 days ago | |
Go | TypeScript | |
Apache License 2.0 | 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.
node_exporter
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Prometheus Fundamentals (Lesson-01)
$ wget https://github.com/prometheus/node_exporter/releases/download/v1.7.0/node_exporter-1.7.0.linux-amd64.tar.gz $ tar -xzvf node_exporter-1.7.0.linux-amd64.tar.gz
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List of your reverse proxied services
Node Exporter
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Best way to monitor disk space, RAM in remote servers and get alerts when full?
The Prometheus node_exporter can provide this information, doesn't require root. You could run it as a systemd user unit if you don't have root.
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Best Course/Learning Path for mastering Prometheus and Grafana
I personally find it best to learn through experimentation. Start with reading a bit about Prometheus and Grafana through their docs, and then familiarise yourself with setting up a local Prometheus + Grafana instance either locally or with docker using docker-compose, along with something to generate /metrics endpoint for Prometheus to scrape from such as a custom Prometheus exporter in Python or using Node Exporter.
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Linux Traffic Monitoring
Your best bet might be to fork node_exporter to get you more verbose socket stats: https://github.com/prometheus/node_exporter/blob/master/collector/sockstat_linux.go
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Tool to monitor disk space
I use Grafana + Prometheus + Node Exporter.
- Is there a dashboard of sorts that can keep track of my linux-based computers and VMs to that I can easily see if any of them have updates or are running low on storage and et cetera?
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Would SNMP present less of a load than SSH to get interface metrics from older cisco 3K series switches?
Crazy idea, can't NX devices run Docker? I wonder if the node_exporter would work.
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Questions about Kubernetes
Kubernetes itself will not notify you, the way I've seen people do this, is to use something like kube-state-metrics or node_exporter, export that to Prometheus (or preferrably VictoriaMetrics because Prometheus is terrible IMO), and then setup alarms on that with alertmanager or equivalent, or just look at dashboards regularly with Grafana. Realistically I recommend only setting alerts on disk usage and application/database latency. CPU and memory utilization isn't a great metric to alert on a lot of the time.
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How to log system usage: RAM, CPU, over a long time to detect which component is slowing down?
You may setup node exporter and collect metrics with prometheus for example. Its not quite "simple" way, but still you may find it useful.
Grafana
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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.
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Teach Yourself Programming in Ten Years (1998)
I completely agree but do feel it needs qualifying. The problems beginners run into aren't usually the same as the problems experienced devs run into when adopting a language new to them, but where I see the two overlap I know something is a serious hazard in a language.
Java as a first language: won't like the boilerplate but won't have any point of comparison anyway, will get a few NPEs, might use threads and get data races but won't experience memory unsafety.
Go as a first language: much less boilerplate, but will still get nil panics, will be encouraged to use goroutines because every tutorial shows off how "easy" they are, will get data races with full blown memory unsafety immediately.
Rust as a first language: `None` // no examples found
I think Go as a beginner language would be better if people were discouraged from using goroutines instead of actively encouraged (the myth of "CSP solves everything"), otherwise I think it needs much better tooling to save people from walking off a cliff with their goroutines. And no, -race clearly isn't it, especially not for a beginner.
And in one respect I've found Go more of a hazard for experienced devs than beginners: the function signature of append() gives you the intuition of a functional programming append that never modifies the original slice. This has literally resulted in CVEs[1] even by experienced devs, especially combined with goroutines. Beginners won't have an intuition for this and will hopefully check the documentation instead of assuming.
[1] https://github.com/grafana/grafana/security/advisories/GHSA-...
What are some alternatives?
cadvisor - Analyzes resource usage and performance characteristics of running containers.
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
process-exporter - Prometheus exporter that mines /proc to report on selected processes
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
Netdata - The open-source observability platform everyone needs
Heimdall - An Application dashboard and launcher
ping_exporter - Prometheus exporter for ICMP echo requests using https://github.com/digineo/go-ping
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
fortigate_exporter - Prometheus exporter for Fortigate firewalls
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.
windows_exporter - Prometheus exporter for Windows machines
uptime-kuma - A fancy self-hosted monitoring tool