Grafana
uptime-kuma
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Grafana | uptime-kuma | |
---|---|---|
376 | 351 | |
59,887 | 47,825 | |
1.5% | - | |
10.0 | 9.8 | |
5 days ago | 4 days ago | |
TypeScript | JavaScript | |
GNU Affero General Public License v3.0 | MIT License |
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.
Grafana
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
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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-...
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Start your server remotely
I build the Tasmota firmware for the S31's nightly, and expose the Prometheus endpoint so I can also monitor the current used by these devices in real time with the data pushed to Grafana. I have ~30 of them in my home/homelab, and servers, appliances, sump pump, fans, etc. are all monitored by my S31 fleet.
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List of your reverse proxied services
Grafana - for dashboards and log monitoring
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PM2 module to monitoring node.js application with export to Prometheus and Grafana
In most cases, applications use the combination of Prometheus + Grafana, which allows collect data and display it in the form of graphs and also to set up alerts for changes in any metrics.
uptime-kuma
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Show HN: Free Certificate Monitoring via RSS
Uptime Kuma can also monitor certificate expiration; you can also enable it to show you how many days are left until it expires.
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6 Best Open Source Status Page Alternatives for 2024
2. Uptime Kuma
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Dockge: Clean Self-Hosted Docker Compose Manager by the Creator of Uptime Kuma
- Web terminal & live logs
I'm trying it as an alternative to Portainer and I'm loving it. It seems to fit perfectly in my flow.
Code and more info: https://github.com/louislam/uptime-kuma
(Not affiliated, just a happy user)
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What do you use for external monitoring?
FYI - Uptime Kuma supports push-based monitoring as well.
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List of your reverse proxied services
Uptime Kuma
Uptime-Kuma for Watching Services
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5 Open-Source Projects That Will Elevate Your Coding Game in 2024
⭐ Uptime-kuma on GitHub
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Monitor your Websites and Apps using Uptime Kuma
Uptime Kuma is a self-hosted monitoring service that you can use to keep track of the heath of your applications, websites, and APIs. You can configure it to watch services with different types of health checks and set up email notifications for when there are problems. Uptime Kuma also lets you design custom status pages that you can use to share public information about your service health statuses and to manage incidents.
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A simple server uptime monitor util
It's for people who owns a log of servers/computers at home and need to monitor its uptime.
For safety reason, it's impossible to expose the system to the public internet, we can only use the "push" strategy to report the up status. This tool is just for this purpose: request an URL at some interval repeatedly.
Recommended to use this with uptime-kuma ( https://github.com/louislam/uptime-kuma )
What are some alternatives?
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
Zabbix - Real-time monitoring of IT components and services, such as networks, servers, VMs, applications and the cloud.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
Heimdall - An Application dashboard and launcher
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
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.
Healthchecks - Open-source cron job and background task monitoring service, written in Python & Django
Nginx Proxy Manager - Docker container for managing Nginx proxy hosts with a simple, powerful interface
gatus - ⛑ Automated developer-oriented status page
skywalking - APM, Application Performance Monitoring System
Cachet - 🚦 The open-source status page system.
Freeboard - A damn-sexy, open source real-time dashboard builder for IOT and other web mashups. A free open-source alternative to Geckoboard.