gokrazy
Grafana
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gokrazy | Grafana | |
---|---|---|
19 | 378 | |
3,147 | 60,196 | |
1.3% | 1.3% | |
7.7 | 10.0 | |
6 days ago | 6 days ago | |
Go | TypeScript | |
BSD 3-clause "New" or "Revised" License | 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.
gokrazy
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Considerations for a long-running Raspberry Pi
Switching to gokrazy[0] was the best thing I did for my Raspberry Pi uptimes. I think a lot of that is because it defaults to using read-only partitions so the common issue of SD cards falling over when you run apt upgrade no longer happens.
But I also think that gokrazy's simplicity and design helps it be just a solid, reliable foundation to build on top of.
[0]: https://gokrazy.org/
- Gokrazy – Go Appliances
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Easylkb: Easy Linux Kernel Builder
The idea there sounds a lot like https://gokrazy.org/, which builds a minimal go userland, wrapping one or more user provided go applications, and bundles in a linux kernel.
Targets mostly at single board computers, and I think it downloads pre-built kernels (and bootloaters if needed), rather than trying to build them directly, since getting a working cross compilation toolchain set up and plumbed into the kernel compilation process is still a pain.
I've personally only used yocto/open-embedded for that which does nicely handle building the cross-compilation toolchain, kernel image, and modules. But it is kinda overkill for that task, being designed to build a whole userland too.
- An Overview of Nix in Practice
- Gokrazy Go (Golang) Appliances
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Writing an OS in Go: The Bootloader
reminds me of https://github.com/gokrazy/gokrazy which does similar things.
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When is go not a good choice?
https://gokrazy.org/ would like a word
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Userspace isn't slow, some kernel interfaces are
Fun! We have support for running on gokrazy (https://gokrazy.org/) already, and that's probably where Unikernel Linux is more applicable for us, for when people just want a "Tailscale appliance" image.
I'll email you.
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go-rampart: a golang package to detect overlapping periods
gokrazy exists! https://github.com/gokrazy/gokrazy
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Can you build your own user space on top of the Linux kernel?
https://github.com/gokrazy/gokrazy for one example
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?
buildroot - Buildroot, making embedded Linux easy. Note that this is not the official repository, but only a mirror. The official Git repository is at http://git.buildroot.net/buildroot/. Do not open issues or file pull requests here.
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
xbvr - Tool to organize and stream your VR porn library
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
go-jtagenum - JTAG enumeration tool written in Go. A port of https://github.com/cyphunk/JTAGenum enhanced with https://github.com/grandideastudio/jtagulator improved implementation.
Heimdall - An Application dashboard and launcher
tamago - TamaGo - ARM/RISC-V bare metal Go
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
qt - Qt binding for Go (Golang) with support for Windows / macOS / Linux / FreeBSD / Android / iOS / Sailfish OS / Raspberry Pi / AsteroidOS / Ubuntu Touch / JavaScript / WebAssembly
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.
nerves - Craft and deploy bulletproof embedded software in Elixir
uptime-kuma - A fancy self-hosted monitoring tool