air
thanos
Our great sponsors
air | thanos | |
---|---|---|
49 | 66 | |
15,225 | 12,577 | |
- | 1.0% | |
7.9 | 9.6 | |
8 days ago | 3 days ago | |
Go | Go | |
GNU General Public License v3.0 only | Apache License 2.0 |
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.
air
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Live reloading in Go
To enable live reloading in Go we will checkout the command tool, Air - Live reload for Go apps.
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Como configurar Golang com live reload utilizando Air 🚀
☁️ Repositório do Air
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🎉 The Gowebly CLI has grown to v2.0.0
This is made possible thanks to the Air tool, which now comes with every project you create. The configuration is as follows:
- 6 🔥 Awesome Golang packages (web devs)
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The worst thing about Jenkins is that it works
At a recent job, we had slightly different containers for local dev; our backend containers (for a Go app) had Air [1] installed for live reloading, plus Delve [2] running inside the container for VS Code's debugger to connect to. We also had a frontend container for local dev, which didn't get deployed as a container, just as static files.
[1] https://github.com/cosmtrek/air
[2] https://github.com/go-delve/delve/
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Building RESTful API with Hexagonal Architecture in Go
Air is an automatic reloading tool for Go applications. It keeps an eye on code changes and automatically restarts the application, making development more efficient.
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How to start a Go project in 2023
Just to add to the list there is also https://github.com/cosmtrek/air
- Any way to graceful restart the gin http and https servers like nginx for production?
- Air – Live reload for Go apps
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Svelte frontend vs HTMX and hyperscript
Do you use anything for live reloading? This is one aspect I miss when using gomponents compared to go templates, where I had a setup using Browsersync, which immediately refreshed whenever html/css/js changed. Now, since all HTML is within Go code, I have to recompile my go program to see changes, which takes up to ~5sec (I use https://github.com/cosmtrek/air for this).
thanos
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Looking for a way to remote in to K's of raspberry pi's...
Monitoring = netdata on each RPi https://www.netdata.cloud/ binded to the vpn interface being scraped into a prometeus thaons https://thanos.io/ setup with grafana to give management the Green all is good screens (very important).
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thanos VS openobserve - a user suggested alternative
2 projects | 30 Aug 2023
- FLaNK Stack Weekly for 24 July 2023
- FLaNK Stack Weekly for 10 July 2023
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Monitoring multiple kubernetes cluster with single Prometheus operator
Sounds like you want something like Thanos
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Is anyone frustrated with anything about Prometheus?
Yes, but also no. The Prometheus ecosystem already has two FOSS time-series databases that are complementary to Prometheus itself. Thanos and Mimir. Not to mention M3db, developed at Uber, and Cortex, then ancestor of Mimir. There's a bunch of others I won't mention as it would take too long.
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Thousandeyes Pricing Model
Long term storage all depends on your needs and sophistication. I use Thanos for our system since it has an extremely flexible scaling system. But there is also Grafana Mimir. They're both similar in that they use Prometheus TSDB format as part of the underlying storage. One nice Thanos advantage is that it does do downsampling in addition to being able to store raw metric data for a long time. It will auto-select downsampled data to make requests faster.
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Monitoring many cluster k8s
You can aggregate all your clusters Prometheus metrics together with a wonderful tool called Thanos. This will allow you to use just a single Grafana instance against Thanos and using a label select which cluster you wish to see metrics from. The downside of this, is that none of the Grafana dashboards from the internet will work as-is. You'll need to customize all of them for Thanos support. The other downside is, you have a single point of failure, and (see next item) you can't customize who can access what in regards to your dev vs production data/metrics/access.
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Best unicorn monitoring system?
Depending on how you want to set things up, you can use Thanos or Mimir to create the single-pane-of-glass view of your data.
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Prometheus vs EFS: I don't know who to believe
You could look at something like Thanos and store your data in S3: https://thanos.io/
What are some alternatives?
modd - A flexible developer tool that runs processes and responds to filesystem changes
mimir - Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.
reflex - Run a command when files change
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
delve - Delve is a debugger for the Go programming language.
cortex - A horizontally scalable, highly available, multi-tenant, long term Prometheus.
gow - Missing watch mode for Go commands. Watch Go files and execute a command like "go run" or "go test"
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
reflex - 🕸️ Web apps in pure Python 🐍
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
skaffold - Easy and Repeatable Kubernetes Development
istio - Connect, secure, control, and observe services.