
Rivaas
The Go framework for cloud services, batteries included
What it does
Rivaas is a Go web framework built for cloud services. It ships with a high-performance router, automatic OpenAPI spec generation, structured logging, OpenTelemetry metrics and tracing, request binding, validation, and config management; all working together out of the box. No wiring. No glue code. Just write your handlers and ship.
Does the same job
all alternatives →- AFA Full-Stack Web Framework for Go2022 · github.com · ▲531
Hey HN! I want to share my side project with you. It's called Bud and it's a full-stack web framework for Go. I created a short video to show you how to create a minimal Hacker News clone with Bud: https://www.youtube.com/watch?v=LoypcRqn-xA. The framework is free, open source and MIT Licensed. You can find it on Github: https://github.com/livebud/bud. I started working on Bud 2 years ago after watching the introductory Laracast videos about the Laravel web framework. I was just blown away by how productive you can be in Laravel. However, like many of you,…

- PCPorter Cloud – PaaS with an eject button2024 · ▲258
Hi HN! Porter Cloud (https://porter.run/porter-cloud) is a Platform as a Service (PaaS) like Heroku, but we make it easy for you to migrate to AWS, Azure, or GCP when you're ready. Like Heroku, Porter takes care of a lot of generic DevOps work for you (like setting up CI/CD, containerizing your applications, autoscaling, SSL certificates, setting up a reverse proxy) and lets you deploy your apps with a few clicks — saving you a lot of time while developing. However, as you probably know, there’s a downside: platforms like this become constraining if and when your app…
- K0Kafka 0.8.0 on Cloudflare Workers2022 · github.com · ▲148
- GGGoyave – Golang Web Framework2020 · github.com · ▲75
- GAGonzo – A Go-based TUI for log analysis (OpenTelemetry/OTLP support)2025 · github.com · ▲74
We built Gonzo to make log analysis faster and friendlier in the terminal. Think of it like k9s for logs — a TUI that can ingest JSON, text, or OpenTelemetry (OTLP) logs, highlight and boil up patterns, and even run AI models locally or via API to summarize logs. We’re still iterating, so ideas and contributions are welcome!
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