July was packed with some awesome updates for #autometrics. Check out the recap here; https://autometrics.dev/blog/july-in-autometrics
July in Autometrics - Blog

Autometrics is a developer-first observability framework for understanding the error rate, response time, and production usage of any function in your code. Implemented in Rust, Typescript, Golang and Python. Open Telemetry and Prometheus compatible.

I wrote a thing! I dove back into
#grpcio and #protocolbuffer land and wrote a tutorial on how to add instrumentation and observability to a #rustlang application with #autometrics https://fiberplane.com/blog/adding-observability-to-rust-grpc-services-using-tonic-and-autometrics
Adding observability to Rust gRPC services using Tonic and Autometrics - Blog

Learn to boost Rust gRPC services with observability using Tonic and Autometrics. Dive into Protobufs, Rust, Tonic and creating a web component for Prometheus.

We open sourced the Autometrics CLI and Explorer for a local observability workflow. It's written in #rust and spins up a local #prometheus instance for you alongside a UI where you can explore your metrics. #Autometrics standardizes metric names and generates PromQL queries for request rate, error rate and latency so you don't have to. Function-level metrics enable you to shorten the feedback loop without the need to commit & deploy. You can find the code on GitHub: https://github.com/autometrics-dev/am
GitHub - autometrics-dev/am: Companion CLI app

Companion CLI app. Contribute to autometrics-dev/am development by creating an account on GitHub.

GitHub
#autometrics easily interfaces #rust with #prometheus