Autometrics blog

A guide to get started with observability for django applications using Autometrics

A guide to set up Autometrics with applications running on Northflank

In many cases, metrics alone may suffice for effective observability.

We are thrilled to unveil the Autometrics Open Source Observability Stack, a groundbreaking suite designed to redefine the way developers monitor and manage their apps' performance and reliability.

The Autometrics Explorer has a new dashboard view including an alert timeline and high level SLO overview.

"Ask Autometrics" is a ChatGPT-powered assistant designed to streamline developers' interaction with the Autometrics documentation, making learning and troubleshooting an interactive experience.

The case for pushing metrics rather than scraping and a blueprint combining OpenTelemetry collector with Prometheus

Introducing Call Graph visualization to get better, trace-like insights simply with granular metrics.

A guide on how to use the preconfigured Grafana dashboards with Autometrics

This blog post describes our plans to get the autometrics spec to version 1.0

A tutorial how to add Autometrics to applications running on Railway to gain better perfomance insights and enable a better debugging flow

Autometrics Explorer, SLO Guide, new library features, and events

The Autometrics Explorer is a developer-friendly UI to visualize Prometheus data and quickly go from alert to misbehaving function facilitating a faster debugging feedback loop.

In this tutorial we will showcase how to debug a FastAPI application in Python using Service Level Objectives and the Autometrics Explorer.

Using Service Level Objectives as a basis for alerting can remove some of the pain points of traditional alerting, and it's easy to do when using Autometrics.

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

Service-Level Objectives can help you track and improve the reliability of your service, and Autometrics makes them easy to add.

Autometrics Github Action, meetups and events, and new library features

Explore the practical application of Autometrics in the GitArena project, enhancing actix-web with effective metrics for swift debugging and improved performance.

A subtle point about when you can add more labels without blowing up Prometheus’ database

GitHub action from Autometrics helps you review pull requests to your codebase with an observability-oriented report of the changes.

A deep dive on the PromQL queries generated by the Autometrics framework

Explaining some of the confusing inner-workings of PromQL

Introducing am and Explorer, new library features, maintainer townhall, and future discussions

Gain actionable performance insights with a developer-friendly approach to observability metrics.

Supercharge your debugging by automatically producing metrics with exemplars

How to use Autometrics and OpenTelemetry to identify performance bottlenecks and to gain deeper insights into your applications.

A New VSCode Extension for Seamless Observability Metrics from within your IDE.

Discover how Autometrics amplifies OpenTelemetry, streamlining code-level metrics collection and analysis for developers.

Autometrics now tracks your software's version and writes queries that correlate that with potential problems to help pinpoint when issues are introduced

Autometrics is an open source framework that makes it easy to track the most useful metrics and actually understand the data with automatically generated queries, alerts, and dashboards.

An observability sweet spot that balances debuggability, cost, and ease of use

Easily create useful alerts without hand-writing complex PromQL or YAML

Learn about the journey we went on to craft a good developer experience around Prometheus alerts for autometrics-instrumented projects.