Fiberplane recently launched Autometrics Explorer, a developer-friendly UI. As the barriers between developer and operations jobs blur, the necessity for efficient observability practices increases. Autometrics Explorer provides each engineer with unique visibility into the performance of their code at the code level. Furthermore, it modifies how developers approach observability. Fiberplane created Autometrics to make observability easier.
“We aimed to craft a tool that eliminates the barrier between development and operations. With Autometrics Explorer, we offer a user-centric solution that drastically reduces the debugging loop and enriches the developer experience,” says Micha “Mies” Hernandez van Leuffen, Fiberplane’s creator and CEO.
Key characteristics of Autometrics Explorer include:
- Prometheus is pre-installed. Explorer includes the Autometrics CLI, which may launch a local Prometheus installation, allowing for a local-first observability process.
- Define Service Level Objectives in code and provide service performance indicators.
- Attach alerts to SLOs to gain actionable intelligence about problematic services and code functions.
- Rust, Python, TypeScript, and Golang are the most popular programming languages supported.
A core benefit includes automated contextual insights where users may view the call graph for any function and dig down to the offending code. Another advantage includes O-to-1 observability, a full-circle debugging toolbox that includes function analysis, Service Level Objectives that specify performance thresholds, and actionable alerts. Moreover, its intuitive visual debugging enables quick resolution.
Furthermore, Autometrics Explorer distinguishes itself by providing an unrivaled user experience, specific processes, and a strong emphasis on reducing the debugging cycle. Fiberplane dedicates itself to improving the developer experience by delivering a tailored workflow rather than a dashboard that fits all.
To download the Autometrics Explorer, users can utilize the Autometrics CLI or install it as a Docker container. Explore the blog announcement for more information. Additionally, Autometrics published a tutorial video that you can watch here:
