Opslane is a stress-reducing tool that classifies alerts as actionable or noisy, reducing alert fatigue. It operates in a Slack channel, providing contextual information for handling alerts and weekly reporting data on alert quality. The tool’s modular architecture efficiently processes alerts from Datadog, integrates seamlessly with existing tools like Slack, and utilizes Postgres for data storage. Opslane is open source, welcoming community contributions. Surprisingly, Opslane uses LLMs to classify alerts and has a flexible data model supporting multiple integrations, with current support for Datadog. Users can easily set up Opslane by cloning the repository, configuring environment variables, and running the Docker container.
https://github.com/opslane/opslane