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CloudSherlock

CloudSherlock is an open-source troubleshooting and maintenance assistant for SREs and DevOps engineers. Built with Rust, it empowers teams to quickly gather vital information—metrics, logs, traces, OS configurations, user activity, and more—from cloud-based infrastructures.

Designed to accelerate incident response and streamline operational tasks, CloudSherlock aims to reduce downtime and improve system visibility.

Features

  • Metric Gathering: Collect key system and application metrics in real-time.
  • Log Analysis: Fetch and analyze logs from multiple sources for quick issue identification.
  • Distributed Tracing: Trace requests across distributed systems to uncover bottlenecks.
  • Configuration Inspection: Inspect OS configurations and infrastructure settings effortlessly.
  • User Activity Monitoring: Capture and analyze user activity logs for security and debugging.
  • Multi-Cloud Support: Designed to work across popular cloud providers (AWS, Azure, GCP).

Why Rust?

Rust provides a strong foundation for CloudSherlock because of its:

  • High performance: Ensures the tool is lightweight and fast.
  • Safety: Guarantees memory safety, reducing bugs in critical applications.
  • Modern tooling: Offers a robust ecosystem for building reliable systems.

Roadmap

Planned Features

  • Support for custom plugins
  • Advanced alerting and notification system
  • Seamless integration with monitoring tools (e.g., Prometheus, Grafana)
  • Multi-cloud resource inventory and drift detection

Disclaimer

CloudSherlock is in its early stages of development. Expect rapid iterations and breaking changes in future releases.

General Naming Format For GitHub Issues

[Provider] [Service/Component] - [Specific Description]

Key Components:

  1. Action: [Bug], [Feature Request], [Question], or [Task] - Pick the type of Issue: new feature, general task, or bug fix.
  2. Provider: [AWS], [Azure], [GCP], or [General] - Specifies the cloud provider or a generic component.
  3. Service/Component: Specific service (e.g., EC2, S3, VM, Compute Engine) or project component (e.g., CLI, UI).
  4. Specific Description: A brief yet descriptive title about what the issue entails.