What Sazabi does
Most observability tools make you work for answers: know which dashboard to open, write the query, then correlate data across views. Sazabi replaces that workflow with a conversation. You send your logs to Sazabi, and then you either:- Ask. Open a thread and describe a problem in plain language. The Sazabi agent runs the queries, reads the results, and answers with the specific log lines and correlations it found.
- Get told. Sazabi watches your data and opens an issue when it detects a problem worth tracking, then notifies your team with the impact, the likely cause, and the evidence attached, not a raw threshold alert.
How it works
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Connect your data
Send logs from any language, framework, or cloud — through OpenTelemetry, a native SDK, or a direct connection to platforms such as AWS CloudWatch, Google Cloud, and Vercel. Sazabi stores and indexes your logs in managed storage so they are ready to search. See Send data.2
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In this section
Quickstart
Create a project, send your first log, and ask your first question in about
10 minutes.
How Sazabi works
The day-zero ideas: threads, the agent, log sources, issues, and
integrations.
Setup checklist
The steps that take a new project to a working investigation surface.
Where to go next
Send data
Connect log sources and get logs flowing into Sazabi.
Detect issues
How Sazabi finds problems and opens issues.
Ask Sazabi
Work in threads, use the agent’s tools, and configure the sandbox.
Ship fixes
Scan repositories and open pull requests with fixes.
Manage account
Organizations, members, access, keys, and billing.
Integrations
Every log source, integration, MCP connector, and sandbox CLI.