CheckOps home

Tools directory

S

CheckOps

Sazabi

Sazabi is an AI-native observability and security platform that connects production logs with code, detects important issues without hand-built monitors, investigates root causes and feeds context to coding agents.

Visit website

Latest public signals

Not refreshed yet. Refresh reads the public site and, when the entry has a GitHub repository, the latest release.

Visit Website

Introduction

Sazabi is built for teams that ship quickly. It connects production logs with code, detects important issues without hand-built monitors, investigates root causes and sends useful context to the tools where engineers work.

You can ask questions in plain language, see what changed and let coding agents use that context to resolve production problems. Use cases include autonomous alerts, conversational debugging and coding-agent workflows.

Monitoring is the last line of a testing strategy: it catches what tests, reviews and staging missed. Wire its alerts into the same place your CI failures go, and when an incident reveals a gap, add a test or a synthetic check so the same failure is caught before release next time.

Launch and background: Y Combinator’s company directory lists Sazabi in its Spring 2026 batch, with the one-liner “AI-native observability and security platform”.

Features

  1. Autonomous issue detection: No hand-built monitors.
  2. Logs linked to code: Context for root cause.
  3. Conversational debugging: Plain-language questions.
  4. Agent context: Feeds coding agents.

Pros

  1. Clear usage allowances: Published per-cycle limits.

Cons

  1. Logs-centric: Less focus on metrics and traces.
  2. No annual discount: Billed per 30-day cycle.
  1. Follow the quickstart at docs.sazabi.com.
  2. Ship logs and connect your repository.
  3. Review surfaced issues and hand them to a coding agent.

Resources:

Pricing

Sazabi bills per 30-day cycle: Hobby, Startup and Growth plans share usage allowances (for example 20 issues surfaced then $4 per issue, 200 GB of logs ingested then $0.10/GB, 50 GB scanned then $0.10/GB and 500 AI credits then $0.01/credit), with a plan listed at $1,000 per 30 days and custom Enterprise pricing.

  1. Fast-moving teams without time to build monitors.

Conclusion

Sazabi automates the noisy work of deciding what matters in logs.

Check the per-issue pricing against your incident volume.

On CheckOps, Sazabi is filed under the Production monitoring & observability stage. Related tools listed here include Sentry, Datadog, Better Stack, Grafana Loki, Honeycomb and Rollbar. Which one fits best depends mostly on your stack, your team’s size and skills, and whether you prefer to run tools yourself or pay for a managed service. This page reflects the official website, documentation and repository as they stood on 11 November 2026.

Alternatives

Other tools on CheckOps that cover similar ground. Open a page, or compare one with Sazabi side by side.