Mitigation and prevention

Stop failures before they happen

A query or schema migration can look correct in review and still bring a database down in production. Sixta reviews these changes where your developers already work, in their GitHub pull requests and their code editor, and catches the problem before it ships.

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A database expert on every pull request

Sixta checks migrations and statements against its rule set, MySQL online-DDL and PostgreSQL locking rules among them, and flags each issue on the pull request itself, where the team will see it.

Catch the lock before production does

Risky statements get a plain-language card showing the cost to your workload, a lock-risk verdict, and which other databases carry the same code.

Ask Sixta before you ship anything

Developers can get Sixta’s view on a query or schema change right in their editor, before the pull request is even open.

Sixta sees the real risks that reviews miss

Even AI-powered code review tools read your code in isolation, whereas Sixta understands what that code will do to your specific databases. Because it knows your environment, your volumes, load and topology, and what is normal for you, it spots changes that look fine but lock a busy table or double your costs if they go live.

SixtaSixta

Heads up on PR #482 (add-orders-status-index). CodeRabbit and Greptile both passed it, but I’ve flagged it Critical. The migration adds an index on orders(status) with a plain CREATE INDEX, which takes an exclusive lock and blocks writes on a 40M-row table: roughly 8 minutes of stalled writes in production.

DeveloperDeveloper

The other checks didn’t catch that. How do I fix it?

SixtaSixta

They review the code, I check what it does to a live database. Switch to CREATE INDEX CONCURRENTLY, outside a transaction block, and it builds without locking writes. I’ve posted the corrected migration on the PR.

    Further resources

    The Real Cost of Database Incidents

    When a database goes down, the first question is always "how do we fix it?" The question that rarely gets asked until later, sometimes much later, is "what did that actually cost us?" The answer is usually worse than anyone expected.

    How to Reduce Database MTTR

    The average database incident takes 3 to 5 hours to resolve. Best-in-class teams consistently do it in under 60 minutes. The difference almost never comes down to technical skill. It comes down to whether the investigation workflow exists before the incident does.