Staggering efficiencies

The more you understand your databases, the better decisions you can make. Sixta gives you a level of detail about your databases that’s hard to achieve by hand. It reads query patterns, topology and telemetry continuously, and presents them as a single narrative when something goes wrong.

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What Sixta looks like for your team

Sixta’s advantage isn’t that it knows more than your best DBRE, it’s that it can run the entire investigation pattern in minutes, across far more metrics and history than a human can reasonably scan at 3am.

Typical manual investigation

A senior DBRE or DBA checks dashboards, slow query logs, deploy history, pg_stat_statements and EXPLAIN plans, step by step. It’s the same investigation they’ve done many times before.

With Sixta on the team

Sixta detects the latency anomaly, traces it to a query plan regression after ANALYZE, rules out connection pool, locks and disk I/O, and recommends a covering index with full root-cause analysis posted into Slack. Your engineer reviews the fix, approves it or schedules it into the next change window.

One incident, two timelines

A representative Aurora MySQL latency incident, measured from onset.

What it means for you

Financially

Less downtime, less firefighting, fewer all-nighters. The cost each avoided outage saves speaks for itself.

Operationally

Lowers burnout risk across your DBREs and DBAs, reducing the cost of churn.

Strategically

Frees those engineers to work on the projects that move the business forward.

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.