How it integrates
Sixta’s hand-built tools, investigations and frameworks are the result of years spent running real databases and learning how accurate diagnoses and effective fixes are actually reached.
Raw reasoning power, controlled with real world experience
That hard-won experience is used to harness a language model, whether the latest frontier model or your own (“bring your own model”, BYOM), to deliver controlled, relevant analysis and recommendations you can act on.
The databases Sixta works with
Across deployment models
Cloud-managed
AWS RDS, Aurora, Azure Database, Cloud SQL. Sixta connects directly through native protocols and cloud APIs.
Self-managed
On-prem, private cloud or sovereign. Sixta deploys alongside your databases, inside your walls.
Internal DBaaS
If your platform team runs an internal database layer as a service, Sixta integrates at that platform level, the reliability layer your application teams never see.
Monitoring and observability it integrates with
Sixta uses every tool and metric available to reach an accurate diagnosis and a sound fix. It integrates with the observability stack you already run, ingesting metrics, logs and events, and correlating them with direct database telemetry to build one combined picture that tells real incidents from noise.
Further resources
Database Observability vs Monitoring
Your database monitoring dashboard says everything is green. Your users are reporting errors. Both things are true at the same time, and the gap between them is where incidents live.
MySQL Performance at Scale
MySQL still powers a large share of the world's production databases, particularly in e-commerce, SaaS, and applications built on the LAMP stack. But the performance challenges that emerge at scale are often different from what teams expect, and the tooling to diagnose them has improved significantly in recent years.