Performance Prediction in Action: Building Self-Healing API Systems
We've built a production-ready system that can foresee API performance issues. But what if it could not just predict problems, but automatically prevent them with a decision engine in the mix?
The Journey to Autonomous APIs
Remember our prediction system from the last article? It's doing a great job telling us when things might go wrong. But there's still a gap between prediction and action. In many organizations, the conversation goes something like this:
Alert: High latency predicted for checkout API in 15 minutes
DevOps: frantically provisions new instances
Alert: Cache hit rate dropping...
DevOps: adjusts cache settings
Alert: Database connections spiking...
DevOps: updates connection pool
Sound familiar? While our prediction system gives us a head start, we're still in reactive mode. Let's change that by building a system that can take intelligent, automated actions.