Operations | Monitoring | ITSM | DevOps | Cloud

In part one of this series, we set up basic performance monitoring for our Fastify application using AppSignal and explored key performance indicators. Now that we have our monitoring foundation in place, it's time to leverage these insights to actively improve application performance. You'll learn how to detect performance regressions, find optimization opportunities, and implement custom instrumentation with OpenTelemetry.

In part one of this series, we learned how to implement batch updates and advanced inserts in Ecto to dramatically improve database performance. But implementing these optimizations is only the first step. Ensuring they continue to work effectively in production requires professional monitoring and observability. This guide will show you how to use AppSignal for Elixir to monitor your Ecto application's performance when dealing with batch data operations.

In the first two parts of this series, we introduced Angular Signals and built a reactive shopping cart. Our CartService already supports core operations like adding, removing, and clearing items, as well as computing total price and item count using computed(). All of this was done without touching RxJS, subscriptions, or change detection hacks. But a real-world cart does more than tally up numbers.