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Avoid mistakes in API design, implementation and evolution with Smithy
Most back-end projects eventually reach a point when they have to define an API. We implement their routes, document them, sometimes we write a client. We do essentially the same work multiple times - each view of an endpoint contains the same path, and yet we don't have a "single source of truth".
In this talk, I'll show how Smithy (https://smithy.io) and smithy4s enable defining an API in a single place, and how they make it easy to build its server, client, and even a CLI - in a Scala-friendly, tooling-compatible way.
Let's go through some most common patterns when it comes to integrating Scala applications with Kafka
How Libretto, a Scala DSL for concurrent programming, can be used for writing custom stream operators
Understanding the exact properties that disqualify a data type from being an instance of a given abstraction turns out to be surprisingly helpful
A short case study of a real production issue that was debugged, minimized, and fixed using property-based testing.
