A Java Geek weekly 71

One of the components of my OpenTelemetry demo is a Rust application built with the Axum web framework. In its description, axum mentions:

axum doesn’t have its own middleware system but instead uses tower::Service. This means axum gets timeouts, tracing, compression, authorization, and more, for free. It also enables you to share middleware with applications written using hyper or tonic.

A long history of CSS, Sass, Tailwind, and more

As we move software products using generative AI technology from proof-of-concepts into production systems, we are uncovering a range of common patterns. Evals play a central role in ensuring that these non-deterministic systems are operating within sensible boundaries. Large Language Models need enhancement to provide information beyond a generic and static training set. Most of the time we can do this with Retrieval Augmented Generation (RAG), although the basic RAG approach requires several patterns to overcome its limitations. When RAG isn’t enough, Fine Tuning becomes worthwhile.

In this blog, we’ll explore how to build a multi-tenancy platform using a self-service approach. The goal is to establish the logic behind a self-service approach while highlighting that an Internal Developer Platform (IDP) is more than just a UI and APIs — it’s about building the core functionality that powers them.

Lambda extension layers allow you to run any process alongside your code, sharing the execution runtime and providing additional services