With a few weeks since KubeCon, folks have had time to write up takeaways, so we have a quote a few KubeCon and Kubernetes posts this week. Plus posts on AI-assisted software development, policy tools, search engines and more.
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Generative AI is suddenly a very powerful programming tool, but one that we’re all discovering how to use effectively. This article talks about LLM prompting for software development.
A summary post from the recent KubeCon event in Amsterdam. Observations around portals, the Kubernetes API, OCI, observability and more.
A good post on architectural evolution, and why one size doesn’t fit all.
An interesting post on balancing reliability with other systems constraints, using Voyager 2 (launched in 1977) as the example.
A playlist of talks from the recent Observability Day Europe, part of the recent KubeCon/CloudNativeCon event. Case studies and project deep dives.
Another KubeCon review post, this one focused on open telemetry. Covers some details on adoption, cost, telemetry and more.
An introductory post on microservices design, including 5 high level principles for anyone designing and building microservice-based systems.
A look at Kyverno, a policy engine. The post looks at integrating with Kubernetes, and a new CLI tool for testing policies locally.
Cedar is a new open source policy language and evaluation engine. Cedar enables developers to express fine-grained permissions as easy-to-understand policies enforced in their applications, and decouple access control from application logic.
Related to the above, an HTTP agent for setting and applying Cedar policies.
Quickwit is a new search engine optimised for cloud storage and subsecond queries, with schema and schemaless indexing, open telemetry built-in and multiple data sources.