🛠️ 2025-11-05 Tech Update Summary

🔹 Kubernetes - 7 Common Kubernetes Pitfalls (and How I Learned to Avoid Them)

The blog post “7 Common Kubernetes Pitfalls (and How I Learned to Avoid Them)” discusses common mistakes encountered when using Kubernetes and provides guidance on how to avoid them. The author shares personal experiences with these pitfalls, including not setting resource requests and limits, underestimating liveness and readiness probes, relying solely on container logs, treating development and production environments the same, leaving old resources in the cluster, diving too deep into networking too soon, and lax security practices. The post emphasizes the importance of setting resource constraints, using health probes, centralizing logs, differentiating environments, cleaning up unused resources, understanding basic networking before adding complexities, and strengthening security configurations. The author encourages learning from mistakes and suggests utilizing Kubernetes documentation and community resources for deeper understanding. 👉 Read more

🔹 Spring Boot - Spring for GraphQL 2.0.0-RC2 released

The blog post announces the release of the second Spring for GraphQL 2.0 Release Candidate. This version reintroduces the GraphQL Java 25.x baseline, which will be officially released in November, ahead of the general availability date. A new feature included in this release is support for @EntityMapping with interface types. The post also mentions that the final release is scheduled for the following month. The release notes are available on the project’s wiki, and version 2.0.0-RC2 can be accessed via the Spring repository and Maven Central. The post encourages users to ask questions on Stack Overflow using the spring-graphql tag and provides links to the project page, GitHub, issues, documentation, and Stack Overflow for further assistance. 👉 Read more

🔹 Docker - How to Use Multimodal AI Models With Docker Model Runner

The blog post titled “How to Use Multimodal AI Models With Docker Model Runner” discusses the significant advancements in AI through the development of multimodal models, which can process and generate various types of inputs like text, images, and audio. This capability allows for more interactive and versatile AI interactions beyond just text prompts. The post likely explores how to efficiently deploy and run these multimodal AI models using Docker Model Runner, emphasizing the ease of integration and potential applications. The use of Docker Model Runner simplifies the process of managing and deploying complex AI models, making it more accessible for developers to leverage the full potential of multimodal AI. 👉 Read more

🔹 Java - Integrity by Default

The blog post discusses the advancements in the Java Platform aimed at enhancing performance, portability, and security by ensuring that both platform and programmer-defined abstractions are robust and can locally guarantee invariants. It highlights the concept of “Integrity by Default,” where libraries may only break certain invariants if explicitly permitted by the application. The session explores the rationale and methodology behind this vision, emphasizing the importance of maintaining integrity in Java applications. 👉 Read more

🔹 Golang - The Green Tea Garbage Collector

The blog post discusses the introduction of a new experimental garbage collector called Green Tea in Go 1.25. This update aims to enhance memory management in the Go programming language. The Green Tea garbage collector is designed to improve performance and efficiency, providing developers with better tools for managing memory in their applications. The blog post likely details the benefits and functionalities of this new feature, although specific technical details would be available in the full article. 👉 Read more