Piotr Mińkowski is a Java expert and Cloud Native consultant sharing practical insights on Spring Boot, Kubernetes, microservices, and modern software architecture.
14 articles from this blog
Explains how to use Project Leyden, an experimental OpenJDK initiative, to speed up Spring Boot Java application startup times.
Guide to running local AI models with LM Studio and integrating them into Java applications using the Spring AI framework.
Guide to running Claude Code as a VSCode plugin on OpenShift and integrating it with AI models via vLLM for local development.
A guide on integrating Spring AI with external MCP servers for tools like GitHub and SonarQube using Docker's MCP Toolkit.
Introduces a Spring Boot library for automatically generating Istio resources on Kubernetes from Java annotations, simplifying development within the Istio service mesh.
Explains how to use Kubernetes' In-Place Pod Resize and Kube Startup CPU Boost to accelerate Java application startup by temporarily increasing CPU resources.
A guide to implementing gRPC services in Spring Boot using the new Spring gRPC project, including Protobuf definitions and code examples.
Author announces the publication of his book 'Hands-On Java with Kubernetes', explaining its motivation and content focused on Java app development for Kubernetes.
Explains how to implement API versioning using Spring Boot's built-in features for managing different REST endpoint versions.
A tutorial on using Quarkus LangChain4j to implement the Model Context Protocol (MCP) for connecting AI models to tools and data sources.
A guide to using the Arconia framework to add Quarkus-like Dev Services and observability features to Spring Boot applications.
A guide to building Quarkus application container images using Cloud Native Buildpacks and OpenShift Builds, including setup and commands.
A guide to deploying .NET applications on Red Hat OpenShift using the Source-to-Image (S2I) tool, covering setup and a sample project structure.
A tutorial on implementing AI tool calling (function calling) using the Quarkus LangChain4j extension to integrate chat models with APIs and databases.
