GPUStack is an open-source tool that turns a bunch of scattered GPU machines into one managed cluster for deploying AI models behind an OpenAI-compatible API.
Have you ever needed to generate OpenAPI documentation directly from your code and, more importantly, do it in a way that fits cleanly into a CI pipeline?
Docker packages applications to ensure consistent and portable deployments. Kubernetes manages them with scaling, reliability, and automation in production.
Cache reads with Redis, use @CachePut for write-through consistency, and prevent stampedes with distributed locks, then prove it works under load with JMeter.
Spring CRUD Generator v1.1.0 bootstraps Spring Boot backends from YAML, adding validation, Redis caching fixes, OSIV control, and support for Spring Boot 3/4.
Microservices assume predictable callers. AI agents break this with non-deterministic calls, fan-out, and retries. Here are 5 core assumption breaks and fixes.
Demonstrates how to expose Spring Boot metrics with Prometheus and build Grafana dashboards to track memory usage and error rates for production-grade Java services.
Decouple heavy processing with Spring Boot, Kafka, and WebSockets: AI consumers analyze events asynchronously, while WebSockets deliver real-time insights to users.
Distributed AI systems fail faster than humans can respond, making traditional response insufficient. Self-healing systems use telemetry and automation to recover early.
Microservices add flexibility and scalability but increase complexity. Learn key challenges in observability, DevOps, and data management when moving from monoliths.
Apereo CAS is one of the largest open-source Spring Boot applications in production. Learn about seven battle-tested patterns from its codebase that will improve yours.
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