Learn how to scale AI inference workloads in Java using async and event-driven patterns, maintaining stable APIs while improving performance and resilience.
For heaps exceeding 50 GB, choose G1 for balanced stability, Shenandoah for <10ms concurrent compaction, or ZGC for terabyte-scale orchestration with <1ms pauses.
Learn how document generation APIs automate PDF and DOCX creation using templates and JSON data, with real-world use cases and a step-by-step Foxit DocGen implementation.
Discussions continue regarding MySQL's future at Oracle, the role of MariaDB in the market, and the reality of their growing divergence in the Open Source industry.
Following the Cloudflare downtime in November 2025, the article compares how different programming languages handle unexpected errors and process termination.
This article walks you through why Git repos grow, how to find and remove hidden large files, and how to optimize pack files to get your repo back into shape.
Learn all about scalable, cloud-native architectures with microservices and serverless technologies, boosting agility, performance, and cost-efficiency.
Data fetching without filters or limits is a costly, hidden bug in the backend. API parameters must flow into SQL queries, not filter after full data transfer.
Create a zero-cost AI application quickly using Ollama and Java with Spring AI — with no extra costs and full compatibility with other LLMs like OpenAI.
Explore how Task works, the differences between Task and Task.detached, task priorities — a complete guide to Swift’s modern approach to asynchronous programming.