The article outlines practical engineering steps to build a sub‑200 ms end‑to‑end real‑time data pipeline, covering latency budgeting, data ingestion with gRPC/Kafka, stream engine selection (Flink 2.x, RisingWave), state backend tuning, output sink choices, and monitoring with backpressure and OpenTelemetry.
This article explains the concepts of synchronous vs. asynchronous and blocking vs. non‑blocking I/O, outlines the five Unix I/O models, and then compares select, poll, and epoll—including their internal mechanisms, performance trade‑offs, edge‑ and level‑triggered modes, and why epoll is considered the solution to the C10K problem.
This article walks through building a fault‑tolerant Spring Boot 3.5.0 API using Resilience4j, covering circuit breaking, rate limiting, timeout handling, bulkhead isolation, and retry strategies, complete with configuration snippets, code examples, and execution‑order adjustments.
This article explains why FastAPI has become popular among Java developers, comparing its high‑performance, type‑safe, async‑first design to Spring Boot and Flask, showing benchmark results, core concepts, step‑by‑step setup, pros and cons, real‑world use cases, and a practical performance comparison.
The article explains how Java teams can replace time‑consuming manual inspection of Maven CI failures with Cursor Automations, detailing concrete use cases, rule definitions, safe‑fix scopes, and sample prompts that let AI locate, summarize, and suggest actions for CI and PR review issues while keeping developers in control.
This tutorial walks through creating a Spring Boot application that integrates the Spring AI Alibaba framework with a local Ollama model to enable function calling, covering environment setup, Maven dependencies, configuration, core code, testing, best practices, and common troubleshooting steps.
Bboss v7.5.6 adds full Easysearch 1.x/2.x compatibility, allowing existing Bboss Java projects to migrate by only changing the connection address, while the article details a five‑minute setup, three typical pitfalls (HTTPS, credentials, version), and criteria for when to adopt or skip Bboss.
Elasticsearch adds a new Columnar Mode in the 9.5 tech preview and 9.6 GA, storing data once in a columnar layout with on‑demand indexing, which cuts storage costs, speeds analytical queries, keeps the existing document mode intact, and offers a migration path for append‑only log and security workloads.
The article explains why extensive if…else chains degrade code readability, maintainability, and testability, and introduces Easy Rules—a lightweight Java rule engine that externalizes business logic into reusable rule objects, offering annotation, fluent API, expression, and YAML/JSON definitions, plus composite rules and engine configurations.
This article examines the challenges of managing user authentication across many corporate systems, explains traditional session mechanisms, explores session sharing solutions for clustered environments, and provides a detailed walkthrough of implementing single sign‑on using CAS with Java and Redis, including code samples and a comparison with OAuth2.
The Bun JavaScript runtime, originally built in Zig, was completely rewritten in Rust within 11 days using Anthropic’s Claude Fable 5, generating a million lines of code at a $165 k API cost, sparking Andrew Kelley’s criticism, community debate over stability, unsafe code blocks, and the long‑term viability of AI‑driven development.
The article demonstrates how to create a custom @BatchProcess annotation combined with AOP to aggregate high‑frequency requests into batches, persist metadata in Redis, and process them efficiently, thereby reducing connection, I/O, and CPU overhead in distributed, high‑concurrency Spring Boot 3.5.0 applications.
This article explains the fundamental differences between Spring's @Valid and @Validated annotations, demonstrates how to apply group validation, nested object checks, and custom validation annotations, and provides a complete strategy for global exception handling and production‑grade best practices.
This guide explains why pytest surpasses unittest as the most popular Python testing framework, walks through installation, writing and running tests, explores core features such as fixtures, parameterization, markers, and plugins, and demonstrates a complete API‑automation suite with advanced fixture techniques and custom plugin development.
The article explains how Java developers can treat Codex as an engineering agent that executes complete, well‑scoped Spring Boot tasks—by defining project rules, isolating work in a Git worktree, crafting detailed prompts with acceptance criteria, and reviewing changes in stages—to save repetitive development effort.
This article explains why and how to separate a system into four DDD layers—User Interface, Application, Domain, and Infrastructure—illustrates the benefits of clear responsibilities, demonstrates dependency inversion and hexagonal architecture with concrete Spring Boot examples, and warns of common pitfalls.
The article explains why repository interfaces belong in the domain layer, implementations reside in the infrastructure layer, and factories should handle complex aggregate creation, illustrating how these patterns keep domain logic pure, enable dependency inversion, and simplify testing.
The article explains why cross‑aggregate business logic belongs in domain services, how domain events capture immutable business facts, and demonstrates practical Spring Boot implementations—including in‑process publishing, message‑queue integration, and the Outbox pattern—while highlighting pitfalls and verification techniques.
The article compares anemic and rich domain models using an order‑cancellation case, showing how setters and magic numbers in services lead to rule violations, and walks through a step‑by‑step refactor that moves business rules into the domain object for better encapsulation and consistency.
The article shows how a typical three‑layer OrderService accumulates scattered business rules, mixes technical details with domain logic, lacks clear boundaries, and diverges from business language, then explains how Domain‑Driven Design reorganizes code around aggregates and bounded contexts to solve these problems while outlining when DDD is unnecessary.
