Ray's Galactic Tech
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Ray's Galactic Tech

Practice together, never alone. We cover programming languages, development tools, learning methods, and pitfall notes. We simplify complex topics, guiding you from beginner to advanced. Weekly practical content—let's grow together!

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Recent Articles

Latest from Ray's Galactic Tech

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Ray's Galactic Tech
Ray's Galactic Tech
Jul 22, 2026 · Backend Development

From Chaos to Control: A Complete Spring Boot Logging Guide with 8 Production Scenarios

The article analyzes why logging in modern Spring Boot microservices shifts from a simple debug tool to a critical data pipeline, compares Logback and Log4j2 async setups, reveals hidden costs and risks, and walks through eight concrete production scenarios to build a controllable, high‑performance logging architecture.

KubernetesSpring Bootasynchronous logging
0 likes · 25 min read
From Chaos to Control: A Complete Spring Boot Logging Guide with 8 Production Scenarios
Ray's Galactic Tech
Ray's Galactic Tech
Jul 22, 2026 · Backend Development

Spring AI Alibaba Workflow Explained with 10 Practical AI Orchestration Cases

The article analyzes why AI applications that require branching, parallelism, retries, human‑in‑the‑loop, or long‑running tasks should adopt Spring AI Alibaba Workflow, explains its core concepts, shows when it fits or not, provides a detailed example and ten real‑world scenarios, and offers practical guidance on design, state management, error handling, persistence, and operational costs.

AI orchestrationGraphSpring AI
0 likes · 28 min read
Spring AI Alibaba Workflow Explained with 10 Practical AI Orchestration Cases
Ray's Galactic Tech
Ray's Galactic Tech
Jul 21, 2026 · Backend Development

AI Customer Service at Millions Scale: Chat API to Function Calling (SpringBoot)

The article details how a Spring Boot‑based intelligent customer service evolves from a simple chat endpoint to a robust Function Calling architecture, addressing challenges such as real‑time data access, permission checks, idempotency, error handling, token management, and scaling to tens of millions of daily conversations.

AI Customer ServiceBackend DevelopmentFunction Calling
0 likes · 27 min read
AI Customer Service at Millions Scale: Chat API to Function Calling (SpringBoot)
Ray's Galactic Tech
Ray's Galactic Tech
Jul 21, 2026 · Backend Development

14 Painful Spring Boot Cache Pitfalls and How to Build a High‑Availability Architecture

This article walks through 14 real‑world failure scenarios of Spring Boot distributed caching, explains why high cache hit rates are misleading, and provides concrete analysis, code samples, and step‑by‑step recommendations for designing a resilient cache layer that isolates faults, handles hot keys, and ensures data consistency across Redis, local caches, and databases.

Cache invalidationHigh AvailabilityKubernetes
0 likes · 37 min read
14 Painful Spring Boot Cache Pitfalls and How to Build a High‑Availability Architecture
Ray's Galactic Tech
Ray's Galactic Tech
Jul 20, 2026 · Artificial Intelligence

From Demo to Production: A Complete AI Agent Engineering Roadmap with Detailed Resources

This article analyzes why AI Agent demos often fail in production, outlines the essential runtime components such as state persistence, tool isolation, async scheduling, observability, and cost control, and provides a step‑by‑step engineering roadmap, architectural diagrams, code examples, and a practical checklist for building reliable, production‑grade AI Agents.

AI AgentLLMState Management
0 likes · 28 min read
From Demo to Production: A Complete AI Agent Engineering Roadmap with Detailed Resources
Ray's Galactic Tech
Ray's Galactic Tech
Jul 19, 2026 · Artificial Intelligence

Why the Real Production Bottleneck for AI Agents Is the Harness, Not the Model

The article explains that when AI agents move from prototype to production, failures usually stem from the execution harness—issues like multi‑step orchestration, tool integration, context overflow, and lack of observability—rather than the underlying language model itself, and it provides a concrete seven‑layer framework (ETCLOVG) to diagnose and engineer a reliable harness.

AI AgentsETCLOVGGovernance
0 likes · 32 min read
Why the Real Production Bottleneck for AI Agents Is the Harness, Not the Model
Ray's Galactic Tech
Ray's Galactic Tech
Jul 17, 2026 · Artificial Intelligence

High‑Concurrency RAG: When to Use Classic, Graph or Agentic Architecture

The article analyzes why production‑grade RAG systems fail under load and explains how Classic, Graph, and Agentic RAG each address specific problem stages, offering concrete engineering guidelines for query normalization, caching, versioned knowledge, graph construction, stateful agents, and governance to achieve stable high‑throughput performance.

Agentic RAGCachingRAG
0 likes · 31 min read
High‑Concurrency RAG: When to Use Classic, Graph or Agentic Architecture
Ray's Galactic Tech
Ray's Galactic Tech
Jul 17, 2026 · Backend Development

Three Critical Guarantees for Message Queues: No Loss, No Duplicates, No Disorder – Deep Dive into Production‑Grade Solutions

This article dissects why modern systems must enforce three reliability guarantees—no message loss, no duplicate processing, and no out‑of‑order delivery—by examining real‑world order flows, outbox patterns, idempotent keys, partitioning strategies, consumer acknowledgments, and operational safeguards such as replay, dead‑letter handling, and monitoring.

Distributed SystemsIdempotencyKafka
0 likes · 28 min read
Three Critical Guarantees for Message Queues: No Loss, No Duplicates, No Disorder – Deep Dive into Production‑Grade Solutions