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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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Latest from Ray's Galactic Tech

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Ray's Galactic Tech

Apr 23, 2026 · Backend Development

Stop Treating LLMs as 'All‑Purpose Tools': Practical Spring AI Multi‑Agent Architecture for Production

This article analyses why a single‑agent LLM approach quickly hits scalability, context, and governance limits, and presents a production‑ready Spring AI Multi‑Agent design—including layered architecture, agent metadata, skill engineering, routing strategies, orchestration, resilience, A2A service discovery, Kubernetes deployment, observability, security, and cost‑control—backed by concrete Java code examples.

A2AJavaKubernetes

0 likes · 38 min read

Stop Treating LLMs as 'All‑Purpose Tools': Practical Spring AI Multi‑Agent Architecture for Production

Ray's Galactic Tech

Apr 22, 2026 · Cloud Native

Solving K8s Stateful App Storage Pain: Production-Ready Longhorn + MySQL StatefulSet

This article dissects the challenges of running MySQL as a stateful workload on Kubernetes, explains why storage, consistency, and fail‑over are the real pain points, and provides a production‑grade solution that combines Longhorn distributed block storage with a carefully engineered MySQL 8.0 StatefulSet, complete with YAML manifests, performance tuning, backup strategies, and disaster‑recovery playbooks.

KubernetesLonghornMySQL

0 likes · 50 min read

Solving K8s Stateful App Storage Pain: Production-Ready Longhorn + MySQL StatefulSet

Ray's Galactic Tech

Apr 21, 2026 · Artificial Intelligence

From Demo to Production: Building a Scalable AI Agent Web App with LangChain4j

Learn how to transform a simple LangChain4j demo into a production‑ready AI agent web application by designing a robust architecture, implementing multi‑agent orchestration, RAG, tool integration, session management, observability, security, and scalable deployment with Spring Boot, PostgreSQL, Redis, Kafka, Docker and Kubernetes.

AIObservabilityRAG

0 likes · 43 min read

From Demo to Production: Building a Scalable AI Agent Web App with LangChain4j

Ray's Galactic Tech

Apr 19, 2026 · Operations

How to Make Real‑Time Speech Translation Reliable: Observability & Load‑Testing Secrets

This article dissects the challenges of building a production‑grade real‑time speech translation pipeline, explains why low latency, high accuracy, and resource contention are opposing forces, and then walks through a four‑layer architecture, metric design, tracing, structured logging, capacity planning, and a multi‑stage load‑testing methodology with concrete code examples and real‑world failure patterns.

Observabilityload-testingmicroservices

0 likes · 39 min read

How to Make Real‑Time Speech Translation Reliable: Observability & Load‑Testing Secrets

Ray's Galactic Tech

Apr 19, 2026 · Cloud Native

Building a Production‑Ready Cloud‑Native Kubernetes Platform: From Zero to SRE Success

This article presents a step‑by‑step guide to designing and implementing a production‑grade Kubernetes platform with GitOps, observability, capacity governance, fault‑injection, and SRE practices, showing how to achieve unified delivery, reliability, and low‑cost operation for high‑concurrency business services.

Cloud NativeGitOpsKubernetes

0 likes · 37 min read

Building a Production‑Ready Cloud‑Native Kubernetes Platform: From Zero to SRE Success

Ray's Galactic Tech

Apr 18, 2026 · Operations

How to Build a Resilient GPU Inference Autoscaling System on Kubernetes

This article explains why scaling GPU inference services on Kubernetes is challenging and presents a multi‑layer control architecture, metric upgrades, and production‑ready implementations using HPA, KEDA, KServe, and Karpenter to achieve stable, cost‑effective autoscaling.

AutoscalingGPUHPA

0 likes · 29 min read

How to Build a Resilient GPU Inference Autoscaling System on Kubernetes

Ray's Galactic Tech

Apr 17, 2026 · Backend Development

Build a Million-Connection Audio Gateway with Java WebFlux – Engineering Practices

This article explains how to design and implement a production‑grade, million‑scale long‑connection audio gateway using Java WebFlux, covering architecture decomposition, capacity planning, back‑pressure handling, routing, Kubernetes deployment, monitoring, and real‑world pitfalls for reliable real‑time voice services.

AudioGatewayDistributedSystemsJava

0 likes · 39 min read

Build a Million-Connection Audio Gateway with Java WebFlux – Engineering Practices

Ray's Galactic Tech

Apr 16, 2026 · Artificial Intelligence

How to Turn FunASR into a Production‑Ready Real‑Time Speech Platform: From Single‑Node Demo to Million‑Scale Architecture

This article explains how to evolve FunASR from a simple demo into a production‑grade, low‑latency, high‑concurrency streaming speech‑recognition system by addressing model inference, session state, scaling layers, Kubernetes deployment, monitoring, and common pitfalls for real‑world use cases such as call‑center quality inspection.

FunASRReal-time Speech RecognitionStreaming ASR

0 likes · 38 min read

How to Turn FunASR into a Production‑Ready Real‑Time Speech Platform: From Single‑Node Demo to Million‑Scale Architecture

Ray's Galactic Tech

Apr 15, 2026 · Cloud Native

From Solo Demo to Cloud‑Native: Building a High‑Availability Real‑Time Translation Bot with AgentScope Java

This article walks through the complete engineering practice of turning a single‑machine demo into a cloud‑native, highly available real‑time translation robot using AgentScope Java, covering business requirements, architecture evolution, core AgentScope concepts, code examples, deployment, observability, performance tuning, and common pitfalls.

agent architecturecloud-nativemicroservices

0 likes · 29 min read

From Solo Demo to Cloud‑Native: Building a High‑Availability Real‑Time Translation Bot with AgentScope Java

Ray's Galactic Tech

Apr 14, 2026 · Backend Development

How Go Microservices Pay a Hidden Performance Tax—and How to Eliminate It

This article examines the often‑overlooked performance “tax” in Go microservices, detailing how misuse of goroutines, channels, interfaces, object allocation, and fan‑out patterns inflates CPU, memory, and tail‑latency costs, and provides concrete engineering strategies—such as request‑level concurrency limits, bulkheads, and efficient logging—to achieve production‑grade scalability.

GCGoKubernetes

0 likes · 40 min read

How Go Microservices Pay a Hidden Performance Tax—and How to Eliminate It