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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

Aug 13, 2026 · Backend Development

Event Sourcing Primer: Rebuilding State Without a Database

This article explains how event sourcing replaces the traditional current‑state table with an immutable event log, allowing systems to reconstruct any state, handle concurrency, support auditing, and power flexible read models through projections, while outlining the necessary architectural components such as aggregates, event stores, snapshots, outbox, idempotency, and the natural transition to CQRS.

CQRSEvent SourcingIdempotency

0 likes · 32 min read

Event Sourcing Primer: Rebuilding State Without a Database

Ray's Galactic Tech

Aug 12, 2026 · Backend Development

Message Queue Showdown: When to Use Kafka, RabbitMQ, or Pulsar

This article dissects common MQ mis‑selections, categorises four message types, explains the five architectural roles of a message broker, compares Kafka, RabbitMQ and Pulsar on capabilities and trade‑offs, and provides a step‑by‑step selection guide with real‑world code snippets and best‑practice patterns.

Event-Driven ArchitectureKafkaMessage Queue

0 likes · 26 min read

Message Queue Showdown: When to Use Kafka, RabbitMQ, or Pulsar

Ray's Galactic Tech

Aug 11, 2026 · Backend Development

Why the User Model in Orders Slows Microservices – DDD Context Demo in Java

The article explains how sharing the full User model inside the Order aggregate creates hidden coupling that blows up microservice performance, and shows a step‑by‑step DDD bounded‑context refactor with event‑storming, outbox, saga, idempotency and CQRS using Java 21, Spring Boot 3.x, MySQL and Kafka.

CQRSDDDJava

0 likes · 35 min read

Why the User Model in Orders Slows Microservices – DDD Context Demo in Java

Ray's Galactic Tech

Aug 11, 2026 · Cloud Native

Microservice Governance: Gateway, Config Center & Tracing to Avoid Pitfalls

Splitting a monolithic order system into separate services introduces challenges such as scattered routing, uncontrolled configuration changes, and fragmented logs, which can be mitigated by implementing a unified API Gateway, a centralized Nacos configuration center, and comprehensive SkyWalking tracing to ensure observability, fault isolation, and safe incremental releases.

API GatewayNacosSkyWalking

0 likes · 50 min read

Microservice Governance: Gateway, Config Center & Tracing to Avoid Pitfalls

Ray's Galactic Tech

Aug 10, 2026 · Cloud Native

Why Splitting into Microservices Can Drop Performance by 300%: 10 Common Anti‑Patterns to Avoid

A high‑traffic e‑commerce monolith was split into 13 microservices, causing order latency to jump from 300 ms to 1.2 s, P99 over 8 s, and throughput to halve, and the article analyzes why this happens and presents ten fatal anti‑patterns with concrete remediation steps.

Distributed Systemsanti-patternshigh-concurrency

0 likes · 37 min read

Why Splitting into Microservices Can Drop Performance by 300%: 10 Common Anti‑Patterns to Avoid

Ray's Galactic Tech

Aug 10, 2026 · Cloud Native

Destruction and Rebirth: Deep Dive into ETCD Backup and Restore for Kubernetes Clusters

This article walks through a real‑world ETCD failure, explains why ETCD is the control‑plane brain, details the three‑layer ETCD architecture, exposes common backup pitfalls, and provides a production‑grade backup‑restore workflow—including snapshot API usage, Go implementation, verification steps, and post‑restore validation—for reliable Kubernetes disaster recovery.

BackupCloud NativeGo

0 likes · 33 min read

Destruction and Rebirth: Deep Dive into ETCD Backup and Restore for Kubernetes Clusters

Ray's Galactic Tech

Aug 9, 2026 · Cloud Native

Goodbye Hand‑Written YAML Hell: Deploy Microservices with Helm

The article explains how manual Kubernetes YAML quickly becomes unmanageable in microservice environments and demonstrates how Helm provides templating, parameterization, versioning, dependency management, and lifecycle hooks to create a standardized, automated, production‑grade deployment pipeline that can handle billions of requests across multiple services.

CI/CDGitOpsHelm

0 likes · 35 min read

Goodbye Hand‑Written YAML Hell: Deploy Microservices with Helm

Ray's Galactic Tech

Aug 7, 2026 · Databases

OLAP Engine Selection for Billion‑Row Analytics: Doris, ClickHouse, StarRocks

This guide compares Doris, ClickHouse, and StarRocks for billion‑row real‑time analytics, outlining their strengths and weaknesses across write throughput, update handling, join performance, concurrency, cost, and operational complexity, and provides concrete modeling, ingestion, query governance, and fault‑tolerance recommendations to help teams choose the most suitable OLAP platform.

ClickHouseDorisFlink

0 likes · 32 min read

OLAP Engine Selection for Billion‑Row Analytics: Doris, ClickHouse, StarRocks

Ray's Galactic Tech

Aug 7, 2026 · Operations

Scaling Nginx to Handle 500M Daily Requests: From Reverse Proxy to Traffic Governance Hub

This article walks through an enterprise‑grade Nginx upgrade for a payment platform handling ~500 million daily requests, detailing why simple reverse‑proxying fails, how Nginx can become a traffic‑governance edge with rate limiting, edge caching, gray releases, high‑availability, and observability, and provides production‑ready configurations and step‑by‑step analysis.

Edge CachingHigh AvailabilityNginx

0 likes · 42 min read

Scaling Nginx to Handle 500M Daily Requests: From Reverse Proxy to Traffic Governance Hub

Ray's Galactic Tech

Aug 6, 2026 · Databases

Taming Message Storms: Redis 7.x Engineering Practices for Enterprise Live‑Streaming Platforms

This article dissects why a simple Redis upgrade is insufficient for large‑scale live streaming, then walks through how Redis 7’s Sharded Pub/Sub, Function, and ACL v2 features together eliminate broadcast storms, streamline script governance, and enforce fine‑grained multi‑tenant control, backed by concrete architecture diagrams, production‑grade Java code, capacity planning, monitoring, rollout procedures, and real‑world benchmark results.

RedisRedis FunctionSharded Pub/Sub

0 likes · 41 min read

Taming Message Storms: Redis 7.x Engineering Practices for Enterprise Live‑Streaming Platforms