AI DevOps Korea
Aidevops.kr covers LLMOps, RAG, agents, observability, evaluation, and cost-performance optimization for production AI services.
Technical Archive for Real Work
plogger focuses less on syntax walkthroughs and more on why a technical choice makes sense, what tradeoffs it creates, and what usually matters once a system reaches production. The goal is to make frontend, backend, DevOps, and testing decisions easier to reason about.
Kubernetes, GitOps, 모니터링, 배포 자동화처럼 운영 안정성과 전달 속도를 함께 높이는 방법을 다룹니다.
API 설계, 아키텍처, 분산 시스템, 메시징, 서버 애플리케이션 운영까지 백엔드의 핵심 의사결정을 정리합니다.
React, Vue, Next.js, 상태 관리, 렌더링 모델, 웹 성능까지 화면과 사용자 경험을 설계하는 기술을 다룹니다.
Java, Python, TypeScript, Rust 등 언어별 핵심 개념과 실무에서 바로 체감되는 패턴을 정리합니다.
Flutter, React Native, Compose, SwiftUI 등 모바일 앱 구조와 성능, 경험 설계를 함께 다룹니다.
LLM 애플리케이션 설계, RAG, 평가, 프롬프트 운영, 추적성과 배포 안정성까지 AI 시스템을 실전에서 굴리는 방법을 다룹니다.
인덱스, 트랜잭션, 스키마 설계, 쿼리 최적화, 검색 시스템까지 데이터 저장과 조회의 본질을 다룹니다.
리눅스, Git, 알파고, ChatGPT처럼 기술의 흐름을 바꾼 사건과 인물, 결정적인 순간들을 흥미로운 이야기로 풀어냅니다.
단위 테스트, E2E, 부하 테스트, TDD, 테스트 전략처럼 품질을 시스템적으로 높이는 방법을 정리합니다.
개발 생산성을 높이는 에디터, CLI, 협업 도구, 워크플로우와 실전 사용 팁을 모았습니다.
최신 릴리스와 공식 발표를 바탕으로, 지금 읽을 가치가 있는 기술 변화와 그 실무적 의미를 깊이 있게 정리합니다.
Game Corner
Jump straight into short training games for database, backend, DevOps, and frontend decision-making.
Turn index and query decisions into explainable reasoning instead of guesswork.
Practice choosing release strategy by risk and recovery profile rather than tool popularity.
Learn to read boundaries and consistency requirements before jumping to implementation tools.
Choose rendering strategy by freshness, SEO, and interaction boundaries instead of hype.
From Plogger to AI DevOps Korea
Aidevops.kr connects AI development, LLMOps, RAG, AI agents, observability, performance tuning, and quality validation into one practical operating model.
Focus Areas
Editor’s Picks
A quick way to understand the tone and focus of the blog.
This article explains Kubernetes operations not as a collection of settings but from the perspective of resource placement and resilience. It covers when and how to use requests/limits, HPA, affinity, taints, PDBs, and probes in real environments.
⚙️ BackendThis guide explains CQRS and Event Sourcing in terms of domain boundaries, projections, consistency tradeoffs, snapshots, and operational complexity.
🖥️ FrontendThis guide explains micro frontends from the perspective of team boundaries and deployment independence rather than a technical demo. It covers Module Federation structure, shared dependencies, runtime loading, state sharing, operational pitfalls, and adoption criteria.
Reading Paths
A practical path through microservices, event-driven communication, and CQRS-style thinking.
Understand server components, the App Router model, and how server-state boundaries shape modern React apps.
A compact flow covering GitOps, observability, and testing practices for stable software delivery.
Tag Guide
For system boundaries, tradeoffs, and design direction.
For bottlenecks, rendering costs, and optimization work.
For quality strategy and feedback loops.
For modern React rendering and delivery models.
For UI architecture and client-side tradeoffs.
For APIs, services, and distributed systems concerns.
Latest Writing
The full archive sorted by recency.
This article explains Kubernetes operations not as a collection of settings but from the perspective of resource placement and resilience. It covers when and how to use requests/limits, HPA, affinity, taints, PDBs, and probes in real environments.
This guide explains CQRS and Event Sourcing in terms of domain boundaries, projections, consistency tradeoffs, snapshots, and operational complexity.
This guide explains micro frontends from the perspective of team boundaries and deployment independence rather than a technical demo. It covers Module Federation structure, shared dependencies, runtime loading, state sharing, operational pitfalls, and adoption criteria.
This guide explains Core Web Vitals not as a checklist, but from the perspective of perceived performance and rendering structure. It shows why LCP, CLS, and INP degrade, what to measure first, and how to optimize them in the right order.
This guide explains React Server Components as an architectural choice rather than just a feature overview. It covers client-component boundaries, Server Actions, caching, streaming, and common production pitfalls in the context of the Next.js App Router.
A practical guide to Kotlin for Java developers through a production lens. Learn what Kotlin changes in team habits, not just in syntax, especially around null safety, state modeling, and coroutines.
A production-focused guide to TypeScript utility types. Learn how to model DTOs, update payloads, selectors, and derived types without making your type layer harder to read.
A production-focused guide to Java 21 Virtual Threads. Learn where they improve throughput, where they do not help, and what to validate before rolling them into a Spring Boot service.
A production-focused guide to Python decorators. Learn when decorators clarify cross-cutting policy, when they hide behavior, and how to keep them diagnosable in real codebases.
A practical guide to modern JavaScript syntax through an engineering lens. Learn which ES2024-era features genuinely improve code quality and which ones still need restraint.
A production-oriented guide to Rust ownership, borrowing, and lifetimes. Learn how these ideas shape API design, memory safety, and concurrency boundaries in real systems.
A production-minded guide to Go fundamentals. Learn why Go feels simple, where that simplicity creates discipline requirements, and how teams should read channels, interfaces, and error handling in real systems.
A production-minded guide to the Java Stream API. Learn where streams clarify business rules, where imperative code is safer, and how to avoid unreadable pipelines.
A production-focused guide to Python asyncio. Learn when async I/O helps, how to structure cancellation and timeouts, and which failure modes matter in real services.
A practical and production-focused guide to TypeScript generics. Learn when generics improve API contracts, when they overcomplicate code, and how to keep inference readable.
How to build Android app UIs with Jetpack Compose. Covers Composable functions, state, LazyColumn, ViewModel, and navigation with practical examples.
A practical introduction to SwiftUI's core concepts. Covers View, State, Binding, List, NavigationStack, and async handling for developers getting started with iOS app development.
Strong agents do not only automate more. They show clearly when a human should step in. This guide explains approval UX in practical terms.
Treating long-running backend work as a synchronous API problem usually hurts both user experience and operational stability. Here is a practical job-status pattern.
Backfills rarely finish in one perfect run. Checkpoint design determines whether a data migration can survive interruption and restart safely.
Preview environments accelerate feedback, but without lifecycle rules they can quickly become an expensive form of shadow production.
Optimistic UI feels fast, but complexity appears when the server disagrees. This guide explains where optimistic updates should stop.
A type system is strong inside the application, but external input still needs to be narrowed and validated early. This guide explains the boundary strategy.
Mobile stability is not only about reducing crashes. It is also about deciding which level is acceptable and when release should stop.
A practical summary of the mobile UI/UX principles developers should know. Covers touch target sizing, gesture patterns, safe areas, iOS and Android design differences, and accessibility.
Even in an age of polished GUIs, developers keep returning to the terminal. This story explains why the CLI became a cultural center of engineering.
You cannot run everything before deployment. A strong release gate depends on a short, reliable smoke test set with clear purpose.
As documentation grows, the problem shifts from writing to finding. This guide explains how to design search-friendly engineering documentation.
An important AI product trend is not only bigger models, but better decisions about where smaller models belong in the system.
How to optimize performance in React Native and Flutter apps. Covers rendering optimization, image optimization, list performance, memory management, and bundle size reduction.
DeepSeek drew attention not only for quality, but for what it suggests about the economics of reasoning workloads.
Gemma is useful when teams want to productize smaller models instead of assuming every feature needs a large one.
Llama represents more than another model family. It gives teams a practical path toward self-hosted, open-weight AI operations.
Mistral often appears in discussions about open-model efficiency. The real question is where its quality-to-cost balance works best in production.
How to build a Progressive Web App (PWA). Covers Service Workers, the Web App Manifest, offline support, push notifications, and home screen installation with practical examples.
Agents do not get better just because they remember more. In production, memory budgets and summarization rules drive quality.
API versioning is less about bumping numbers and more about moving consumers safely without breaking real dependencies.
Trying to finish schema changes in one step raises deployment risk. Expand-contract breaks them into safer stages.
A failed deployment is manageable. A team that cannot decide when to roll back is much more dangerous.
Frontend performance improves when teams decide what really needs interaction first, not when they hydrate everything immediately.
TypeScript alone cannot protect external input. Teams need a clear boundary between static types and runtime validation.
A practical guide to Riverpod 2.0 for Flutter state management. Covers provider types, Notifier, AsyncNotifier, dependency injection, and code generation.
Feature flags accelerate releases, but if they are never retired they quickly increase code and operational complexity.
Great technology alone does not keep open source alive. Communities first learn to trust the maintainers behind the code.
Many unstable tests fail because of data, not assertions. Teams need rules for creation, sharing, cleanup, and retention.
Team rules decay quickly when they live only in a wiki. A useful handbook should evolve alongside development work.
Coding agents are moving beyond autocomplete toward execution environments with explicit limits, permissions, and safety rails.
Model APIs are shifting from text generators to tool orchestration surfaces. Here is how to think about Responses API and Remote MCP in production.
Retiring an API is often riskier than launching one. This post outlines practical rules for deprecation and sunset operations.
The hardest part of a large backfill is often not loading data, but proving the target is correct. Here is a practical reconciliation approach.
Supply-chain security is not complete when an attestation exists. It matters when provenance becomes part of deployment policy.
Recent React work around Activity and View Transitions is about more than animation. It changes how teams can approach UI continuity and preserved state.
A JDK upgrade is not just a version bump. It is an organizational rollout across services, tooling, and runtime assumptions.
Offline-first quality depends less on local storage choice and more on how conflicts are resolved when devices reconnect.
A practical guide to React Navigation 6, the standard navigation library for React Native. Covers Stack, Tab, Drawer, nested navigators, and deep linking.
Model APIs once looked like simple prompt-response endpoints. Then tools, file search, and remote connections turned them into something much larger.
Testing should not end at pre-release CI. This post explains how to connect synthetic monitoring with canary rollout validation.
Teams adopting AI coding tools need more than productivity. They need clear write boundaries, approval flows, and workspace guardrails.
The shift toward user namespaces being enabled by default is more than a small Kubernetes option change. It signals stronger container isolation expectations.
A practical comparison of the strengths and weaknesses of React Native and Flutter for mobile app development. Covers performance, developer experience, ecosystem, and the job market.
A practical guide to Flutter's core widget system. Covers StatelessWidget, StatefulWidget, key layout widgets, lists, forms, and animations.
How to start a React Native app quickly with Expo. Covers project setup, navigation, styling, native feature access, and deployment with practical examples.
Deployment once felt like a tense event. Containers and Kubernetes helped turn it into something more repeatable, automated, and systematized.
GPUs were once mostly associated with graphics. How did they become one of the defining power centers of the AI industry?
Large language models once looked like impressive text completion systems. Why do they now feel like the beginning of a new software interface layer?
Netflix began as a DVD-by-mail company. How did it become one of the strongest symbols of digital reinvention, streaming, and cloud-native operations?
When frontier models seemed destined to remain concentrated inside a few major companies, open-weight AI reopened the story in a different direction.
OpenAI began with a powerful research ideal. How did it come to look like one of the most influential product and platform companies in AI?
AI spent years solving problems on screens. Why does it now feel like the industry is turning back toward robots, autonomy, and the physical world?
Microsoft once looked like a giant tied to an older era. How did it become central again to developers, cloud platforms, and modern infrastructure?
The iPhone was not just a successful device launch. It changed how people touched, imagined, and carried computing itself.
The rise of zero trust was not just a new security slogan. It reflected a deeper collapse of old assumptions about networks, trust, and where work happens.
A practical guide to using Docker Desktop as a local development standard through Compose, volume strategy, resource tuning, Dev Containers, and onboarding design.
Bigger prompts are not automatically better. This guide explains how production teams should budget context windows for quality, latency, and cost.
A timeout is not just a number. It is a resource-protection contract across the full backend call chain.
A deleted flag is not the end of deletion design. This guide explains how production systems should separate soft delete, archive, and purge.
A deployment pipeline does not only move code. It moves trust. This guide explains how to define promotion contracts across dev, staging, and production.
Optimistic UI is not only about speed. It is about preserving user trust when fast-looking actions later fail.
Strong type systems do not remove the need for validation. This guide explains how production teams should divide responsibility between types and runtime checks.
Startup performance does not improve by instinct alone. This guide explains how to budget cold and warm start behavior in real mobile products.
As the phone industry shifted from device-centric products to app-centric platforms, Android spread with remarkable speed. This is the story of why.
AWS did more than offer servers on demand. It changed how software teams bought infrastructure, experimented, and moved at startup speed.
The browser wars were not only a market fight. They accelerated the web, distorted it, and helped create the platform complexity frontend teams still live with today.
Why the public release of ChatGPT on November 30, 2022 felt less like a normal product launch and more like the beginning of a new software era.
Git did not begin as an abstract dream about version control. It emerged in 2005 as a practical answer to a collaboration crisis in Linux kernel development.
The five-game match in March 2016 was more than a contest. It permanently changed how the public imagined the reach of artificial intelligence.
How a 1991 hobby operating system project grew into the foundation of servers, cloud platforms, Android, and modern AI infrastructure.
Many ideas that feel natural to developers today trace back to Unix at Bell Labs: composable tools, text pipelines, and a culture of understandable systems.
Running more tests is not the same as shipping safely. This guide explains how to define a release-candidate cutline around real risk.
Development that depends only on memory creates repeat cost. This guide explains how engineers and teams can use notebooks as workflow tools.
A practical guide to IntelliJ IDEA productivity through navigation, safe refactoring, debugging flow, and team-level IDE habits rather than shortcut memorization alone.
Chasing every new tool is not the same as adopting wisely. This guide explains how platform teams can structure review and adoption rhythms.
A practical guide to using Postman for API exploration, environment management, collection design, shared test flows, and Newman-based CI checks.
A practical guide to terminal productivity through shell defaults, aliases vs scripts, plugin restraint, and tool choices such as ripgrep, fd, bat, and fzf.
A practical guide to using GitHub Copilot safely and effectively for repetitive code, tests, review support, and documentation without weakening engineering judgment.
A structured AI and LLMOps learning roadmap that helps beginners, intermediate engineers, and advanced practitioners build knowledge in order.
A structured backend roadmap covering API fundamentals, reliability patterns, and distributed architecture in a practical learning order.
A structured database roadmap from indexing and query basics to replication, partitioning, and schema-safe operations.
A practical DevOps roadmap from container and CI/CD basics to observability, release control, and on-call operations.
A structured frontend roadmap from component and state fundamentals to rendering strategy, performance, and architecture trade-offs.
A practical language-learning roadmap covering type systems, concurrency, runtime behavior, and maintainable software design.
A practical mobile roadmap covering UI foundations, release safety, observability, and cross-platform design decisions.
A structured testing roadmap from unit test basics to contract boundaries, flaky-test control, and production-grade quality strategy.
A practical tools roadmap covering local workflow, collaboration discipline, and engineering decision systems.
A practical migration guide from Webpack to Vite focused on dev-server model changes, plugin inventory, environment handling, and production validation.
A structured way to read trend articles so you can separate headlines, platform shifts, and practical adoption decisions.
A practical way to define quality rubrics, failure classes, and release gates for production AI features.
A practical guide to controlling model cost with quotas, routing policy, and product-aware usage budgets.
How to design idempotency key generation, storage, expiry, and replay behavior for real production APIs.
How to choose between orchestrated and event-driven sagas when distributed workflows become hard to reason about.
A practical guide to handling lag, read-after-write expectations, and replica-safe query paths in production systems.
How to manage backward compatibility, field ownership, and change safety across analytics and event pipelines.
How strong teams prepare code, operations, and rollback plans before a high-risk release freeze window.
What makes an operational runbook actually usable during incidents instead of just technically complete.
How to place error boundaries so failures are isolated without turning the UI into a generic crash-recovery maze.
Where server-driven UI helps, where it hurts, and how to avoid turning flexibility into a slower product platform.
A practical approach to finding heap growth, retention paths, and object lifetime problems in JVM services.
How to keep Python applications maintainable by separating transport, domain rules, and persistence responsibilities.
How to combine app-store releases, feature flags, and operational safety to ship mobile features with less risk.
How to keep iOS, Android, and cross-platform clients aligned with one design language without slowing delivery.
How to decide what a contract test should cover so teams catch integration risk without duplicating full end-to-end suites.
A practical way to classify, contain, and fix flaky tests before they erode trust in the entire pipeline.
A practical review checklist that keeps code review focused on risk, behavior, and maintainability instead of style-only comments.
How to use lightweight decision records so architecture choices stay explainable after the original discussion disappears.
A practical guide to separating linting and formatting concerns across React, Vue, and TypeScript projects, with team-level rules for local autofix and CI enforcement.
Why product operations are evolving as teams build workflows that assume AI assistance, review loops, and structured escalation.
Why platform teams are shifting from ticket-driven infrastructure support to an internal product operating model.
How to use model-behavior policy such as the OpenAI Model Spec as a practical product-governance layer for AI features.
A practical guide to designing agent systems around the OpenAI Responses API, built-in tools, conversation state, and operational guardrails.
A practical guide to rate limiting that balances protection, fairness, burst tolerance, and tenant experience in production APIs.
How to design CDC pipelines for search, analytics, eventing, and downstream sync without turning the database log into uncontrolled system coupling.
A practical introduction to SBOMs, provenance, attestations, and release verification for teams hardening modern delivery pipelines.
How to personalize at the edge without destroying cache efficiency, observability, and operational simplicity.
A practical guide to worker pools, bounded concurrency, queue control, and backpressure when building Go services.
A practical guide to combining crash data, startup metrics, rendering smoothness, network traces, and release cohorts in mobile apps.
How to separate release-time end-to-end tests from production synthetic checks without duplicating effort or confusing confidence signals.
How to use dev containers to standardize local environments, onboarding, tooling, and CI parity without making developer workflows heavier than they need to be.
A practical comparison of npm, Yarn, and pnpm focused on lockfiles, workspace behavior, CI caching, dependency strictness, and operational tradeoffs.
A practical reading of Kubernetes v1.34 for platform teams, focusing on the changes that most affect operations, workload design, and cluster governance.
Why the React Foundation matters beyond governance news, and how it may affect framework coordination, ecosystem stewardship, and long-term frontend strategy.
A practical guide to using VS Code more effectively through workspace settings, tasks, debug flows, extension hygiene, and team-level editor standardization.
A practical guide to building guardrails for AI agents covering tool permissions, plan review, approval checkpoints, failure boundaries, and auditability.
A practical guide to LLMOps architecture covering request routing, prompt versioning, tracing, fallback strategy, evaluation loops, cost controls, and operational ownership.
A production-focused guide to prompt engineering covering prompt contracts, structured outputs, versioning, evaluation, rollback, and team workflow.
A practical playbook for evaluating retrieval-augmented generation systems with document coverage, ranking quality, answer grounding, failure analysis, and release gates.
A practical guide to choosing a Git branching strategy based on release cadence, CI maturity, hotfix handling, and team size. Compare Git Flow, GitHub Flow, and trunk-based development from an operational point of view.
A practical guide to Spring Boot test slices from the perspective of test-pyramid design and execution cost. Covers when to use @WebMvcTest, @DataJpaTest, @JsonTest, @RestClientTest, and when @SpringBootTest is the better choice.
A practical guide to choosing the right test double. Covers the difference between state verification and interaction verification, the risk of excessive mocking, and how to decide between mocks, stubs, spies, and fakes.
A practical guide to testing Java-based APIs with REST Assured. Focuses on contract validation, authentication flows, test data, and integration-test boundaries rather than just request examples.
A practical guide to using k6 as a tool for validating performance hypotheses. Covers scenario design, thresholds, think time, workload modeling, CI integration, and common mistakes.
JDK 25 reached GA on September 16, 2025 and serves as the reference implementation of Java 25. The real question is not how many JEPs landed, but which ones deserve production attention now.
As of April 21, 2026, Kubernetes officially maintains 1.35, 1.34, and 1.33. The real trend is not feature volume but lower disruption, simpler configuration, and better cost control.
The key 2026 shift in agent platforms is no longer model quality alone. It is how teams standardize tool access, approval boundaries, and observability around MCP.
PostgreSQL 18 is more than an upgrade headline. AIO, skip scan, better post-upgrade recovery, OAuth, and generated columns all point to a release focused on operational cost reduction.
A practical guide to designing idempotent backend behavior across duplicate requests, network retries, and asynchronous processing.
A practical guide to schema evolution in production using expand-migrate-contract patterns, compatibility windows, and operational safeguards.
A practical guide to combining blue-green deployment, canary rollout, and feature flags to reduce release risk in production.
A practical look at how static types, null handling, generics, and immutability shape API design quality and team productivity.
A practical guide to stabilizing mobile delivery through release trains, staged rollout, crash monitoring, and remote control mechanisms.
A practical guide to designing test data for unit, integration, and end-to-end testing through fixtures, factories, masking, and environment reset strategies.
How to test Vue components with Vue Testing Library and Vitest from the user's point of view. Covers rendered output, interactions, async UI, Pinia/Router integration, and how to avoid implementation-heavy tests.
A practical guide to choosing monorepo tooling such as Nx, Turborepo, and workspace-based setups through caching, graph control, CI cost, and team operating model.
How to use React Testing Library as a user-centered testing tool. Covers query priority, interaction tests, async UI, provider wrappers, and how to avoid excessive mocking.
A production-oriented playbook for index design that covers read/write tradeoffs, composite indexes, covering indexes, cardinality, execution plans, anti-patterns, and an operational review workflow.
A practical guide to treating observability as an incident response system, covering metrics-log-trace correlation, alert quality, runbooks, SLOs, dashboards, and postmortem feedback loops.
A production-oriented guide to combining SSR, SSG, ISR, RSC, hydration boundaries, browser cache, CDN cache, and data cache in large frontend systems.
A system-design guide to runtime, memory, and concurrency tradeoffs across Java, Go, JavaScript/TypeScript, Python, and Rust with practical selection criteria for real workloads.
A practical guide to offline-first mobile architecture covering local databases, sync queues, conflict resolution, background sync, retry policy, battery and network constraints, and product tradeoffs.
A practical guide to TDD as a design feedback loop rather than a memorized procedure. Covers the meaning of Red-Green-Refactor, where it works best, where it can be too much, and how to apply it sustainably in real teams.
A practical guide to designing confidence instead of maximizing test count, covering the balance between unit, integration, contract, and E2E tests, flaky test control, CI gates, ownership, and operational policy.
A practical playbook for workflow automation across local checks, CI, scaffolding, release steps, and documentation, with a focus on reducing cognitive load without creating bypass-heavy systems.
This guide explains the API composition, authentication boundaries, caching, team structure, and operational trade-offs involved in adopting a BFF from a frontend perspective.
This guide looks at frontend performance not just as bundle optimization, but as an architectural problem involving rendering, data flow, caching, and observability.
This guide explains the rendering strategy, data layer, routing boundaries, caching, and operating model to consider when designing a Nuxt-based frontend architecture.
This guide compares Nuxt and Next.js in practical terms through the lens of rendering models, developer experience, operational complexity, team structure, and SEO strategy.
This guide explains how to design a React application as a maintainable system, covering component boundaries, state layers, server state, rendering models, and team collaboration structure.
This guide explains the tokens, component layers, accessibility, and release strategy needed to design a React-based design system in production.
This guide explains the screen boundaries, state structure, routing, data layer, and performance strategy needed to design a React-based SPA in production.
This guide explains the data flow, boundaries, caching, and progressive rendering strategies needed to design React SSR and streaming rendering in production.
This guide explains how to separate and design local state, server state, and global state in React applications from a practical engineering perspective.
This guide explains how to design a Vue.js project as a maintainable frontend system rather than just a collection of components, covering state boundaries, routing, data flow, folder structure, performance, and collaboration.
This guide covers component responsibility, reuse boundaries, props and events design, and slot strategy in Vue applications from a practical engineering perspective.
This guide explains how to design a Vue-based SPA as a long-lived single-page application rather than just a quick build, covering routing, state, data fetching, caching, deployment, and performance.
This guide explains when to adopt SSR in Vue, how it differs from SPA, and how to think about data loading, caching, hydration, and deployment from a practical engineering perspective.
This guide explains how to distinguish and design Pinia state, local state, and server state in Vue applications from a practical engineering perspective.
This guide compares Vue and React from the perspective of architecture, state models, rendering, team scalability, and ecosystem trade-offs rather than surface-level syntax preferences.
How to use Playwright as a reliable E2E testing platform rather than just a browser automation tool. Covers strategy, configuration, selector rules, mocking, auth-state reuse, and practical ways to reduce flaky tests.
How to use Cypress as a reliable user-flow validation tool, not just a browser automation script. Covers selector strategy, network control, test data, and ways to reduce flaky tests.
This guide explains how to use Circuit Breaker, Retry, TimeLimiter, and Bulkhead as an operational strategy for failure isolation in Spring Boot services.
This guide covers Outbox, Inbox, idempotency, retries, ordering, and observability as the practical foundation for distributed consistency without defaulting to 2PC.
This post explains how MySQL indexes work and how to optimize them using EXPLAIN analysis. It covers composite indexes, covering indexes, and index hints with practical examples.
This article explains Kubernetes Pods, Deployments, and Services not as isolated object definitions but through the lens of an operating model. It covers declarative deployment, network abstraction, configuration separation, and practical adoption concerns.
This guide looks at Vue Router 4 not just as a routing tool, but as a way to design page transitions and authorization flow. It covers nested routes, guards, lazy loading, and URL design principles.
This practical guide goes beyond Composition API syntax to cover logic composition, composable design, the boundary between ref and reactive, and maintainability in real projects.
A practical guide to Jest that goes beyond syntax. Covers what to unit test, how far mocking should go, and how to keep tests maintainable.
This guide covers event contracts, partition meaning, idempotency, replay, DLT, and operational metrics when using Kafka as a foundation for event-driven design.
A production-focused guide to microservice architecture. Learn when service boundaries pay off, how gateway and async patterns change failure modes, and what makes MSA sustainable beyond diagrams.
A production-focused guide to Spring Boot REST APIs. Learn how to keep controllers thin, contracts stable, transactions honest, and operational behavior predictable as the system grows.
This guide covers connection lifecycle, message modeling, authentication, delivery guarantees, and scale-out concerns when designing Spring Boot WebSocket systems.
This post summarizes Redis's five core data structures and practical use cases. It covers how to build sessions, rankings, real-time feeds, and distributed locks with Redis.
This article explains how to design reliable CI/CD pipelines with GitHub Actions, covering test separation, caching strategy, environment promotion, secret management, and deployment stability from a practical engineering perspective.
This guide covers the key design decisions when adopting Pinia in Vue 3, including store boundaries, separating server and client state, action design, and practical TypeScript usage.
This guide takes FastAPI beyond demo code and focuses on schema separation, dependency boundaries, authentication, exception policy, and production checkpoints.
This guide covers schema design, resolver responsibility, N+1, mutation design, authorization, and operational tradeoffs when treating GraphQL as a contract model rather than just selective field fetching.
This guide goes beyond @Cacheable and focuses on TTL design, invalidation, hot keys, consistency tradeoffs, and the metrics needed to run Redis caching well in production.
A production-focused guide to PostgreSQL that explains why its real strength is not feature count but the ability to combine relational rigor, analytical SQL, and operational discipline in one system.
This article looks at Docker from a practical engineering perspective, beyond basic container concepts, covering image design, layer caching, volumes, networking, and operational pitfalls.
This article explains how to use Docker Compose to improve local development productivity. It covers service boundaries, volumes, networks, dependency management, and the differences from production environments from a practical engineering perspective.
This guide explains when to use props, emit, provide/inject, and stores in Vue 3. It focuses less on syntax and more on how to design data flow and component boundaries.
This guide covers entity boundaries, relationship cost, N+1, DTO reads, transaction design, and operational pitfalls when using JPA in production.
This guide explains how unit tests, slice tests, and integration tests should be divided in a Spring Boot codebase to balance speed and confidence.
This guide covers JWT login flow, filter-chain responsibilities, token lifetime, authorization boundaries, and the operational decisions required for a production-ready setup.
This post explains MongoDB schema design from a practical perspective, going beyond embedding-vs-reference comparisons to cover access patterns, document boundaries, indexes, aggregations, and transaction cost.
This article covers the core decisions required when operating Nginx as a reverse proxy, static file server, and SSL termination point, including upstreams, caching, timeouts, security headers, and common failure points.
This guide explains how to apply TypeScript practically in Vue 3 projects, including defineProps, defineEmits, typing ref/reactive, modeling composables, and avoiding over-generalization.
This guide covers how to keep an Express API maintainable in production through layer separation, middleware design, validation, authorization boundaries, and consistent error handling.
This post summarizes ACID properties, transaction isolation levels (Read Uncommitted, Read Committed, Repeatable Read, Serializable), and the problems that occur at each level with practical examples.
This article explains Prometheus and Grafana from an observability design perspective rather than as an installation guide. Using Spring Boot as the baseline, it covers metric collection, label strategy, PromQL, dashboards, alerting, and common anti-patterns.
This guide covers the key decisions for building a fast development environment with Vite and Vue 3, including aliases, environment variables, proxies, build strategy, developer experience, and deployment stability.
This post explains Elasticsearch from a practical engineering perspective: search design, mappings, analyzers, aggregations, and operational cost, rather than just installation and query examples.
This article summarizes the core design points for managing AWS infrastructure with Terraform, covering state files, modularization, environment separation, change management, and operational risk from a practical perspective.
This guide explains React Hooks not just as syntax, but as a design tool for separating state and side effects. It covers when and how to use useState, useEffect, useRef, and custom hooks in real projects.
This post covers multiple ways to solve the N+1 problem, one of the most common JPA performance issues. It explains when to use Fetch Join, EntityGraph, Batch Size, and direct DTO queries.
This article organizes the core security baseline for running Linux servers safely in production, covering SSH hardening, least privilege, patching, firewalls, audit logs, and operating procedures in a checklist-oriented way.
This guide goes beyond basic Context API usage to cover when it fits well, how to control rerendering cost, and which kinds of state it should not own.
This post summarizes partitioning strategies for managing large-scale data efficiently. It covers MySQL partitions, horizontal and vertical splitting, and the concepts and implementation approaches behind sharding.
This article frames ArgoCD from an operating model perspective rather than as an installation guide. It covers what GitOps means, Application structure, automatic sync, drift recovery, promotion strategy, and multi-environment operations in practical terms.
This guide explains the Next.js App Router not as a folder-structure checklist, but as a rendering model. It covers server components, client components, layouts, loading and error handling, caching, and route handlers from a practical perspective.
A production-focused guide to SQL tuning that treats performance as a workload problem. Learn how to read plans, reduce data access, tune indexes honestly, and avoid premature query heroics.
This guide explains TanStack Query as a server-state model rather than a simple fetch helper, covering query key design, staleTime, invalidation, optimistic updates, and the boundary between server and client state.
This post summarizes the main syntax and feature differences you need to know when migrating from Oracle to MySQL, or from MySQL to Oracle, with practical query examples.
This guide covers practical TypeScript usage in React projects, including prop types, event types, generic components, state modeling, and how to avoid unnecessary type complexity.