Posts by Category

Cloud 11

Cloud infrastructure, storage, GPUs, VPS, CDN and data centers. What the pricing pages leave out, and where real costs diverge.

• AWS·Azure 자격증은 실무 능력을 얼마나 말해주나: 인사 담당자를 위한 판독법How much AWS and Azure certifications predict actual job performance, argued from re-corrected meta-analytic validity estimates, the two vendors' exam and renewal policies, and partner-tier economics…

Trends 6

What actually changed in cloud, data center and AI infrastructure markets — measured in numbers and outcomes, not announcements.

• GPU 10만 장을 한 번에 돌린다는 것: GPT-6 Astra를 만든 텍사스 데이터센터GPT-6 Astra was pretrained on over 100,000 GPUs at the Stargate site in Abilene, Texas. From 421 MW of power and 320 chillers to a 2-year…
• AI 회사는 클라우드 엔지니어에게 무슨 일을 시키나: 채용공고 1,368건을 뜯어봤다We analyzed 1,368 public job postings from OpenAI, Anthropic, and Google to understand infrastructure roles. Here is a breakdown—complete with terminology—covering scale where Kubernetes defaults break,…
• GPU 수천 장이 스토리지를 기다린다: OSDI 2026 최우수 논문이 찾아낸 LLM 학습의 세 병목The OSDI 2026 best paper analyzed 30,000 production training traces over 90 days and found three bottlenecks in LLM pre-training — cross-DC checkpoint merging, the initialization…
• 업계별 클라우드 지도: 패션은 AWS로 가고, 유통 대기업은 Azure로 도망친다Why cloud providers differ by industry, organised around five forces. Why Walmart avoids AWS and Zalando chose it, why Azure wins large incumbents, the real shape…
• MLOps 엔지니어는 무슨 일을 하나: 모델을 계속 돌아가게 만드는 사람들What MLOps engineers actually own, where the job ends and the neighbouring roles begin, how LLMOps widened the scope in 2026, the stack and portfolio to…
• 클라우드 개발자의 미래: 사라지는 직업이 아니라, 사다리를 올라가는 직업We break down the cloud engineer career outlook into tasks actually replaced by automation versus those that remain—and outline which tier you should ascend to next.

Tools & Services 1

VPS, CDN, VPN and management tools. Chosen by operational burden and real use, not spec sheets.

• 구글 클라우드는 어떤 회사인가: 3등이 성장률 1등으로 판을 흔드는 법Where Google Cloud actually stands, read through Q2 2026 revenue, backlog and market share. Its own TPUs and Gemini, BigQuery, the $32B Wiz acquisition, the Seoul…

Troubleshooting 3

Notes on making broken things work. From symptom to cause, and what to check first.

• 코드는 멀쩡한데 결과가 틀렸다: 2026년 트러블슈팅을 바꾼 다섯 편의 논문Five field papers from OSDI 2026 (ByteDance, Azure, Huawei, Alibaba) on how production troubleshooting is changing — finding defective GPUs with deterministic bitwise replay, profilers that…
• AI는 왜 Azure 장애 원인을 자꾸 틀리나: 2026년 논문을 실제 500 에러에 적용해봤다Applying AI failure patterns from 2026 cloud RCA papers (71.2% hallucinated interpretations, 39.9% declaring symptoms as causes) to Azure App Service and SQL outages. A step-by-step…
• 요즘 클라우드 장애는 이렇게 잡는다: 2026년 트러블슈팅이 달라진 네 가지A breakdown of what actually changed in 2026 cloud incident response: upstream dependency risks, eBPF kernel observability, OpenTelemetry standardization, the role and limits of AI SRE…

AI 21

From ChatGPT, Claude and Gemini to image generation and AI industry trends. Tools actually used, and what separates them.

• 오라클은 투자를 늘렸는데 왜 주가가 빠졌나Following Oracle's FY2027 capital expenditure plan, its $40B in new funding, and the depreciation and debt structure behind it — and the conditions that make an…
• AI가 쓰는 전기는 결국 누가 내는가Data centre electricity consumption against IEA projections, Korea's demand outlook, the density, cooling and transmission problems, and the debate over data-centre-specific tariffs.
• 아이폰도 안드로이드도 제미나이 위에서 돈다Google's Gemini Intelligence on the Pixel 11 alongside the new Gemini-based Siri: on-device AI performance, how far each reaches into personal data, and the settings users…
• 오픈AI가 최신 모델을 공짜로 푼 날, 실제로 바뀐 것Why OpenAI opened GPT-5.6 Luna to free users, how Luna, Terra and Sol differ, and what to check before putting a free tier underneath real work.
• 엔비디아가 12단 대신 8단을 달라고 했다 — HBM4 판이 바뀐 이유Why Nvidia asked for its main HBM4 supply to move from 12-high to 8-high, the heat and yield problems behind it, and what rising memory prices…
• 새로운 기록을 써내려가고 있는 엔비디아A summary of Nvidia's FY2027 Q2 results announced on 26 August 2026: revenue, data centre, EPS and margin outlook, the Q3 guidance, and why the stock…
• 무료 AI 티어는 왜 갑자기 바뀌는가 — 약관에서 확인할 네 가지An explanation of why free AI service terms change frequently and key points to check in the terms, including training data usage, retention periods, rights to…
• 이 이미지는 AI가 만든 것인가 — 워터마크·자격증명·판별기The three layers for checking an AI-generated image (visible label, invisible watermark, content credentials), the EU AI Act labelling deadlines, and a practical order for verification.
• 프롬프트 엔지니어링 기초: 마법의 주문이 아니라, 재현되는 규칙Seven rules that genuinely improve output when you change your prompt, each paired as a bad example and a fixed one. No magic words — only…
• 제미나이 활용법: 구글 문서·스프레드시트에서 실패하는 지시문과 고친 지시문Five step-by-step scenarios for cutting work with Gemini inside Google Workspace. Meeting notes, formulas, summaries, email and research — each with the prompt that fails paired…
• 회사 자료를 AI에 넣기 전에 — 유출은 어디서 일어나는가The six actual routes through which company data leaks via AI tools, policy guidelines for organizations, baseline practices for individuals, and incident response procedures.
• AI 이미지 생성 툴 비교: 승자는 없고, 작업마다 갈리는 지점이 있다Instead of ranking three image generation tools by quality, we break down their strengths by task type. Covers costs, commercial use rights, and local hardware requirements.
• AI PPT 제작: 툴이 대신해주는 일과, 끝까지 사람이 해야 하는 일We distinguish between what AI presentation tools actually handle and what humans must do until the end. We cover the differences between Gamma and Tome, and…
• AI 번역 비교: 번역기를 품질 순으로 줄 세우면 안 되는 이유We explain why you shouldn't rank translators by quality alone and highlight the differences across technical docs, contracts, casual text, and marketing copy. Includes a 3-step…
• AI 트렌드 읽기: 발표가 바뀐 것과, 실제로 바뀐 것Establishing criteria to distinguish announcements from real-world changes, we break down what actually changed in the AI industry in 2026 versus what was just loud demo…
• 6일 만에 무너진 최고 수익률: 아셴브레너의 펀드는 왜 시타델에 청산됐나A recap of how Aschenbrenner's top-performing AI hedge fund was liquidated in just six days, examining how leverage and margin calls interacted.
• AI 토큰 아끼는 법: 비용이 새는 구멍을, 큰 것부터 막는다Reducing AI token costs is only effective when you plug the biggest leaks first. Here is a prioritized guide based on real cost savings—covering prompt caching,…
• 초인공지능은 언제 오는가: 같은 방에 앉은 전문가들이 서로 다른 연도를 말한다A breakdown of why expert predictions for AGI's arrival diverge by decades. We highlight the underlying assumptions that cause experts to look at the same data…
• SK하이닉스와 AI: 하나의 사슬로 읽는 주가, 그리고 그 사슬을 끊을 수 있는 것들An explanation of what AI semiconductor HBM is and why it directly connects to SK Hynix's stock price via the supply chain, along with points where…
• AI는 거품인가: 같은 숫자를 보고 정반대를 외치는 두 진영A breakdown of how bulls and bears read the exact same earnings numbers in the AI bubble debate, and which metrics matter most when making your…
• 직장인을 위한 AI 추천: 챗GPT·클로드·제미나이 실무 활용 비교A practical workplace comparison of ChatGPT, Claude, and Gemini. Find out which AI model excels at drafting documents, research, and daily office tasks.

Dev 17

AI coding tools, Python, web performance and developer careers. Only what actually makes the work faster.

• 퀀트 개발자 대우: '억대 연봉'이라는 말에서 빠진 세 가지Quant developer pay broken down by role, seniority and firm. The gap against traders and researchers, what a 50–75% bonus share really means, Korean hiring benchmarks,…
• AI 에이전트에게 저장소 권한을 어디까지 줄 것인가How far to open a repository to a coding agent, sorted by how hard each action is to undo, plus the account separation, branch protection and…
• 딥러닝 추론 최적화: 학습은 끝났는데 서빙이 느릴 때, 무엇부터 손대나A step-by-step guide on what to tackle first when training is finished but serving is slow. Covers profiling, reducing precision, dynamic batching, and infrastructure selection.
• 클라우드 GPU 가격 비교: 시간당 단가보다 먼저 봐야 하는 것들Starting from why computer vision workloads differ from LLMs, this post outlines what to check before hourly rates and the hidden costs when choosing cloud GPUs.
• 백테스트 도구 비교: Vectorbt·Backtrader·Freqtrade, 무엇으로 갈리나Compare three backtesting tools for automated trading strategies across speed, ease of implementation, and live execution readiness — plus common pitfalls that invalidate backtests.
• AI 코딩 도구는 내 저장소를 어떻게 읽는가Exploring why different tools yield different answers using the same model through indexing, search, and context assembly, and how to improve results in large repositories.
• GitHub Copilot 설정: 기본값으로 쓰면 절반만 쓰는 것이다Simply installing Copilot and leaving it on default settings means missing out on half its value. Here is a guide covering editor-specific setups, practical prompts for…
• AI 코딩 도구 비교: 작업이 바뀌면 순위가 뒤집힌다A comparison of Cursor, GitHub Copilot, Claude Code, Windsurf, and Codeium based on architectural differences, highlighting where they diverge in greenfield development, understanding existing code, and…
• Docker 사용법 입문: 개발 환경이 '내 컴퓨터에서만 되는' 문제를 끝내는 도구An introductory guide to Docker: starting with the exact problems it solves, covering images, containers, running your first container, writing a Dockerfile, and using Docker Compose.
• Cloudflare 무료 설정: 순서를 지키지 않으면 통계와 차단이 같이 망가진다A step-by-step guide to speeding up your site using only Cloudflare's free plan. We also cover why getting the order wrong will break both your visitor…
• 개발자 VPS 추천: 사이드프로젝트 서버는 사양이 아니라 관리 부담으로 고른다Compare servers for side projects from free hosting to VPS by use case, and learn how to choose based on region, backup, and management burden, along…
• Python 실무 팁: 문법 자랑이 아니라, 코드가 짧아지고 빨라지는 것만20 practical Python tips that actually reduce code size and boost performance in production, complete with before/after examples. We also draw the line where optimization starts…
• 코어 웹 바이탈 개선: 점수를 올리는 순서는 지표 순서와 다르다We cover what each of the three Core Web Vitals measures, and outline high-impact optimizations in the order of measurement → identifying bottlenecks → taking action.
• 같은 '개발자'인데 통장은 두 배 차이: 개발 분야별 연봉We break down why developer salaries can vary by up to 2x depending on the field. Compare backend, frontend, infrastructure, and data to see which pays…
• 아이폰 터미널 앱 추천: '뭐가 제일 좋냐'가 아니라 '언제 쓸 거냐'로 고른다A guide to choosing the best iPhone terminal app based on when you need it—not just which one is overall 'best.' Criteria for SSH access, server…
• AI 때문에 개발자 취업난? 데이터로 본 '진짜 위기'와 '가짜 공포'We examined job postings and entry-level data to see if the developer hiring slump is truly caused by AI. Here is a clear breakdown separating actual…
• 개발자용 VPN 추천: 원격근무·해외 서버 접속 실사용 성능 비교A comparison of developer VPNs based on real-world performance for remote work and connecting to overseas servers. Evaluates internal network bypasses, latency, and regional server quality.

Devices 14

Laptops, monitors, speakers and iPhones. How to choose based on where your work stalls, not on spec sheets.

• 애플이 9월 9일을 잡았다 — 접히는 아이폰과, 팀 쿡 없는 첫 무대Apple's confirmed 9 September 2026 event, expected iPhone 18 Pro specifications, the price talk around the first foldable iPhone, and a new CEO's first keynote.
• 노이즈 캔슬링은 어떻게 소음만 지우는가How phase inversion cancels noise, why only low and regular sounds disappear cleanly, and why ear tip seal is half the performance.
• 비싼 스피커는 정말 돈값을 하는가An overview of how money is spent on drivers, enclosures, and crossovers, where the perceived differences drop off, and why room placement matters more.
• 엣지 AI 보드 추천: Jetson·Coral·라즈베리 파이 5, 무엇으로 갈리나We break down how to choose between Jetson Orin Nano, Coral USB, and Raspberry Pi 5 for edge AI inference, focusing on accelerator architecture and development…
• 카카오톡 용량 줄이기: 대화와 사진을 지우지 않고 비우는 쪽Explaining how KakaoTalk consumes smartphone storage and providing a step-by-step guide to freeing up space by clearing only the cache without deleting chats or photos.
• 컴퓨터 속도 향상: 부품을 바꾸기 전에 확인할 윈도우 설정We've compiled five Windows settings to check before upgrading hardware, ranked by impact, and identified the point where software fixes reach their limit.
• 스팸 전화 차단: 두낫콜이 막아주는 것과, 두낫콜로는 못 막는 것The difference between Korea's two Do Not Call registries and how to register on each, plus the fallbacks for the illegal spam they cannot stop.
• 브라우저 확장 프로그램은 내 화면을 어디까지 보는가A guide on the actual meaning of extension permission messages, how legitimate extensions turn malicious, and a 10-minute security audit checklist.
• 아이폰 저장공간 늘리기: 사진을 지워도 용량이 안 늘어나는 이유We explain why storage doesn't increase even after deleting photos and list proven methods to actually reduce mysterious System Data.
• 클라우드 저장소는 요금보다 정책에서 갈린다Pricing for Google, Apple, Microsoft and Naver cloud storage, plus the policy differences that actually decide the choice: original photo storage, family sharing and what happens…
• NAS, 집안 속 작은 클라우드A complete guide to setting up a NAS, from choosing the right components to completing your home cloud. We also cover whether to choose a pre-built…
• 모니터 : '패널 값'과 '책상 값', 예산을 어디에 쓸지부터 정하라A guide on how to allocate your budget between panel quality and desk setup when choosing a 32-inch 4K monitor. Covers panel types, refresh rates, monitor…
• 애플케어플러스부터 통신사·삼성 케어까지: '기기 보험'은 언제 이득이고 언제 손해인가We compare AppleCare+ with carrier insurance and Samsung Care to see when it's worth it and when it's a waste, outlining decision rules based on device…
• 작업 분야별 노트북 추천: '최고의 노트북'은 없다, 당신의 작업이 어디서 막히는지가 있을 뿐A breakdown of developer laptop recommendations by field. We explain how to choose based on where your workflow bottlenecks, rather than chasing top specs.

Culture 13

IMAX, Dolby, Sphere and festivals. Where technology meets culture — and the work and careers alongside it.

• 디지털 노마드의 꿈은 왜 사상 최대 규모에서 가장 어려워졌나: 2026년의 현실디지털 노마드를 둘러싼 2026년의 진실은 하나의 역설로 요약된다. 이 삶은 그 어느 때보다 인기 있고, 동시에 그 어느 때보다 어렵다. 인스타그램 속 해변 코워킹…
• 코첼라를 굴리는 건 라인업이 아니다: 사막에 3일간 세워지는 IT 인프라The technology that actually runs Coachella: RFID wristband payments, desert telecom infrastructure and 129TB of traffic, how the 2012 Tupac set worked, Anyma's stage production, and…
• 게임스컴 2026, 부스가 처음으로 다 팔렸다 — 그리고 한국 게임이 앞줄에 섰다The scale of Gamescom 2026, which opened on 26 August, and everything revealed at Opening Night Live. NCSoft, Krafton and Pearl Abyss lineups alongside the international…
• 드론 1천 대는 어떻게 안 부딪히고 그림을 그리나Paths computed and loaded before the show, how RTK delivers centimetre precision, and what makes a drone drop out or a show get cancelled.
• 라스베이거스 스피어, 건물 하나가 화면이 되면The structure of a building whose entire skin is a curved screen, the interior screen that fills your field of view, directional audio, and the limits…
• 타임스퀘어 전광판의 비밀: 광고를 강제하는 거리Why New York zoning mandates billboards, the LUTS brightness rule, outdoor LED technology, and what drives the price of a slot.
• 애플 뮤직과 스포티파이: 같은 노래, 다른 서비스Lossless policy, recommendation engines and device support: the real differences between the two music streaming services, criterion by criterion.
• 돌비 시네마는 무엇이 다른가: 어두운 극장이 만드는 화질An overview of Dolby Cinema's dual-modulation laser projection, Atmos sound, and theater design, comparing it directly to IMAX.
• 화면 속 IT 기기는 우연이 아니다: 석세션·종이의 집·미스터 로봇이 기기로 말하는 것We look at how the IT devices used by characters in TV shows and movies are chosen. Covers everything from Apple's 'no villains' rule to product…
• 연봉만 보고 회사를 고르면 실제로 받는 돈을 놓친다Why take-home pay differs on identical salaries, organised around social insurance, tax and benefits. The items to check before you negotiate.
• 그래픽 디자이너: 한국은 지금, 그리고 해외는An overview of the graphic designer outlook, comparing job postings in Korea with global markets. We break down which tasks AI tools have actually reduced and…
• 자비스부터 버키의 팔까지: 마블 디지털 장비 실현도We examine how close Marvel's digital gear has come to reality with today's technology, covering Jarvis, Bucky's prosthetic arm, and holographic interfaces.
• 냉장고로도 볼 수 있는 시대에, 왜 1년 전부터 표를 사는가: 디지털 시대 아이맥스의 의미We break down the differences between IMAX and regular theaters based on aspect ratio, film format, and sound. We also highlight which movies are actually worth…