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uokada 2024/10/16
development

management

engineering
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Netflix Open Sources Maestro, a Next-Gen Data Workflow Engine
Join our community of software engineering leaders and aspirational developers. Always stay in-the-know by getting the most important news and exclusive content delivered fresh to your inbox to learn more about at-scale software development.
uokada 2024/08/09
Netflix

software

development

engineering
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ADRã‚’ä¸€å¹´é‹ç”¨ã—ã¦ã¿ãŸ/adr_after_a_year
PHPã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹å°ç”°åŽŸ2024ã®ç™»å£‡è³‡æ–™ã§ã™ã€‚ https://fortee.jp/phpconodawara-2024/proposal/56218b4f-b724-4199-82f1-67497501a9ef ADRã¨ã¯ãªã«ã‹ï¼Ÿ ãªãœã€å°Žå…¥ã™ã‚‹å¿…è¦ãŒã‚ã‚‹ã®ã‹ï¼Ÿ å®Ÿéš›ã«å°Žå…¥ã—ã¦ã¿ã¦â€¦
uokada 2024/05/30
engineering

documentation

Architecture Decision Records
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ç™ºè¡¨è³‡æ–™ã€Œæ—¥ä»˜æ™‚åˆ»A to Zã€ã‚’å…¬é–‹ã—ã¾ã—ãŸ | Wantedly Engineer Blog
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uokada 2024/03/15
engineering
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2023å¹´12æœˆ20æ—¥ã«é–‹å‚¬ã•ã‚ŒãŸDatabase Engineering Meetup #1ã§ã® LT è³‡æ–™ã§ã™ã€‚
uokada 2023/12/25
database

engineering
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ã€ãƒ¡ãƒ¢ã€‘è‰¯ã„Design Docs(Software Design Document)ã‚’æ›¸ããŸã‚ã®ãƒªã‚½ãƒ¼ã‚¹é›†
è‡ªåˆ†ãŒè‰¯ã„ Design Docs(Software Design Document)ã‚’æ›¸ããŸã‚ã«ã€èªã‚“ã /å‚è€ƒã«ãªã£ãŸãƒªã‚½ãƒ¼ã‚¹é›† ä¸€è¦§ Design Docs ã¨ã¯ Design Docs at Google ãƒ‡ã‚¶ã‚¤ãƒ³ãƒ‰ãƒƒã‚¯(Design Doc)ã«ã¤ã„ã¦ ãƒ‡ã‚¶ã‚¤ãƒ³ãƒ‰ãƒƒã‚¯ã§å¦ã¶ãƒ‡ã‚¶ã‚¤ãƒ³ãƒ‰ãƒƒã‚¯ æ®‹æ¥ã‚‚æ¸›ã‚‰ã›ã‚‹!? ä¸Šç´šã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã«ãªã‚‹ãŸã‚ã® Design Doc è¶…å…¥é–€ ã€ŒDesign Docã€ã£ã¦ä½•ãªã®ã‹ï¼Ÿ What Is A Design Doc In Software Engineering? (full example) What is a Design Doc: Software Engineering Best Practice #1 https://github.com/kaiinui/note/blob/master/Design--Designdoc.md Googleã®
uokada 2023/04/06
design document

design

document

engineering
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Platform Engineeringã¸ã®æ‹›å¾…
ç¬¬1å›ž Platform Engineering Meetupã§ç™ºè¡¨ã—ãŸè³‡æ–™ã§ã™ã€‚ #PFEM
uokada 2023/03/17
engineering
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uokada 2023/01/19
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engineering

technology
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è¦æ¨¡æ„Ÿã®é•ã†è„±ãƒ¬ã‚¬ã‚·ãƒ¼ã§å¿…è¦ãªã“ã¨ - memo_md
ã€Œãƒ¬ã‚¬ã‚·ãƒ¼ã€ã‚’ä¿å®ˆã—ãŸã‚Šã€åˆ·æ–°ã—ãŸã‚Šã™ã‚‹ã«ã‚ãŸã‚Šå¾—ã‚‰ã‚ŒãŸçŸ¥è¦‹ãƒ»ãƒŽã‚¦ãƒã‚¦ãƒ»è‹¦åŠ´è©± by Works Human Intelligence Advent Calendar 2022 ã® 15æ—¥ç›®ã®è¨˜äº‹ã§ã™ã€‚ qiita.com ç†è€…ã¯éŽåŽ»ã«ã€ä¸ã€œå°è¦æ¨¡ã®Webã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã§ãƒ¬ã‚¬ã‚·ãƒ¼ãƒ•ãƒãƒ³ãƒˆã‚¨ãƒ³ãƒ‰ã®æ”¹å–„ä½œæ¥ã‚’æ¥å‹™ã§ã‚„ã£ã¦ã„ãŸã€‚ãã®çµŒé¨“ã‚’å…ƒã«æŠ€è¡“åŒäººèªŒã‚’ä½œæˆã—ã€ãã‚ŒãŒãã£ã‹ã‘ã§ã€Œãƒ¬ã‚¬ã‚·ãƒ¼ãƒ•ãƒãƒ³ãƒˆã‚¨ãƒ³ãƒ‰å®‰å…¨æ”¹å–„ã‚¬ã‚¤ãƒ‰ã€ã¨ã„ã†æ›¸ç±ã‚’å‡ºã—ãŸã€‚ åˆç‰ˆã‹ã‚‰æ•°å¹´çµŒã£ã¦ã—ã¾ã„ã€è©³ç´°ãªåˆ©ç”¨æŠ€è¡“ãªã©ã®èª¬æ˜Žã¯å°‘ã—å¤ããªã£ã¦ã—ã¾ã£ã¦ã„ã‚‹ã®ã ãŒã€ãƒ™ãƒ¼ã‚¹ã¨ãªã‚‹è€ƒãˆæ–¹ã®éƒ¨åˆ†ã¯ä»Šã§ã‚‚å¤‰ã‚ã£ã¦ã„ãªã„ã¨æ€ã†ã€‚ ä¸€æ–¹ã§è‡ªåˆ†è‡ªèº«ã¯ã€ãã®çµŒé¨“ãŒä»–ã®ç’°å¢ƒã§ã‚‚é€šç”¨ã™ã‚‹ã®ã‹ã‚’è©¦ã—ã¦ã¿ãŸããªã‚Šã€è»¢è·ã—ã¦ä¸€å¹´å¼·ã»ã©å¤§è¦æ¨¡ãªãƒ•ãƒãƒ³ãƒˆã‚¨ãƒ³ãƒ‰åˆ·æ–°ã«é–¢ã‚ã£ã¦ã„ãŸã€‚ ã‚ã¾ã‚Šã«ã‚‚è¦æ¨¡ãŒå¤§ãã„ãŸã‚å®Œé‚ã‚’è¦‹å±Šã‘ãŸã‚ã‘ã§ã‚‚ãªã„ãŒã€ç¾æ®µéšŽã§ã‚‚å¦ã³ã‚„å¾—ã‚‰ã‚ŒãŸã‚‚ã®ã¯
uokada 2022/12/28
development

engineering

legacy
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Data Integration and Machine Learning at SIGMOD 2018
uokada 2021/03/04
Data engineering

engineering
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Building On-Call Culture at GitHub
EngineeringBuilding On-Call Culture at GitHub GitHubâ€™s engineering group moved from a monolithic, hero-based on-call rotation to a more balanced on-call culture in order to increase our on-call expertise and improve the experience for our customers. As GitHub grows in size and our product offerings grow in number and complexity, we need to constantly evolve our on-call strategy so we can continue t
uokada 2021/01/25
GitHub

engineering
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çŸ¥ã‚‰ãªã„Webã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã®é–‹ç™ºã«é€”ä¸ã‹ã‚‰JOINã—ãŸã¨ãã€ã©ã“ã‹ã‚‰åˆ‡ã‚Šè¾¼ã‚€ã‹ï¼Ÿ / PHPerKaigi 2020
https://fortee.jp/phperkaigi-2020/proposal/c8d6b9b1-29e4-48bd-b8bd-9f43f74d6265
uokada 2020/10/12
web

development

management

engineering
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Nemo: Data discovery at Facebook
Large-scale companies serve millions or even billions of people who depend on the services these companies provide for their everyday needs. To keep these services running and delivering meaningful experiences, the teams behind them need to find the most relevant and accurate information quickly so that they can make informed decisions and take action. Finding the right information can be hard for
uokada 2020/10/10
data

engineering

facebook

architecture
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ä»Šå¹´èªã‚“ã æŠ€è¡“æ›¸ç±ï¼ˆ2019å¹´ï¼‰
ä»Šå¹´èªã‚“ã æŠ€è¡“æ›¸ç±ã‚„ãƒ¬ãƒãƒ¼ãƒˆãªã©ã‚’ã–ã£ãã‚Šã¾ã¨ã‚ã¦ã‚‹ï¼ŽInfrastructure Engineerãƒ»Platfomerã¨ã—ã¦æ—¥ã€…ã®æ¥å‹™ã«ç›´çµã™ã‚‹ã‚‚ã®ã‹ã‚‰1å¹´ãã‚‰ã„ã‹ã‘ã¦ã‚„ã£ã¦ã„ããŸã„ã¨æ€ã£ã¦ã„ã‚‹ã“ã¨ãªã©ã‚’ä¸å¿ƒã«ï¼Ž Kubernetes æ¥å‹™ã§ã¯ãƒ¡ã‚¤ãƒ³ã«Kubernetesã‚’ä½¿ã£ã¦ã„ã‚‹ã®ã§Kubernetesã«é–¢ã‚ã‚‹æ›¸ç±ã¯ç™ºå£²ã•ã‚Œã‚Œã°å¤§ä½“ç›®ã‚’é€šã™ã‚ˆã†ã«ã—ã¦ã„ã‚‹ï¼Ž ä»Šå¹´ç™ºå£²ã•ã‚ŒãŸã®ã§è‰¯ã‹ã£ãŸã®ã¯Programming Kubernetesï¼Žã“ã®æœ¬ã¯CRDã‚„Operatorã«ã‚ˆã£ã¦Kubernetes nativeãªã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚’æ§‹ç¯‰ã™ã‚‹ã“ã¨ã«ãƒ•ã‚©ãƒ¼ã‚«ã‚¹ã—ã¦ã„ã‚‹ï¼Žæ˜¨å¹´ã®JapanContainerDaysã§ã®Microservices Platform on Kubernetes at Mercariã§ã‚‚è©±ã—ãŸã‚ˆã†ã«Kubernetesã‚’ä½¿ã†å¤§ããªç†ç”±ã®1ã¤ã¯ãã®æ‹¡å¼µæ€§ã«ã‚ã‚‹ï¼ŽKubebu
uokada 2020/01/15
engineering

kubernetes

microservices

infrastructure
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Presto Infrastructure at Lyft
OverviewEarly in 2017 we started exploring Presto for OLAP use cases and we realized the potential of this amazing query engine. It started as an adhoc querying tool for data engineers and analysts to run SQL in a faster way to prototype their queries, when compared to Apache Hive. A lot of internal dashboards were powered by AWS-Redshift back then and it had data storage and compute coupled toget
uokada 2019/08/26
presto

Lyft

engineering

data
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Data Engineering at SmartNews
2019å¹´3æœˆ8æ—¥ã®Machine Learning Casual Talks #9ã§è©±ã—ãŸè³‡æ–™ã§ã™ https://mlct.connpass.com/event/120451/
uokada 2019/03/14
engineering

data
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è»½é‡ãªTime-based IDç”Ÿæˆå™¨â€shakeflake(ä»®ç§°)â€ã«ã¤ã„ã¦ - SmartNews Engineering Blog
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uokada 2019/02/05
id

engineering

snowflake
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Uberâ€™s Big Data Platform: 100+ Petabytes with Minute Latency
Data / ML, EngineeringUberâ€™s Big Data Platform: 100+ Petabytes with Minute LatencyOctober 17, 2018 / Global Uber is committed to delivering safer and more reliable transportation across our global markets. To accomplish this, Uber relies heavily on making data-driven decisions at every level, from forecasting rider demand during high traffic events to identifying and addressing bottlenecks in our
uokada 2018/10/22
data

engineering
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Using Machine Learning to Improve Streaming Quality at Netflix
by Chaitanya Ekanadham One of the common questions we get asked is: â€œWhy do we need machine learning to improve streaming quality?â€ This is a really important question, especially given the recent hype around machine learning and AI which can lead to instances where we have a â€œsolution in search of a probl em.â€ In this blog post, we describe some of the technical challenges we face for video stream
uokada 2018/03/23
Netflix

engineering
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uokada 2018/03/22
engineering
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