The programmable data streaming platformAn open-source data streaming platform with in-line computation capabilities. Apply your custom programs to aggregate, correlate, and transform data records in real-time as they move over the network.
GitHub - iterative/cml: â™¾ï¸ CML - Continuous Machine Learning | CI/CD for ML
What is CML? Continuous Machine Learning (CML) is an open-source CLI tool for implementing continuous integration & delivery (CI/CD) with a focus on MLOps. Use it to automate development workflows — including machine provisioning, model training and evaluation, comparing ML experiments across project history, and monitoring changing datasets. CML can help train and evaluate models — and then gener
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í† í† ì‚¬ì´íŠ¸ ìµœê³ ì˜ ë©”ì´ì €ë†€ì´í„° 추천 - 2024ë…„ 3ì›” 순위
í† í† ì‚¬ì´íŠ¸ í† í† ì‚¬ì´íŠ¸ 스í¬ì¸ ì´ë²¤íŠ¸ì˜ ë°°ë‹¹ë¥ ë„ ê° íŒ€ì— ë² íŒ…í•œ ê¸ˆì•¡ì„ ë°˜ì˜í•˜ì—¬ 변경ë˜ë©°ì¼ë¶€ 스í¬ì¸ ë¶ì€ 다른 스í¬ì¸ ë¶ì— 비해 ë°˜ì‘ ì†ë„ê°€ ëŠë ¤ ë² í„°ì—게 ë¹ ë¥´ê²Œ 우위를 ì í• ìˆ˜ 있는 기회를 ì œê³µí•©ë‹ˆë‹¤. ë˜í•œ ì–´ëŠ ìŠ¤í¬ì¸ ë¶ì´ Kambi와 ê°™ì€ ê³µê¸‰ì—…ì²´ë¡œë¶€í„° ë°°ë‹¹ë¥ ì„ ì•„ì›ƒì†Œì‹±í•˜ëŠ”ì§€, ìžì²´ ë°°ë‹¹ë¥ ì„ ìžì²´ì 으로 ê´€ë¦¬í•˜ëŠ”ì§€ì— ë”°ë¼ ë‹¤ë¦…ë‹ˆë‹¤. ì¼ë°˜ì 으로 가장 ìœ ì—°í•œ ì˜µì…˜ì„ ìœ„í•´ PointsBet ê³¼ ê°™ì€ ì‚¬ë‚´ ë°°ë‹¹ë¥ ê³¼ ê¸°ìˆ ì„ ê°–ì¶˜ 스í¬ì¸ ë¶ì„ 찾는 ê²ƒì´ ê°€ìž¥ 좋습니다 . ì´ëŸ¬í•œ 추세는 ë‰´ì €ì§€ì— ì†í•˜ì§€ 않으며 합법ì ì¸ ìŠ¤í¬ì¸ ë² íŒ…ì„ ìš´ì˜í•˜ëŠ” ëª¨ë“ ì£¼ì—ì„œ 2021ë…„ 기ë¡ì ì¸ ìˆ«ìžë¥¼ 기ë¡í–ˆìŠµë‹ˆë‹¤. 예ìƒëŒ€ë¡œ ì• ë¦¬ì¡°ë‚˜, 코네티컷, 네브래스카, 노스ìºë¡¤ë¼ì´ë‚˜, 사우스다코타, 버지니아 등 훨씬 ë” ë§Žì€ ì£¼ê°€ ë¯¸êµ ë² íŒ… í™˜ê²½ì˜ ì¼ë¶€ê°€ ë˜
The real difference between CI and CD - Fire CI
There is plenty of content out there describing what Continuous Integration, Continuous Delivery and Continuous Deployment are. But what are these processes for in the first place? It is crucial to understand the problems CI and CD solve to use them properly. It will allow your team to improve your process. And avoid putting effort chasing fancy metrics that do not bring any value to your process.
サーãƒãƒ¼ãƒ¬ã‚¹ã®åŸºæœ¬ã¨CI/CD構築 & é‹ç”¨ 〜システムã¯å‹•ã„ã¦ã‹ã‚‰ãŒæœ¬ç•ªã 〜
Developers.IO 2019 TOKYOã§ç™»å£‡ã—ãŸéš›ã®è³‡æ–™ã§ã™ã€‚ https://dev.classmethod.jp/event/report-developers-io-2019-tokyo-serverless-ci-cd-devops/Read less
CIマニアã‹ã‚‰è¦‹ãŸGitHub Actions(Beta)ã®ä½¿ã„所 - ãã‚Šã«ã£ã
1ヶ月ãらã„使ã£ã¦å‹˜æ‰€ãŒè¦‹ãˆã¦ããŸã®ã§ãƒ¡ãƒ¢ メリット 1リãƒã‚¸ãƒˆãƒªè¾ºã‚Š20並列ã¾ã§ã‚¸ãƒ§ãƒ–を並列実行ã§ãã‚‹ ジョブ実行時ã¯ã‚¢ã‚¯ã‚»ã‚¹ãƒˆãƒ¼ã‚¯ãƒ³ãŒå‹æ‰‹ã«è¨å®šã•ã‚Œã¦ã„ã‚‹ マトリクステストãŒã‚„ã‚Šã‚„ã™ã„ 実際ã«GitHub Actionsã«ç§»è¡Œã—ãŸãƒ—ãƒãƒ€ã‚¯ãƒˆ zatsu_monitor activerecord-compatible_legacy_migration index_shotgun デメリット yamlã®anchorãŒä½¿ãˆãªã„ マトリクステストã ã¨Slack通知ãŒã¤ã‚‰ã„ åˆã‚ã›ã¦èªã¿ãŸã„ メリット 1リãƒã‚¸ãƒˆãƒªè¾ºã‚Š20並列ã¾ã§ã‚¸ãƒ§ãƒ–を並列実行ã§ãã‚‹ ã“ã‚Œã«å°½ãる。 CircleCIã«ã—ã‚Travis CIã«ã—ã‚organization(user) *1å˜ä½ã§ä¸¦åˆ—æ•°ãŒç¸›ã‚‰ã‚Œã¦ã„ã‚‹ãŸã‚ã€ä¾‹ãˆã°åŒã˜userã®ä»–ã®ãƒªãƒã‚¸ãƒˆãƒªã§ã‚¸ãƒ§ãƒ–ãŒè©°ã¾ã£ã¦ã„ã‚‹ã¨åˆ¥ãƒªãƒã‚¸ãƒˆãƒªã§ã¯queueãŒè©°ã¾ã£ã¦ã‚¸ãƒ§ãƒ–ãŒå®Ÿè¡Œã•ã‚Œ
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社会ã®ã‚らゆる分野ã§ãƒ‡ã‚¸ã‚¿ãƒ«åŒ–ãŒé€²ã‚€ãªã‹ã€ãƒ“ジãƒã‚¹ã«ãŠã‘るソフトウェアã®é‡è¦æ€§ãŒå¢—ã—ã¦ã„ã¾ã™ã€‚ç›®ã¾ãã‚‹ã—ã変ã‚る消費者ã®å‹•å‘やビジãƒã‚¹ç’°å¢ƒã®å¤‰åŒ–ã«ã€æŸ”軟ã‹ã¤è¿…速ã«å¯¾å¿œã§ãるソフトウェア開発手法ã§ã‚る「アジャイルã€ãŒæ³¨ç›®ã•ã‚Œã‚‹ã®ã¨ä½µã›ã¦ã€ãƒ†ã‚¹ãƒˆã‚„デプãƒã‚¤ã‚’自動化ã—ã€ã‚ˆã‚ŠåŠ¹çŽ‡çš„ã§ã€ã‚¹ãƒ”ード感ã®ã‚る開発é‹ç”¨ç’°å¢ƒã‚’実ç¾ã™ã‚‹æ‰‹æ®µã§ã‚る「CI/CD（継続的インテグレーションï¼ç¶™ç¶šçš„デリãƒãƒªï¼‰ã€ã¸ã®é–¢å¿ƒã‚‚高ã¾ã‚Šã‚’見ã›ã¦ã„ã¾ã™ã€‚今回ã€OSSã®CI/CDツールã¨ã—ã¦è‘—åãªã€ŒJenkinsã€ã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆãƒªãƒ¼ãƒ‰ã‚’å‹™ã‚ã‚‹å·å£è€•ä»‹æ°ã¨ã€ãƒ¤ãƒ•ãƒ¼ã§OSSã®CI/CDワークフãƒãƒ¼æ§‹ç¯‰ãƒ„ールã§ã‚る「Screwdriverã€ã®é–‹ç™ºã«æºã‚ã‚‹ä¸å±±äº®ä»‹æ°ã€é«˜æ©‹ä¾‘也æ°ãŒã€ŒCI/CDを通ã˜ã¦æ—¥æœ¬ã®ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢é–‹ç™ºã‚’変ãˆã¦ã„ã方法ã€ã«ã¤ã„ã¦æ„見を交ã‚ã—ã¾ã—ãŸã€‚ ヤフーã§ã¯CI/CDツール「Screwdriverã€ã‚’ã©ã†ä½¿ã£ã¦ã„る？ å·
GitHub Actions ãŒãƒãƒ¼ãƒ³ãƒã•ã‚ŒãŸã®ã§ãƒžã‚¤ã‚°ãƒ¬ãƒ¼ãƒˆã—ã¦ã‚‹ - HsbtDiary(2019-08-11)
â– GitHub Actions ãŒãƒãƒ¼ãƒ³ãƒã•ã‚ŒãŸã®ã§ãƒžã‚¤ã‚°ãƒ¬ãƒ¼ãƒˆã—ã¦ã‚‹ GitHub ㌠GitHub Actions ã¨ã„ㆠbuilt-in CI/CD ã‚’ãƒãƒ¼ãƒ³ãƒã—ãŸã®ã§å¤ä¼‘ã¿1日目ã¯ã²ãŸã™ã‚‰è§¦ã£ã¦å®Œå…¨ç†è§£ã—ã¦ã„ãŸã€‚ https://github.com/features/actions ã“ã‚Œã€ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ã¯ Azure Pipelines 㧠public repository ã ã¨ç„¡æ–™ã€ä¸¦åˆ—æ•°ã‚‚ 20 ã¨ã„ã†å†…容ãªã®ã§ä»–ã® CI サービス㯠CPU/RAM ã§æ®´ã‚Šåˆã„ã—ã¦ã‚‚ MS ã«ã¯å‹ã¦ãªã„ã®ã§ã€Developer Experience(DX) ã§æˆ¦ã†ã—ã‹ãªããªã‚‹ã‚“ã ã‘ã©ã€ãã“ã‚‚ GitHub ãŒã¡ã‚ƒã‚“ã¨ãƒãƒ³ãƒ‰ãƒªãƒ³ã‚°ã™ã‚‹ã ã‚ã†ã‹ã‚‰ã€ä¸æœŸçš„ã«ã¯ã¨ã«ã‹ã厳ã—ã„戦ã„ã«ãªã‚‹ã¨æ€ã†ã€‚ã¦ã‹ã€æ’¤é€€ã˜ã‚ƒãªã„ã‹ãª...。 ã‚ã¨ã€ä»¥å‰ã«ãƒªãƒªãƒ¼ã‚¹ã—㟠HCL ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã® GitHub Actio
AWS Lambda CI/CD俺的ベストプラクティス - ãã‚Šã«ã£ã
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GitHub Actions now supports CI/CD, free for public repositories
AI & MLLearn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry. Generative AILearn how to build with generative AI. GitHub CopilotChange how you work with GitHub Copilot. LLMsEverything developers need to know about LLMs. Machine learningMachine learning tips, tricks, and best practices. How AI code generation worksExplore the capabilities and be
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reviewdog x perlcritic x Jenkins ã§æœ€é«˜ã® GitHub レビューライフ - Mirrativ Tech Blog
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CI/CD パイプラインを最速ã§çµ„ã¿ç«‹ã¦ã‚‹ãŸã‚ã® 4 ã¤ã®ãƒã‚¤ãƒ³ãƒˆ / Four points to assemble the CI CD pipeline fastest
CI/CD Test Night #4 ã®ç™»å£‡è³‡æ–™ã§ã™ã€‚ #cicd_test_night
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