Diving Deep on S3 Consistency
Diving Deep on S3 ConsistencyApril 20, 2021 • 1938 words I recently posted about Amazon S3 and how it’s evolved over the last 15 years since we launched the service in 2006 as “storage for the internet.†We built S3 because we knew customers wanted to store backups, videos, and images for applications like e-commerce web sites. Our top design priorities at the time were security, elasticity, relia
A Second Conversation with Werner Vogels – Communications of the ACM
CACM Web Account Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Sign In Sign Up When I joined Amazon in 1998, the company had a single U.S.-based website selling only books and running a monolithic C application on five servers, a handful of Berkeley DBs for key/va
2020å¹´ã®Apache Hadoop振り返り - Memo
Apache Hadoopã«ã¤ã„ã¦ã€2020å¹´ã«ã©ã‚“ãªã“ã¨ãŒã‚ã£ãŸã®ã‹ã–ã£ãã‚Šã¨æŒ¯ã‚Šè¿”ã‚ŠãŸã„ã¨æ€ã„ã¾ã™ã€‚Advent Calendaræž ã§ã™(大é…刻)。 Distributed computing (Apache Spark, Hadoop, Kafka, ...) Advent Calendar 2020 - Qiita Apache OzoneãŒåˆ†é›¢ オブジェクトストレージを担当ã™ã‚‹Ozoneã¯ã™ã§ã«Hadoop本体ã®ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ã‹ã‚‰ã¯åˆ†é›¢ã•ã‚Œã¦ã„ã¾ã—ãŸãŒã€æ–°è¦ã®TLP(Top-Level Project)ã¨ã—ã¦ã‚¹ãƒ”ンオフã—ã¾ã—ãŸã€‚2019å¹´ã«Apache SubmarineãŒTLPã«ãªã£ãŸã®ã‚’見ã¦ã€Ozoneã‚‚ã„ãšã‚Œãã†ãªã‚‹ã¨æ€ã£ã¦ã„ãŸã®ã§å€‹äººçš„ã«ã¯ç‰¹ã«é©šãã¯ãªã„ã§ã™ã€‚プãƒã‚¸ã‚§ã‚¯ãƒˆãŒåˆ†é›¢ã™ã‚‹ã¨å…·ä½“çš„ã«ä½•ãŒèµ·ã“ã‚‹ã‹ã¨ã„ã†ã¨ã€committerã‚„PMCãªã©ãŒåˆ¥ã€…ã«ãªã‚Šã¾ã™(ä»–ã«ã‚‚ã‚ã‚‹ã‘ã©
Amazon S3 Update – Strong Read-After-Write Consistency | Amazon Web Services
AWS News Blog Amazon S3 Update – Strong Read-After-Write Consistency When we launched S3 back in 2006, I discussed its virtually unlimited capacity (“…easily store any number of blocks…â€), the fact that it was designed to provide 99.99% availability, and that it offered durable storage, with data transparently stored in multiple locations. Since that launch, our customers have used S3 in an amazin
Static webhosting benchmark: AWS, Google, Firebase, Netlify, GitHub & Cloudflare
Static webhosting benchmark: AWS, Google, Firebase, Netlify, GitHub & Cloudflare Static websites are still a hot topic. They are fast, and they're incredibly secure because there isn't a CMS to hack. Once you build a static website, however, the question becomes: Where do I host? In other words: what is the fastest static website hosting provider in 2020? Well, let's find out! I did a similar test
Amazon S3 ã‚»ã‚ュリティベストプラクティスã®å®Ÿè·µï¼ˆæ¨©é™ç®¡ç†ã®ãƒãƒªã‚·ãƒ¼) – å‰ç·¨ | Amazon Web Services
Amazon Web Services ブãƒã‚° Amazon S3 ã‚»ã‚ュリティベストプラクティスã®å®Ÿè·µï¼ˆæ¨©é™ç®¡ç†ã®ãƒãƒªã‚·ãƒ¼) – å‰ç·¨ ã¯ã˜ã‚ã« AWS ã§ã¯ã€ã‚µãƒ¼ãƒ“ス毎ã«ã‚»ã‚ュリティã®ãƒ™ã‚¹ãƒˆãƒ—ラクティスを公å¼ãƒ‰ã‚ュメントã¨ã—ã¦æä¾›ã—ã¦ã„ã¾ã™ã€‚本記事ã§ã¯ AWS を利用ã—ãŸã‚·ã‚¹ãƒ†ãƒ ã®ã‚»ã‚ュリティã®æ¤œè¨Žã‚„実装ã«é–¢ã‚る皆様を対象ã«ã€AWS ã®ä»£è¡¨çš„ãªã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚µãƒ¼ãƒ“スã§ã‚ã‚‹ Amazon Simple Storage Service (S3) ã‚’é¡Œæã«ã¨ã‚Šã‚ã’ã¦ã€å…¬å¼ãƒ‰ã‚ュメントã§ç´¹ä»‹ã—ã¦ã„るベストプラクティスã®å®Ÿè£…方法をã§ãã‚‹ã ã‘具体的ã«è§£èª¬ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ IT ã‚»ã‚ュリティã«ãŠã„ã¦ã¯ã€ä¸€ã¤ã®è„†å¼±æ€§ã‚„悪æ„ãŒã‚»ã‚ュリティ事故ã«ç›´çµã—ãªã„よã†ã«ã‚·ã‚¹ãƒ†ãƒ を多層的ã«ä¿è·ã™ã‚‹äº‹ãŒé‡è¦ã§ã™ã€‚AWS ã«ãŠã„ã¦ã‚‚ã€ã‚µãƒ¼ãƒ“スãŒæä¾›ã™ã‚‹æ©Ÿèƒ½ã‚’é©æ‰€ã§ã”利用ã„ãŸã ã‘ã‚Œã°å¤šå±¤åŒ–ã•ã‚ŒãŸã‚»ã‚ュリティä¿è·ç–ã‚’ã€ã‚¯ãƒ©ã‚¦
November Five | Memorable Digital Experiences
November Five is where digital meets emotion. Here, we craft and bring to life memorable digital experiences that resonate, inspire and endure. With bespoke digital solutions we tap into innate desires and stir genuine emotion to let you stand out in a sea of sameness. Together we inspire loyalty, beyond satisfaction.
S3ã‹ã‚‰GCSã¸ã®ã‚³ãƒ”ーã«ã¤ã„㦠- Qiita
ã“ã®è¨˜äº‹ã¯ Recruit Engineers Advent Calendar 2016 ã®8日目ã®è¨˜äº‹ã§ã™ã€‚ ã¯ã˜ã‚ã« RLSã®@byaã§ã™ã€‚本記事ã§ã¯ã€S3ã‹ã‚‰GCSã¸ã‚³ãƒ”ーã«ã¤ã„ã¦æ›¸ãã¾ã™ é€ã‚‹æ–¹æ³• GCSã¸é€ã‚Šæ–¹ãŒï¼’ã¤ã‚ã‚‹ãŒã€ä»¥ä¸‹ã®ã‚ˆã†ãªä½¿ã„æ–¹ãŒåˆ†ã‹ã‚Œã‚‹ When transferring less than 1 TB of data, use gsutil. When transferring more than 10 TB of data, use Storage Transfer Service. For between 1 and 10 TB of data, use either gsutil or Storage Transfer Service. 大ããªé•ã„ Cloud Storage Transfer Serviceã§è»¢é€ã™ã‚‹ å‚考ページ https://cloud
廃æ¢äºˆå®šã®S3ç½²åãƒãƒ¼ã‚¸ãƒ§ãƒ³2API利用をCloudWatchEventã§æ¤œå‡ºã—ã¦ã¿ãŸ | DevelopersIO
ã¯ã˜ã‚ã« AWSãƒãƒ¼ãƒ ã®ã™ãšãã§ã™ã€‚ Amazon S3 ã€APIリクエストã®èªè¨¼æ™‚ã«åˆ©ç”¨ã•ã‚Œã‚‹ç½²åãƒãƒ¼ã‚¸ãƒ§ãƒ³2ã®å»ƒæ¢ãŒäºˆå®šã•ã‚Œã¦ã„ã¾ã™ã€‚ Amazon S3 ã«ãŠã‘ã‚‹ AWS ç½²åãƒãƒ¼ã‚¸ãƒ§ãƒ³ 2 ã®å»ƒæ¢ Amazon S3 ã«ãŠã‘ã‚‹ç½²åãƒãƒ¼ã‚¸ãƒ§ãƒ³ 2 ã¯å»ƒæ¢ã•ã‚Œã€ç½²åãƒãƒ¼ã‚¸ãƒ§ãƒ³ 2 ã®æœ€çµ‚サãƒãƒ¼ãƒˆã¯ 2019 å¹´ 6 月 24 æ—¥ã«çµ‚了ã—ã¾ã™ã€‚2019 å¹´ 6 月 24 日以é™ã€Amazon S3 ã¯ç½²åãƒãƒ¼ã‚¸ãƒ§ãƒ³ 4 を使用ã—ã¦ç½²åã•ã‚ŒãŸ API リクエストã®ã¿ã‚’å—ã‘ã¤ã‘ã¾ã™ã€‚ ã€è¶…é‡è¦ã€‘対応ã—ãªã„ã¨ä½¿ãˆãªããªã‚‹ã‹ã‚‚？ï¼ä»Šã€å…¨S3ユーザãŒãƒã‚§ãƒƒã‚¯ã™ã¹ãç½²åãƒãƒ¼ã‚¸ãƒ§ãƒ³ï¼’ã®å»ƒæ¢ã«ã¤ã„㦠今回ã€S3ã®ç½²åãƒãƒ¼ã‚¸ãƒ§ãƒ³2廃æ¢ã«ã‚ˆã‚Šå½±éŸ¿ã‚’å—ã‘るシステムã®æœ‰ç„¡ã‚’確èªã™ã‚‹ãŸã‚ã€S3ã®ã‚ªãƒ–ジェクトæ“作ãƒã‚°ã‚’CloudTrailã§è¨˜éŒ²ã—〠署åãƒãƒ¼ã‚¸ãƒ§ãƒ³2ã«è©²å½“ã™ã‚‹S3ã®æ“作ãƒã‚°ãŒå˜åœ¨ã—ãŸå ´åˆ Cloud
第25回 Hadoopソースコードリーディング 「HBase æœ€æ–°æƒ…å ±ã€
2. ⾃⼰紹介 鈴⽊ 俊裕(ã™ãšã ã¨ã—ã²ã‚) • Apache HBase Committer • Hortonworks • Sr. Software Engineer, Breakfix • サãƒãƒ¼ãƒˆãƒãƒ¼ãƒ ã§åƒã„ã¦ã„ã¾ã™ • エスカレーションã•ã‚ŒãŸã‚µãƒãƒ¼ãƒˆãƒã‚±ãƒƒãƒˆã®ãƒˆãƒ©ãƒ–ルシュー ティング • プãƒãƒ€ã‚¯ãƒˆã®ãƒã‚°ãƒ•ã‚£ãƒƒã‚¯ã‚¹(主ã«HBase/Phoenix) • 著書「HBase徹底⼊⾨〠• Twitter: @brfrn169 5. HBase 2.0 • 2018å¹´4⽉末ã«ãƒªãƒªãƒ¼ã‚¹ • 4å¹´å‰ã«2.0ã®ãƒ–ランãƒãŒä½œã‚‰ã‚ŒãŸ • 安定ã•ã›ã‚‹ã®ã«1年以上ã‹ã‹ã£ãŸ • hbase-2.0.0 released, April 29th, 2018 • hbase-2.0.0-beta2 released, March 22nd, 2018 • hbase-2.0.0-beta1 releas
November Five | Memorable Digital Experiences
November Five is where digital meets emotion. Here, we craft and bring to life memorable digital experiences that resonate, inspire and endure. With bespoke digital solutions we tap into innate desires and stir genuine emotion to let you stand out in a sea of sameness. Together we inspire loyalty, beyond satisfaction.
Build a Data Lake Foundation with AWS Glue and Amazon S3 | Amazon Web Services
AWS Big Data Blog Build a Data Lake Foundation with AWS Glue and Amazon S3 January 2025: This post was reviewed and updated for accuracy. The key to becoming a data driven business is by first having a modern data foundation, which begins with the concept of a data lake. A data lake has become the industry standard for storing structured and unstructured data at any scale. You can store your data
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Invenio-S3 — Invenio-S3 1.0.6 documentation
ncw/rclone: "rsync for cloud storage" - Google Drive, Amazon Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Cloudfiles, Google Cloud Storage, Yandex Files
Check the integrity of an object uploaded to Amazon S3
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GitHub - stevearc/pypicloud: S3-backed pypi server implementation
jep/jep/202 at master · jenkinsci/jep
GitHub - jenkinsci/artifact-manager-s3-plugin: Artifact manager implementation for Amazon S3
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