[B! reinvent] kakku22ã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

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reinventã«é–¢ã™ã‚‹kakku22ã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (11)

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AWS re:Inventçš†å‹¤è³žã®ç§ãŒã»ã‚“ã¨ã¯æ•™ãˆãŸããªã„re:Inventå®Œå…¨æ”»ç•¥ã‚¬ã‚¤ãƒ‰2023 - yoshidashingo
å‰ç”°çœŸå¾ï¼ˆ@yoshidashingoï¼‰ã§ã™ã€‚ AWS re:Invent 2022ã¸ã®å‚åŠ ãŠã¤ã‹ã‚Œã•ã¾ã§ã—ãŸã€‚ã‚ãŸã—ã¯2012å¹´ã®åˆå›žå‚åŠ ã‹ã‚‰2022å¹´ã¾ã§ã€2020å¹´ã®ã‚ªãƒ³ãƒ©ã‚¤ãƒ³ã®ã¿ã®é–‹å‚¬ã‚’é™¤ãã€åˆè¨ˆ10å›ž AWS re:Invent ã«å‚åŠ ã—ã¦ã„ã¾ã™ã€‚ä¸–ç•Œã§ã‚‚çã—ã„çš†å‹¤è³žã§ã™ã€‚ ãã‚“ãªã‚ãŸã—ãŒæ¥å¹´ã«å‘ã‘ã¦ã™ã¹ã¦ã®çŸ¥è¦‹ã‚’ã“ã“ã«ç½®ã„ã¦ãŠãã¾ã™ã€‚ã¿ãªã•ã‚“ã«ã¨ã£ã¦ã®ãƒ¯ãƒ³ãƒ”ãƒ¼ã‚¹ã§ã™ã€‚ã“ã¾ã‹ã„èª¬æ˜ŽãŒãªã„ã¨ç†è§£ã—ã¥ã‚‰ã„éƒ¨åˆ†ã¯ä»Šå¾ŒåŠ ç†ã™ã‚‹ã‹ã‚‚ã—ã‚Œãªã„ã§ã™ãŒã€ä¸€è¨€ä¸€å¥ã«æ„å‘³ãŒã‚ã‚‹ã®ã§ä½•åº¦ã‚‚èªã¿è¿”ã—ã¦ã²ã¨ã¤ã‚‚ä½™ã•ãšã«å–ã‚Šå…¥ã‚Œã¦ã‚‚ã‚‰ã†ã“ã¨ã‚’å¼·ãæŽ¨å¥¨ã—ã¾ã™ã€‚ AWS re:Invent 2023 ã¯ 2023/11/27(æœˆ)ã€œ12/1(é‡‘) ã«é–‹å‚¬ã•ã‚Œã¾ã™ 2023/7/8(åœŸ)è¿½è¨˜ï¼šæ˜¨æ—¥ã‹ã‚‰Japanãƒ„ã‚¢ãƒ¼ãŒå‹Ÿé›†é–‹å§‹ã•ã‚ŒãŸãã†ã ã€æ‰‹ç¶šãæ¼ã‚Œã‚„ãƒˆãƒ©ãƒ–ãƒ«å°‘ãªãä¼æ¥ã¨ã—ã¦å‚åŠ ã—ãŸã„å ´åˆã«ã¯è³¼å…¥ã‚’ãŠã™ã™ã‚ã™ã‚‹ã€‚
kakku22 2022/12/05
aws

reinvent
ãƒªãƒ³ã‚¯
Observability for Modern Applications (CON306-R1) - AWS re:Invent 2018
kakku22 2020/04/06
Observability ã¨æ›¸ã„ã¦ã‚ã‚‹ã‘ã©ï¼ŒAutodesk ç¤¾ã®ãƒ•ãƒ«ã‚¹ã‚¿ãƒƒã‚¯ãªäº‹ä¾‹ã¨ AppMesh ã®ãƒªãƒªãƒ¼ã‚¹ç›´å¾Œã®è§£èª¬ãŒãƒ¡ã‚¤ãƒ³

aws

reinvent

appmesh

observability
ãƒªãƒ³ã‚¯
Choosing the Right Messaging Service for Your Distributed App (API305) - AWS re:Invent 2018
kakku22 2020/04/03
äº‹ä¾‹ã”ã¨ã«ãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ãƒ³ã‚°ã‚µãƒ¼ãƒ“ã‚¹ã‚’ã©ã†ä½¿ã„åˆ†ã‘ã‚‹ã‹ï¼Ÿä»•çµ„ã¿ã‚‚ Dive Deep ã—ã¦ã¦ã‹ãªã‚Šè‰¯ã„ã‚»ãƒƒã‚·ãƒ§ãƒ³ï¼

aws

reinvent

sqs

sns

kinesis
ãƒªãƒ³ã‚¯
AWS re:Invent 2016: From Monolithic to Microservices: Evolving Architecture Patterns in the Cloud (ARC305)
kakku22 2020/03/06
aws

microservices

reinvent
ãƒªãƒ³ã‚¯
Using Containers and Serverless to Deploy Microservices (ARC214) - AWS re:Invent 2018
kakku22 2019/10/20
ã‚³ãƒ³ãƒ†ãƒŠã¨ã‚µãƒ¼ãƒãƒ¬ã‚¹ã‚’æ±ºã‚ã‚‹ Decision Tree ãŒè¼‰ã£ã¦ã‚‹ã®è‰¯ã„

aws

reinvent

container

serverless

ecs

lambda
ãƒªãƒ³ã‚¯
Capacity Management Made Easy with Amazon EC2 Auto Scaling (CMP377) - AWS re:Invent 2018
Capacity Management Made Easy with Amazon EC2 Auto Scaling (CMP377) - AWS re:Invent 2018 This document discusses Amazon EC2 Auto Scaling and how it can be used to automatically scale Amazon EC2 capacity up or down based on user-defined policies. Auto Scaling helps maintain application availability and allows scaling capacity out across availability zones. It allows grouping instances by criteria l
kakku22 2019/09/13
aws

autoscaling

reinvent
ãƒªãƒ³ã‚¯
Advanced Continuous Delivery Best Practices (DEV317-R1) - AWS re:Invent 2018
kakku22 2019/08/27
aws

reinvent

devops

ci

cd
ãƒªãƒ³ã‚¯
Pause and Resume your EC2 Instances with Hibernate (CMP392) - AWS re:Invent 2018
kakku22 2019/05/28
aws

ec2

reinvent
ãƒªãƒ³ã‚¯
[REPEAT 1] Elastic Load Balancing: Deep Dive and Best Practices (NET404-R1) - AWS re:Invent 2018
[REPEAT 1] Elastic Load Balancing: Deep Dive and Best Practices (NET404-R1) - AWS re:Invent 2018 Elastic Load Balancing (ALB & NLB) automatically distributes incoming application traffic across multiple Amazon EC2 instances for fault tolerance and load distribution. In this session, we go into detail on ELB configuration and day-to-day management. We also discuss its use with Auto Scaling, and we
kakku22 2019/04/17
aws

alb

reinvent
ãƒªãƒ³ã‚¯
Amazon.com - Replacing 100s of Oracle DBs with Just One: DynamoDB - ARC406 - re:Invent 2017
kakku22 2019/02/05
aws

amazon

dynamodb

oracle

reinvent
ãƒªãƒ³ã‚¯
AWS re:Invent breakout session 1æ—¥ç›® - ã™ãšã‘ã‚“ãƒ¡ãƒ¢
re:Invent 2014 breakout session 1æ—¥ç›® å€‹äººçš„ã«ãƒ¡ãƒ¢ã£ã¦ãŠãã¾ã™ã€‚ Keynoteã§ã¯ã€AuroraãŒã§ãŸã‚ŠConfigã ã£ãŸã‚ŠCodeDeployã ã£ãŸã‚ŠãŒã§ã¾ã—ãŸã€‚ç´°ã‹ã„æ©Ÿèƒ½ã®è©±ã¯å‚ç…§ã—ã¦ãŠã„ã¦ã€æ‰€æ„Ÿä¸å¿ƒã§ã€‚ è´ã„ãŸã‚»ãƒƒã‚·ãƒ§ãƒ³ã¯ä»¥ä¸‹ã®ã¨ãŠã‚Šã€‚ SDD406 -- Amazon EC2 Instances Deep Dive SDD415 NEW LAUNCH: Amazon Aurora: Amazonâ€™s New Relational Database Engine BDT403 - Netflix's Next Generation Big Data Platform BDT402 -- Performance Profiling in Production: Analyzing Web Requests at Scale Using Amazon
kakku22 2014/11/14
AWS

reinvent
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