Keynote slides for JapanContainerDays v18.12 https://containerdays.jp In this presentation, I explained why Mercari decided to use Kubernetes for its…

This document discusses exactly once semantics in Apache Kafka 0.11. It provides an overview of how Kafka achieved exactly once delivery between producers and consumers. Key points include: - Kafka 0.11 introduced exactly once semantics with changes to support transactions and deduplication. - Producers can write in a transactional fashion and receive acknowledgments of committed writes from broke
昨日は「Microservices Casual Talks」に参加してきた.前日まで補欠35番目で厳しいかなーと思ったけど,奇跡的な繰り上がりで参加できた.本当に参加したくて祈り続けてたからその効果かも?w 「マイクロサービスアーキテクチャ」は Amazon で予約していたから既に届いてるんだけど,まだ読めてなくパラパラと開いた程度で,事前に読んでいればもっと理解できたなと後悔した. 開催側のポリシーに準じた範囲で,自分の意見も合わせて簡単にメモを残しておこうと思う.特に参考資料が多く出ていて,読めていないものもあるため,合わせてリンクしておこうと思う. connpass.com 『マイクロサービスアーキテクチャ』とAzure Service Fabric @satonaoki 開口一番「アズールじゃなくてアジュールです」には吹いた!最近 Docker Meetup もそうだけど,頻繁に
Aug 8, 2014Download as pptx, pdf243 likes61,641 viewsAI-enhanced description Microservices at Netflix have evolved over time from a single monolithic application to hundreds of fine-grained services. While this provides benefits like independent delivery, it also introduces complexity and challenges around operations, testing, and availability. Netflix addresses these challenges through tools like
Scaling Gilt: from monolith ruby app to micro service scala service architecture This document summarizes Yoni Goldberg's talk on Gilt's transition from a monolithic Ruby on Rails application to a distributed system of over 450 Scala microservices. Some of the key challenges they faced included scaling issues as traffic grew, difficulties deploying and testing changes across many interdependent se
Microservices: Decomposing Applications for Deployability and Scalability (jax jax2014) Today, there are several trends that are forcing application architectures to evolve. Users expect a rich, interactive and dynamic user experience on a wide variety of clients including mobile devices. Applications must be highly scalable, highly available and run on cloud environments. Organizations often want
Building microservices with Scala, functional domain models and Spring Boot The document discusses building microservices with Scala, functional domain models, and Spring Boot. It describes using an event-driven and event sourcing architecture to solve data consistency issues with microservices and NoSQL databases. Event sourcing involves storing business events and replaying them to recreate stat
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く