Kafka on PaaSTA: Running Kafka on Kubernetes at Yelp (Part 1 - Architecture) Yelp’s Kafka infrastructure ingests tens of billions of messages each day to facilitate data driven decisions and power business-critical pipelines and services. We have recently made some improvements to our Kafka deployment architecture by running some of our clusters on PaaSTA, Yelp’s own Platform as a Service. Our Kub
We have since migrated to a more robust solution that uses NGINX and HAProxy together to achieve our goals. See that solution here HAProxy: Cornerstone of Reliable Websites One primary goal of the infrastructure teams here at Yelp is to get as close to zero downtime as possible. This means that when users make requests for www.yelp.com we want to ensure that they get a response, and that they get
Prem Santosh Udaya Shankar, Software Engineer Aug 1, 2016 This post is part of a series covering Yelp's real-time streaming data infrastructure. Our series explores in-depth how we stream MySQL and Cassandra data at real-time, how we automatically track & migrate schemas, how we process and transform streams, and finally how we connect all of this into data stores like Redshift, Salesforce, and El
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