Managing your Kafka in an explosive growth environment
Who is this presentation for?
Architects, DevOps engineers, application developers
Kafka, many times is just a piece of the stack that lives in production that often times no one wants to touch – because it just works. At AppsFlyer, Kafka sits at the core of our infrastructure that processes billions of events daily.
This talk will share how we built our microservices architecture with Kafka as its core piece to support 70B+ requests daily. With continuous growth we needed to “learn on the job” how to improve our Kafka architecture by moving to the producer owner cluster model, breaking up our massive monolith clusters to smaller more robust clusters, and migrating from an older version of Kafka with real-time production clients & data streams. The talk will outline best practices for leveraging Kafka’s in-memory capabilities & built-in partitioning, as well as some of the tweaks and stabilization mechanisms that enable real-time performance at web-scale, alongside processes for continuous upgrades and deployments with end-to-end automation, in an environment of constant traffic growth.
Prerequisite knowledgeGeneral understanding of Kafka
What you'll learn
Alon has been with AppsFlyer for more than two years. Originally a backend developer he has transitioned to lead the real time infrastructure team, and took on the role of bringing some of the most heavily used infrastructure in AppsFlyer to the next level. A strong believer in sleep driven design, Alon’s main focus is stability and resiliency in building massive data ingestion and storage solutions.
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