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Marching Toward a Trillion Kafka Messages per Day: Running Kafka at scale at PayPal

Maulin Vasavada, PayPal

At PayPal, our Kafka journey, which started with a handful of isolated Kafka clusters, now has us marching at a rapid pace towards a trillion messages per day in a true multi-tenant Kafka environment with thousands of brokers. To enable that tremendous growth -- which today is reflected by 30% quarter-on-quarter increases in traffic volume -- we’ve had to overcome a wide variety of challenges, including:

Deploying the tooling required to operate multiple Kafka clusters at scale Monitoring and operating a large fleet of brokers across multiple availability zones Identifying the right set of metrics to monitor and then finding a way to automate remediation Troubleshooting customer issues related to broker connectivity and data loss Planning and optimizing capacity within budget constraints Managing a polyglot client stack with a diverse set of Kafka client libraries.

And of course, doing all of the above while ensuring compliance with the stringent data security requirements mandated for FinTech companies.

In this talk, we will describe the Kafka deployment model at PayPal and how we addressed these challenges to implement event streaming at enterprise scale. Independent of the scale of your Kafka deployment – be it a large enterprise already using Kafka, a midsize company in the midst of transforming your Big Data platform, or a small but rapidly growing company just getting started with Kafka – this talk will provide you with knowledge of the ins and outs of operating Kafka at scale, learn the challenges you can expect, and understand how you can address them will help you pave the way for your own Kafka journey. Screen reader support enabled.