Scaling Data Platforms: Managing Growth from Zero to Billions of Transactions

Originally aired:

About the Session

In a landscape where data dominates, efficiently scaling data platforms to accommodate increasing workloads is a critical challenge. This session unveils the journey and strategies behind the remarkable scaling of Arcesium's data platform, which adeptly handles billions of transactions. We will dissect the key strategies, technological insights, and pivotal moments that marked this achievement.

The session will particularly highlight the transformative role of Argo and Kubernetes in this scaling endeavor. Discover how these technologies were pivotal in enhancing performance, ensuring fault tolerance, and dynamically scaling workloads in response to evolving demands. The discussion will cover the practical implementation of these solutions, the challenges encountered, and the innovative tactics deployed to surmount them.

Join us for an insightful exploration into scaling data processing workloads. This session is a must-attend for anyone looking to understand how to effectively scale a data platform, from its nascent stages to handling billions of transactions. Get ready to dive into a world where data platform scalability is demystified and made achievable.

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