This blog focuses on how Yelp successfully implemented a multi-year, cross-organizational initiative to modernize its billing processes. The goal was to automate its revenue recognition system by enhancing integration capabilities with third-party financial systems, all while maintaining the accuracy and reliability our users expect. Summary When Yelp first developed its billing system a decade ago, the database design was based on the requirements known at that time. These initial choices laid the foundation for the billing system, upon which multiple Yelp systems and processes were built. However, as the company evolved, it became evident that these design choices were not...

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As mentioned in our earlier blog post Fine-tuning AWS ASGs with Attribute Based Instance Selection, we recently embarked on an exciting journey to enhance our Kubernetes cluster’s node autoscaler infrastructure. In this blog post, we’ll delve into the rationale behind transitioning from our internally developed Clusterman autoscaler to AWS Karpenter. Join us as we explore the reasons for our switch, address the challenges with Clusterman, and embrace the opportunities with Karpenter. Clusterman and its challenges At Yelp, we used Clusterman to handle autoscaling of nodes in Kubernetes clusters. It is an open-source tool we initially designed for Mesos clusters and...

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