← This weekCase studyData engineering & the warehouse/lakehouseApacheNetflix is transitioning to the open-source Apache Flink Autoscaler for over 30,000 streaming jobs, aiming to improve efficiency for complex, stateful pipelines. This move has already resulted in significant cost savings, with one team reducing their Flink compute expenditure by 58%, equating to approximately $1.1 million annually.
MyDataWork POV — For organizations managing vast streaming operations, Netflix's shift to the Apache Flink Autoscaler is a compelling case study in operational efficiency. It's a move that highlights the potential for substantial cost savings and performance improvements in complex data environments. However, smaller teams with less intricate pipelines might find the benefits less pronounced, as the gains are most significant in large-scale, stateful operations. This isn't a universal solution, but for those juggling thousands of jobs, it's a strategic pivot worth examining.
Discussion happens on Reddit — no comments are hosted here.