Scaling Time-Series Data to Infinity - A Kubernetes-Powered Solution with Envoy
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Discover how to build an infinitely scalable time-series database using Kubernetes, Object Storage, and Envoy in this 30-minute conference talk by Hiroki Sakamoto from LY Corporation. Learn about the challenges of managing petabyte-scale data and explore effective strategies for constructing a highly available and resilient platform. Gain insights into data sharding techniques, parallel read/write mechanisms in distributed systems, and the implementation of distributed cache systems for cost-efficient Object Storage. Understand the architecture behind a time-series database handling over a billion metrics and approaching petabyte-scale storage. By the end of this talk, acquire the knowledge to develop a high-performing distributed data processing system on Kubernetes, capable of scaling to meet the demands of large-scale time-series data management.