AI 요약관련 정보

In this video, we look at Google's in-memory time series store called Monarch. This datastore is built to ingest over 6 million data points per second. It maintains the data in memory, using compression algorithms for efficiency. The store also uses indexing techniques and pre-computed caches for fast response times, of less than 100 ms. The purpose of Monarch is OBSERVABILITY across systems. 00:00 What is Monarch? 01:36 Architectural Decisions 03:50 Data Schema 05:50 Compression Algorithms 07:17 High-Level Architecture 09:54 Field HInts Index 11:30 Precomputed cache 12:25 Fault Tolerance 14:38 Thank you! System Design Course: https://interviewready.io/ #SystemDesign #Monarch #Google