Engineering Deep Dive: Streaming Aggregations Part 2 – Memory Optimization

With Aggregations in Cribl LogStream 1.6, you can send your logs directly to Cribl and shape, extract, filter, drop, and now, aggregate!  This new, powerful capability allows users to easily transform logs into metrics while running real-time, tumbling window aggregate functions on them. If you missed Part 1 on aggregation time bucketing, feel free to … Continue reading Engineering Deep Dive: Streaming Aggregations Part 2 – Memory Optimization

Engineering Deep Dive: Streaming Aggregations Part 1 – Time Bucketing

With Aggregations in Cribl LogStream 1.6, you can send your logs directly to Cribl and shape, extract, filter, drop, and now, aggregate!  This new, powerful capability allows users to easily transform logs into metrics while running real-time, tumbling window aggregate functions on them. In this post I would like to share various engineering problems/challenges we … Continue reading Engineering Deep Dive: Streaming Aggregations Part 1 – Time Bucketing