📅 9th November, 9 AM PDT | 📍Linkedin Live | 🎤 Prathamesh Sonpatki and Aniket Rao, Developer Evangelists at Last9.io
Description:
High Cardinality often becomes a limiting factor in an organization’s monitoring journey. The choices that face SREs include dropping labels and relabeling or removing instrumentation to control cardinality spikes. But Last9 - our managed time series data warehouse, provides an alternate option - Streaming Aggregation!
Join us to learn how to manage high cardinality with streaming aggregations in real time instead of going back and asking developers to change instrumentation.
Read more about streaming aggregations:
[
Streaming Aggregation | Last9 Documentation
This document explains how to setup streaming aggregation pipelines in Last9.
Last9
](https://last9.io/docs/streaming-aggregations/)
Difference between Streaming Aggregations vs. Recording Rules.
