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Observability at Scale

Blog post from Observe

Post Details
Company
Date Published
Author
Jeremy Burton
Word Count
341
Language
English
Hacker News Points
-
Summary

Observe has revamped its website to emphasize its capabilities in AI and observability at scale, highlighting its robust infrastructure that can handle vast amounts of telemetry data, ingesting tens or hundreds of terabytes into a single instance and storing it efficiently in an S3-based data lake with Apache Iceberg format for flexibility. The platform boasts exceptional system concurrency, offering over 99.9% availability with options for platinum resiliency, which includes a 15-minute failover to another availability zone. Unlike traditional observability tools, Observe does not rely on building indexes for each time series, allowing for efficient data filtering and sampling without additional tools. The platform supports high query volumes, executing an average of 220 million queries per day and scanning around 16 PiB of data daily, making it suitable for customers with significant scale demands.