andrewm4894/anomstack

Identify atypical data and receive automatic notifications

Sherlock is an anomaly detection service built on top of Druid

Real-time anomaly detection for time series metrics. 11 years of production anomaly detection evolution. Multi-algorithm ensembles. Pattern recognition using semi-supervised and unsupervised learning. Correlation analysis. Learns and gets better over time. No GPU required, can run on a VPS.

Monoscope lets you ingest and explore your logs, traces and metrics. We store these in S3 compatible buckets. Query in natural language via LLMs.

The fastest path to AI-powered full stack observability, even for lean teams.

ElastAlert 2 is a continuation of the original yelp/elastalert project. Pull requests are appreciated!

A framework for anomaly detection using Prometheus and PromQL

Agent layer for observability

Evaluation Tool for Anomaly Detection Algorithms on Time Series