Prometheus fork for cloud scale anomaly detection across metrics/logs
The Prometheus monitoring system and time series database. - zebrium/prometheus
Prometheus fork for cloud scale anomaly detection across metrics/logs launched on March 24, 2020 with 5 votes, #1,643 of 4,417 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 6 years on.
Does a similar job
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ADTK – new Python library for time series anomaly detection2019 · github.com · ▲67A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
CLI Using Chaos Engine on K8s to Validate Autonomous Monitoring Tool2020 · github.com · ▲19GKE cluster using Litmus Chaos Engine to validate Zebrium's unsupervised Machine Learning incident detection platform - zebrium/zebrium-kubernetes-demo
Fast Real-Time Anomaly Detection in Dynamic Graphs2020 · github.com · ▲118Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. - Stream-AD/MIDAS
Zebrium – ML that catches software incidents and shows you root cause2020 · zebrium.com · ▲76Skylar Advisor combines real-time observability data, rich operational context, and customer-owned knowledge to deliver explainable AI guidance for IT operations.
Midas, a Streaming Anomaly Detector. Now Implemented in Go2020 · github.com · ▲88Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams - steve0hh/midas
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