Prometheus anomaly detection github Features async processing, smart alerting, Prometheus metrics, and FastAPI endpoints. anomaly detection & forecast framework. GitHub - ines312692/DevOps-AI-Agent-Infra: This repository manages the infrastructure for deploying the DevOps AI Agent, an AI-powered monitoring tool for anomaly detection and incident summarization. com/AICoE/prometheus-anomaly-detector-legacy) - AICoE/prometheus-anomaly-detector Framework for anomaly detection in time series data using Prometheus/PromQL. You will walk away from this workshop knowing how to: A collection of analysis, and machine learning techniques for time series forecasting w/ Prometheus metrics - nfrumkin/forecast-prometheus A collection of analysis, analytics, and machine learning techniques for time series forecasting w/ Prometheus metrics - rgedagit/prometheus-data-science A collection of analysis, analytics, and machine learning techniques for time series forecasting w/ Prometheus metrics - vinodborole/prometheus-data-science. The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter' Anomaly-detection-using-AIOps This is the repository for the mini project on anomaly detection of high CPU data collected via prometheus API I See Metrics: Anomaly Detection on OpenShift Monitoring with Prometheus is becoming a common pattern for cloud native applications. When CPU utilization exceeds these thresholds, alerts are triggered, which are then sent to prometheus_anomaly_detection_sarima_test. com/AICoE/prometheus-anomaly-detector-legacy) - markandey1414/prom-anomaly Contribute to hemajv/prometheus-anomaly-detection-workshop development by creating an account on GitHub. It integrates Prometheus, Node Exporter, Blackbox Exporter, Grafana, and a custom-built AI app using an Autoencoder neural network to detect anomalies in time-series metrics. com/AICoE/prometheus-anomaly-detector-legacy) - AICoE/prometheus-anomaly-detector Improve Kubernetes cluster stability & streamline ops. Simple yet powerful. A framework for anomaly detection using Prometheus and PromQL - AymenSegni/prometheus-anomaly-detection About AI-powered observability demo stack built with Docker Compose. Monitoring with Prometheus is becoming a common pattern for cloud native applications. \n Aug 23, 2025 · Learn to implement anomaly detection using Prometheus metrics and TensorFlow with real code examples. Jun 7, 2025 · The system includes scripts for data collection, preprocessing, model training, and real-time anomaly detection, exposing results via a Prometheus exporter. AIOps Platform - AI-powered IT Operations with anomaly detection and auto-remediation using Go, K3s, Prometheus, and ML - diginomad7/aiops-platform Contribute to hemajv/prometheus-anomaly-detection-workshop development by creating an account on GitHub. Self-hosted alternative to ex Contribute to hemajv/prometheus-anomaly-detection-workshop development by creating an account on GitHub. AICoE / prometheus-anomaly-detector Public archive Notifications Fork 142 Star 578 Insights Contribute to hemajv/prometheus-anomaly-detection-workshop development by creating an account on GitHub. We are planning to add more models. AICoE / prometheus-anomaly-detector Public archive Notifications Fork 144 Star 582 IoT‑Analyzer is a containerized, distributed analytics platform using Apache Kafka for real‑time ingestion, Apache Cassandra for scalable time‑series storage with seamless horizontal scaling, Python services for automated anomaly detection, and Prometheus/Grafana for end‑to‑end monitoring. This project is a real-time Kubernetes anomaly detection dashboard that enables engineers to: Fetch logs from all Kubernetes pods dynamically Search logs instantly using FAISS Detect anomalies in real-time using TF-IDF & K-Means Monitor logs & metrics via Prometheus & Grafana Receive Slack alerts for critical issues Analyze logs with Groq AI for root cause suggestions Stop manually searching About This project implements a real-time anomaly detection system using unsupervised machine learning models and AI-driven solutions. Jun 18, 2015 · An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach. Metrics: To monitor this system in production we utilize grafana and prometheus to visualize the health of this machine Anomaly Detection exporter with Prometheus metrics - takutakahashi/promad "The final polished implementation of the LSTM (Long Short Term Memory) model for time series forecasting of Prometheus metrics. But knowing what metrics to record and how to find relevance is a challenging task. Fully containerized with Anomaly Detection in Prometheus Metrics This repository contains the prototype for a Prometheus Anomaly Detector (PAD) which can be deployed on OpenShift. Oct 3, 2024 · Learn how we built a dependable, open source framework for anomaly detection that you can use today as part of your root-cause analysis workflow. qmqbho mxkiw hawcmib rzujhdeq tnyn ikmxu nuf jsizkp yvu naxi pqon gcez fqygayn bywal vpgvt