A log analyzer for CI/CD pipelines that leverages Large Language Models to automatically detect and explain the root cause of failures

This project analyzes server logs using Python, generates error reports and summary CSVs, and automates everything with GitHub Actions CI/CD. It runs on every code or log update, saving visual and tabular reports as artifacts. Ideal for demonstrating DevOps automation and log analytics skills.

An app to analyze ci/cd logs and suggest fixes

AI-powered CI/CD failure analyzer built with Spring Boot and Ollama that extracts error blocks from pipeline logs, classifies root causes, and generates safe, structured remediation steps using a multi-agent workflow.

CI/CD Log Analyzer

Python log analyzer with CI/CD using GitHub Actions

No description available

LLM-based CI/CD failure and log analyzer for DevOps

No description available

DevOps project that demonstrates how GitHub Actions can be used to automate build and test workflows, while integrating AI to help analyze pipeline failures and improve troubleshooting.

No description available

AI Log Analyzer with CLI, OpenObserve, CI/CD, and SOP compliance

No description available

Telemetry Log Analyzer, Docker container, AWS S3 bucket, CI/CD with Github Actions

ai-log-analyzer – FastAPI service with LLM integration, Docker, and GitHub Actions CI/CD

CI/CD log analyzer that detects failures, classifies severity, identifies root causes, and generates structured reports.

AI-powered CI/CD log analyzer that detects failures, explains root causes, and suggests fixes automatically.

LLM-powered CI/CD failure analyzer using FastAPI, Docker , Jenkins, and Ollama for automated log debugging.

Deployment, monitoring, and DNS automation layer for the Log Analyzer Attack Detection platform — enabling streamlined CI/CD, environment sync, and production stability.

AI-powered CI/CD threat analyzer that simulates LLM-based detection, maps risks to MITRE ATT&CK, and logs suspicious packages with FastAPI.

AI Log Analyzer is a backend DevOps service that integrates directly into CI/CD pipelines to automatically analyze build logs, detect failures, explain the root cause, and generate practical fix recommendations.Instead of manually reading thousands of log lines, teams receive clear, human-readable error summaries and actionable solutions instantly.

A complete DevOps-friendly log analysis project packaged with Docker and enhanced with Bash automation. The analyzer generates detailed JSON, HTML, and CSV reports, uses colorized CLI output, supports Docker Compose, and is ready for CI/CD deployment with GitHub Actions and cloud hosting.

Python for DevOps — A learning repository where I am building Python skills from scratch with a focus on automation, scripting, monitoring, CI/CD, containers, cloud, and real DevOps use-cases. This repo will include notes, examples, and practical projects like log analyzers, API automation, infrastructure scripts, and task automation.