Shell scripts to monitor production server logs and store the result in a file.
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Updated
Jul 11, 2018 - Shell
Shell scripts to monitor production server logs and store the result in a file.
AI-powered incident triage system — reads error logs, uses Claude LLM to diagnose issues, and triggers automated remediation. Built for Payments & Finance platforms.
Bash script to monitor Linux server health (Disk/Memory/CPU/Services) with email alerts
🛡️ PeopleSoft production support automation using a local LLM (llama3.3/deepseek-r1). Combines Model Context Protocol (MCP) for live DB inspection and Cache-Augmented Generation (CAG) for SOP matching. FastAPI + Streamlit + Ollama.
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Production Support Engineer with 4+ years of experience | Java Application Support | RHEL Linux | Kubernetes | Learning DevOps, Cloud & AI Engineering
Hands-on Mini ERP application support lab using Oracle SQL/PLSQL, Linux, Bash, SQL*Plus, incident troubleshooting, batch monitoring and health-check automation.
Simulated FIX execution report parser and trade support reconciliation engine using Python, SQL, SQLite, pandas, and CSV exception reports.
Hands-on production support lab for diagnosing real-world failures across APIs, Docker, Nginx, PostgreSQL, RabbitMQ, Redis, observability, Kubernetes and CI.
AI-powered log analysis & incident triage tool for Application / Production Support. Paste logs or upload files → get severity, root cause, next steps, grep queries & ticket summary.
Banking production support lab simulating payment transactions, incident investigation, REST APIs, SQL analysis, logging, Grafana monitoring and alerting.
Metadata-driven AI Production Support Agent using n8n, Google Gemini, and MySQL for intelligent production issue investigation.
Real-world Kubernetes production issues and fixes
Production support automation utilities for Linux, SQL, monitoring and troubleshooting.
SQL-based simulated trade reconciliation workflow for detecting broker, booking, allocation, and settlement breaks.
Powershell for production support teams
Sanitized five-year engineering case study for the Menthum mutual-fund platform.
Dependency-free Python CLI for checking incident handoff readiness before on-call ownership transfers.
Practical incident response + RCA templates and runbooks for backend APIs (payments/integrations).
Production support, monitoring, incident automation and recovery simulation
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