Automated Build and Logging Pipeline for Retail Inventory Systems

Added Jun 2025 3 design docs

Retail inventory systems sit on the critical path of every sale, and changes to them need to ship quickly without breaking stock accuracy. Just as important, when something does go wrong across a distributed deployment, engineers need one place to look — not a dozen servers to log into one by one. The intern automates the delivery pipeline for a retail inventory management application: Jenkins orchestrates continuous integration and deployment, Docker packages the application into consistent images, and Kubernetes runs and scales the containers. Ansible manages environment configuration so staging and production stay aligned by code rather than by memory. The observability half of the project centralizes logging with the ELK Stack — Elasticsearch, Logstash, and Kibana — so application and deployment logs from every pod stream into searchable dashboards where errors can be traced across services in seconds. The intern learns the two disciplines that define day-to-day DevOps work — pipeline automation and log-driven troubleshooting — and can demonstrate a complete, working path from code commit to monitored production deployment of a realistic retail workload.

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