Continuous Delivery and Observability for Real Estate Listing Platforms

Added Jun 2025 3 design docs

Real estate listing platforms live and die by freshness and uptime: new properties must appear quickly, search must stay responsive, and outages during peak browsing hours cost signed deals. This project builds the delivery and observability infrastructure such a platform needs behind the scenes. The intern implements a CI/CD pipeline in Jenkins that takes the listing application from commit through automated build and test to deployment as Docker containers on a Kubernetes cluster, enabling frequent, low-risk releases. Observability is built in from the start on two fronts: the ELK Stack aggregates logs from every service into searchable, visual form for debugging and audit, while Prometheus collects performance metrics — request latency, error rates, resource consumption — that Grafana renders into dashboards and threshold alerts. The intern ties the pieces together so a deployment's impact on performance is visible within minutes of release. The project delivers working fluency in the deploy-measure-diagnose loop at the center of production engineering, and leaves the intern with a portfolio system demonstrating the container, pipeline, and monitoring skills that property technology companies hire for.

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