Container Orchestration Pipeline for a Fleet Management Platform

Added Jun 2025 3 design docs

Transportation companies run software that dispatch teams and drivers depend on around the clock, yet many still deploy updates by hand, taking systems offline during business hours and struggling to add capacity when demand spikes. This project tackles that operational gap by automating the full release and scaling lifecycle of a transportation management application. The intern containerizes the application with Docker and deploys it to a Kubernetes cluster configured for horizontal scaling, so the platform can absorb rush-hour traffic without manual intervention. A Jenkins pipeline automates building, testing, and rolling out each release, while Ansible playbooks keep server and environment configuration consistent and repeatable across staging and production. To close the loop, Prometheus scrapes cluster and application metrics and Grafana dashboards surface latency, resource usage, and deployment health, giving operators a live view of the system. By completing the project, the intern demonstrates end-to-end DevOps competence: writing Dockerfiles and Kubernetes manifests, designing CI/CD stages, codifying configuration, and defining the alerts and dashboards production teams rely on every day.

Related projects

Compliance-Ready DevOps Platform for Finance Microservices

Financial services run on microservices that must ship fast without ever breaching compliance, and the DevOps platforms behind them are held to a higher bar than most: every deployment auditable, every configuration enforced, every anomaly logged. This project builds such a platform end to end. The intern constructs a secure deployment platform for finance microservices using Docker for containerization and Kubernetes for orchestration, with Jenkins pipelines automating build, test, and release. Terraform provisions the underlying infrastructure as code and Ansible enforces consistent configuration across environments. Nginx fronts the services with hardened network rules, Prometheus and Grafana provide metrics and dashboards, and the ELK Stack centralizes logs with a security focus — feeding audit trails that, together with automated policy enforcement in the pipeline, keep deployments aligned with financial regulations. The intern emerges with rare breadth: hands-on experience across the modern DevOps toolchain, plus the compliance-conscious engineering mindset — audit trails, policy gates, least-privilege networking — that finance and other regulated industries specifically hire for.

financesecurityansibledevops+8

View project

Hard

Zero-Downtime Deployment Pipeline for E-Commerce Platforms

For an online retailer, deployment downtime is directly lost revenue, and slow release cycles mean losing ground to faster competitors. Modern e-commerce engineering therefore treats the deployment pipeline itself as a product — automated, resilient, and safe to run many times a day. The intern builds that pipeline end to end: Jenkins drives continuous integration and delivery, Docker packages the e-commerce services, Kubernetes orchestrates them at scale, and Terraform defines the infrastructure as reviewable code. Ansible manages configuration across environments and Nginx serves as the reverse proxy at the edge. The pipeline supports multi-stage deployments through development, staging, and production, performs zero-downtime rolling updates, and rolls back automatically when health checks fail. The ELK Stack aggregates logs across the fleet so every release and incident is observable after the fact. The intern learns to think like a platform engineer: designing for failure, automating anything done twice, and measuring delivery speed and reliability together. The completed pipeline demonstrates command of the exact toolchain that e-commerce and startup infrastructure teams interview for.

e-commerceretailansibledevops+6

View project

Medium

Cluster Health Monitoring Dashboards for Spark and YARN Workloads

Teams that run big data workloads in energy and transportation depend on Spark jobs finishing on time, yet many operate their clusters blind: a stalled executor or saturated YARN queue often goes unnoticed until a nightly pipeline fails and downstream reports arrive empty. Reliable operations demand continuous visibility into cluster health, resource usage, and job behavior across hybrid cloud environments. In this project the intern builds that observability layer. Prometheus is configured to scrape metrics from Spark applications and YARN resource managers, capturing executor memory, task throughput, queue utilization, and node health. Grafana dashboards turn those series into real-time views of cluster performance, with panels for job durations, failure rates, and capacity trends, plus alerting rules that notify operators the moment thresholds are breached. The intern also tunes scrape intervals and retention policies so the monitoring stack itself stays lightweight and trustworthy. The result is hands-on fluency in monitoring and reliability practice for data platforms: metric instrumentation, dashboard design, alert engineering, and using observability data to optimize Spark resource allocation and cluster costs.

energytransportationgrafanaprometheus+2

View project