DevOps TaskTracker

Automated build and deployment via GitHub Actions and Docker, reducing delivery time by 70% according to the CV.

  • REST API
  • +3 more

Skim the case by context, role, result, and evidence.

Context

A cross-platform task management desktop app built with Electron.js and TypeScript, supported by CI/CD, Docker, AWS EC2 deployment, and monitoring.

My role

Software engineer and DevOps contributor

Result

Automated build and deployment via GitHub Actions and Docker, reducing delivery time by 70% according to the CV.

Evidence

Electron and TypeScript desktop app

Context

TaskTracker was built as a desktop productivity application with engineering practices around delivery, deployment, and observability.

Problem

The project needed to combine an offline-friendly desktop interface with API integration, authentication, repeatable deployment, and monitoring.

My Role

I contributed across software engineering and DevOps work, including TypeScript implementation, CI/CD setup, containerization, cloud deployment, and monitoring support.

Evidence

GitHub repository for DevOps TaskTracker showing workflow, monitoring, public, and src project folders
Repository evidence: source, workflow, deployment, and monitoring folders are visible in the project repository.

Approach

  • Built the desktop app using Electron.js and TypeScript.
  • Integrated RESTful API behavior and authentication.
  • Containerized deployment flow with Docker.
  • Automated build and deployment with GitHub Actions.
  • Deployed to AWS EC2 and monitored with Prometheus and Grafana.

Key Decisions

The project emphasized repeatable delivery. Docker and GitHub Actions made the deployment flow more consistent, while monitoring helped connect the application to operational visibility.

Result

According to the CV, the automated build and deployment pipeline reduced delivery time by 70%.

What I’d Improve

I would add release notes per deployment, document rollback strategy, and include screenshots of the monitoring dashboard.

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