01
Overview
Built a distributed system for asynchronous job execution and concurrent task management. Workers pull tasks from a central queue, execute them independently, and report results back — designed for scalability, fault tolerance, and high throughput under variable workloads.
01
Job Submission
REST API accepts tasks and enqueues them
02
Task Queue
Central broker distributes work to available workers
03
Worker Nodes
Containerized workers execute tasks concurrently
04
Results
Outcomes logged, monitored, and returned via API
02
Architecture
Async Task Execution
Non-blocking job dispatch with concurrent worker pools — multiple tasks execute in parallel without blocking the submission queue
Containerized Workers
Each worker runs in an isolated Docker container — consistent environment, easy scaling, and clean failure isolation between tasks
Kubernetes Orchestration
K8s manages worker pod lifecycle — auto-restart on failure, horizontal scaling based on queue depth, and rolling deployments
AWS Deployment
Deployed on AWS EC2 with S3 for task artifact storage — ECS/EKS handles container orchestration at scale
Fault Tolerance
Failed tasks automatically re-queued with retry logic — dead letter queue captures permanently failed jobs for inspection
Activity Logging
Job execution frequency tracking and status monitoring — full visibility into worker throughput and queue depth over time
03
Tech Stack
| Layer | Technology | Purpose |
|---|---|---|
| Language | Python 3.9+ | Core task logic and worker implementation |
| Containerization | Docker | Worker isolation and consistent environments |
| Orchestration | Kubernetes | Pod scheduling, auto-scaling, and health checks |
| Cloud | AWS EC2 + S3 | Compute and artifact storage |
| API Layer | REST APIs | Job submission and result retrieval |
| CI/CD | GitHub Actions | Automated build, test, and deploy pipeline |
| OS | Linux | Worker node environment |
Designed for production-grade reliability — containerized services enable consistent behavior across dev, staging, and production. Kubernetes health checks automatically replace unhealthy workers, ensuring sustained throughput under concurrent workloads.