TaskFlow is a cloud-based task management platform designed to streamline collaboration for teams of all sizes. TaskFlow prioritizes scalability, deployability, and reliability. These attributes ensure seamless performance during peak usage, effortless updates, and uninterrupted service. By leveraging microservices and automated CI/CD pipelines, TaskFlow delivers a robust architecture that adapts to dynamic workloads while maintaining operational stability.
Name: Shaokai Song
Student number: 49260755
The complete TaskFlow system includes:
1.User Authentication: Secure sign-up/login with OAuth 2.0.
2.Task Management: Create, assign, and track tasks with deadlines and priorities.
3.Real-Time Collaboration: Live updates and comments for team members.
4.Analytics Dashboard: Visualize team productivity and task completion rates.
5.Multi-Platform Support: Web, mobile, and desktop clients with synchronized data.
6.Third-Party Integrations: Slack, Google Calendar, and Jira compatibility.
TaskFlow’s appeal lies in its ability to grow with teams, from small startups to large enterprises, without compromising performance or usability.
The MVP will deliver core functionality to validate scalability, deployability, and reliability:
1.Basic Task Management: Create, edit, and delete tasks.
2.User Authentication: Email/password login.
3.RESTful API: Backend service for task operations.
4.Static Web Client: Minimal frontend for task interaction.
5.Automated Deployment: Docker containers orchestrated via Kubernetes.
The MVP excludes advanced features like analytics or third-party integrations but ensures foundational architectural validation.
1.Scalability
Importance: TaskFlow must handle sudden spikes in users (e.g. morning logins) without latency.
2.Measurement:
Load testing with Apache JMeter to simulate 10,000 concurrent users.
Cost-efficiency analysis under varying loads.
3.Deployability
Importance: Rapid iteration is critical for bug fixes and feature rollouts.
Measurement:
Time-to-deploy using GitHub Actions CI/CD pipelines.
Success rate of zero-downtime deployments validated via Kubernetes health checks.
Reliability
Importance: Users expect uninterrupted access to their tasks.
Measurement:
Uptime monitored via Prometheus/Grafana (target: 99.9%).
Error rates logged and analyzed using Elasticsearch.
Trade-offs:
Scalability > Extensibility: Prioritizing horizontal scaling over plugin support in the MVP.
Reliability > Cost: Opting for redundant cloud instances despite higher initial costs.
1.Scalability Testing
Deploy TaskFlow on AWS EKS with auto-scaling enabled.
Gradually increase simulated users until response time exceeds 2 seconds.
Measure resource utilization (CPU/RAM) and cost per 1,000 users.
2.Deployability Testing
Execute 50 deployment cycles using CI/CD pipelines.
Track average deployment time and failure rate.
Validate rollback mechanisms during failed deployments.
3.Reliability Testing
Run the system continuously for 30 days.
Monitor downtime duration and root causes of failures.
Conduct chaos engineering tests to validate fault tolerance.