Overview
📖 Project Overview
The ATV & Buggy - Cloud Functions Optimization project aims to enhance the performance, scalability, and efficiency of the ATV & Buggy platform by optimizing its APIs (Application Programming Interfaces). This initiative will ensure seamless integration between the front end and back end, enabling quick data processing and improved user experience.
This project will focus on:
✅ Enhancing API response times and reducing latency.
✅ Improving scalability to accommodate varying workloads.
✅ Implementing robust error handling mechanisms.
✅ Establishing comprehensive monitoring and logging practices.
✅ Optimizing resource usage to reduce operational costs.
🎯 Objectives & Deliverables
📌 Cloud Functions Optimization Goals
✅ Performance Improvement – Enhance API response times and minimize latency for seamless user interactions.
✅ Scalability Enhancement – Adjust cloud function resources to handle increasing user demands efficiently.
✅ Error Handling – Implement mechanisms to ensure reliability and graceful degradation in case of failures.
✅ Monitoring & Logging – Set up tracking for API usage, performance metrics, and potential issues.
✅ Cost Optimization – Analyze and optimize resource consumption to reduce operational costs while maintaining high performance.
🛠️ Tools & Technologies
Cloud Platform: Google Cloud Functions, AWS Lambda, Firebase Functions
Monitoring & Logging: Google Cloud Monitoring, AWS CloudWatch, Datadog
Performance Testing: JMeter, Postman, LoadRunner
Security & Error Handling: Sentry, OWASP Security Tools
Database Optimization: Firebase Firestore, MongoDB Atlas, PostgreSQL
📌 Milestones & Timeline
1️⃣ Performance Benchmarking & Analysis – [Start Date] → [End Date]
2️⃣ API Response Time Optimization – [Start Date] → [End Date]
3️⃣ Scalability & Load Testing Implementation – [Start Date] → [End Date]
4️⃣ Error Handling & Fault Tolerance Mechanisms – [Start Date] → [End Date]
5️⃣ Monitoring, Logging, & Cost Optimization – [Start Date] → [End Date]
📢 Notes & Additional Information
🔹 Performance reports will be logged in Redmine & Cloud Monitoring tools.
🔹 Load testing will be conducted before deployment to ensure scalability.
🔹 Security audits will be performed to ensure compliance with best practices.
🔹 Collaboration with the DevOps & Backend teams is required for cloud function optimizations.
Members
Team Lead Role: Abdul Wadood, Admin Admin, Hassan Rehman, Munawar Hussain, Sumayya Iftikhar, Tabish Musheer, Usman Khan, Super Admin , Team Lead
Super Admin Roles: Usman Khan, Super Admin
Admin Roles: Usman Khan, Yawar Abbas, Super Admin
SQA TEAM Role: Admin Admin, Akash Amanual, Aleeza Shabbir, Amna Saqib, Muhammad Umer, Munawar Hussain, Usman Khan, SQA TEAM, Super Admin
Developers Roles: Abdul Smeed, Abdul Wadood, Admin Admin, Azmat Ullah, Hammad Ullah, Hassan Rehman, Muzdalfah Khan, Noman khateeb, Salik Mannan, Talha Kazmi, Usman Khan, Mobile Development Team, Super Admin , Web Development Team
PROJECT MANAGER ROLE: Admin Admin, Rabbya Imtiaz, Rehan Khan, Usman Khan, PROJECT MANAGER, Super Admin
Stakeholders Roles: Josip Mustapic, Usman Khan, Super Admin
Creative Team Role: Admin Admin, Noman Khan, Sami Ullah, Sumayya Iftikhar, Tooba Alam, Usman Khan, Creative Team, Super Admin
Devops Roles: Inbisat Syed, Admin Admin, Tabish Musheer, Usman Khan, Devops, Super Admin
Super Admins Roles: Usman Khan, Super Admin