Yash Singh
GitHubLeetcodeCodeforces
Back to all posts
Web Development
Javascript
Gsoc

GSoC 2025 Proposal

8 min read
GSoC 2025 Proposal

GSoC 2025 Proposal: Performance Farm Web UI

Introduction

Project Title: Performance Farm: Web User Interface for Navigating Results
Email Subject: [GSoC 2025] Performance Farm Web UI - Yash Singh

The PostgreSQL Performance Farm collects valuable metrics from test runs across different PostgreSQL branches, but lacks an intuitive interface for users to analyze this data effectively. I propose to develop a modern, responsive JavaScript interface to transform raw performance data into actionable insights for PostgreSQL developers.

Biographical Information

Name: Yash Singh
Email: [email protected]
Phone: +91 8755-765-125
GitHub: [https://github.com/yashs33244/]
LinkedIn: [https://www.linkedin.com/in/yash-singh-2757aa1b4/]
University: Indian Institute of Information Technology Una, Himachal Pradesh
Program: Bachelor of Technology (2022-2026)
Timezone: IST (UTC+5:30)
Working Hours: 10 AM - 7 PM IST (flexible)
Preferred Communication: Email, Slack, GitHub

About Me

I'm a passionate developer focused on web technologies and database systems. My experience with React.js, TypeScript, and data visualization libraries makes me well-suited for this project. I'm committed to open-source development and excited about contributing to the PostgreSQL ecosystem.

Why PostgreSQL?

PostgreSQL is the world's most advanced open-source database, powering critical applications globally. By improving the Performance Farm tooling, I'll help:

  1. Accelerate performance issue detection across PostgreSQL branches
  2. Enable data-driven decisions for PostgreSQL developers
  3. Contribute to the reliability and speed of a database that powers millions of applications

The Performance Farm project perfectly aligns with my technical interests in frontend development, data visualization, and database systems.

Project Objectives and Expected Results

Loading diagram...
graph TD A[Raw Performance Data] --> B[Interactive Dashboard] B --> C[Branch Comparisons] B --> D[Time Series Visualization] B --> E[Commit Details Integration] B --> F[Test Configuration] B --> G[Responsive Design]

Main Objectives:

  1. Create an intuitive dashboard for performance data exploration
  2. Develop interactive visualizations for multi-branch comparison
  3. Implement commit-specific details with repository integration
  4. Design responsive layouts for all device types
  5. Ensure optimal performance with large datasets

Expected Results:

A comprehensive web interface that transforms raw performance data into actionable insights, helping PostgreSQL developers identify performance improvements and regressions efficiently.

Deliverables and Implementation Plan

1. Dashboard Overview

  • Summary view of tests, machines, and recent runs
  • Key performance indicators with trend visualization
  • Quick navigation to detailed comparisons

2. Interactive Data Visualization

  • Multi-branch comparison with time-series data
  • Dynamic date range selection
  • Commit-specific tooltips with metadata
  • Zoom, pan, and filtering capabilities

3. Branch Comparison Feature

  • UI for selecting multiple PostgreSQL branches
  • Side-by-side metric comparison
  • Visual highlighting of performance differences
  • Performance regression detection
Loading diagram...
graph TD A[App Container] --> B[Dashboard] A --> C[Visualization Container] C --> D[Branch Selector] C --> E[TimeRange Selector] C --> F[Chart Component] F --> G[Tooltip Component] A --> H[Commit Details] A --> I[Configuration Panel]

4. Commit Details Integration

  • Tooltips with commit hash, description, and author
  • Direct links to full commit details
  • Commit performance change tracking

5. Test Configuration View

  • Interface for selecting test parameters
  • Machine selection
  • Scale factor adjustment
  • Test type selection

6. Responsive Design

  • Mobile-friendly interface
  • Adaptive layouts for different screen sizes
  • Optimized data loading for various devices

Technology Stack

  • Frontend: React.js with TypeScript
  • State Management: React Context API or Redux
  • UI Components: Material-UI or Ant Design
  • Data Visualization: D3.js or Chart.js
  • Build Tools: Webpack, Babel
  • Testing: Jest, React Testing Library
  • Version Control: Git/GitHub
Loading diagram...
graph TD A[React.js] --> B[Frontend Framework] C[TypeScript] --> B D[Material-UI/Ant Design] --> E[UI Components] F[D3.js/Chart.js] --> G[Data Visualization] H[Context API/Redux] --> I[State Management] J[Jest] --> K[Testing] L[Webpack/Babel] --> M[Build Tools]

Code Affected

The project will primarily involve creating new frontend code that interacts with existing Performance Farm APIs:

  1. New frontend application structure in /ui directory
  2. Integration with existing API endpoints in /api
  3. No modifications to core Performance Farm backend systems

Related Pre-Proposal Work

I've studied the Performance Farm architecture and data format to understand the requirements. Additionally, I've created simple prototypes to validate my approach:

  1. Basic time-series visualization for PostgreSQL metrics
  2. Branch comparison prototype with mock data
  3. Research on optimal data visualization approaches for performance metrics

Schedule of Deliverables

Community Bonding Period (May 20 - June 12, 2025)

  • Set up development environment
  • Study PostgreSQL Performance Farm architecture
  • Create detailed component wireframes
  • Establish communication channels with mentors
  • Create project roadmap with milestones

Phase 1 (June 13 - July 25, 2025)

Weeks 1-2 (June 13-26)

  • Set up project scaffolding with React and TypeScript
  • Create basic API integration services
  • Implement dashboard layout and navigation
  • Develop initial data fetching utilities

Weeks 3-4 (June 27-July 10)

  • Implement time-series visualization components
  • Create branch selection interface
  • Develop date range selection component
  • Add basic tooltips for data points

Weeks 5-6 (July 11-24)

  • Enhance chart interactivity (zoom, pan, filter)
  • Implement commit details integration
  • Add performance regression detection
  • First round of testing and refinement
  • Phase 1 Evaluation Deliverable: Working dashboard with basic visualization features

Phase 2 (July 25 - September 12, 2025)

Weeks 7-8 (July 25-August 7)

  • Implement test configuration view
  • Add advanced filtering capabilities
  • Enhance commit details with repository integration
  • Develop responsive design adaptations

Weeks 9-10 (August 8-21)

  • Implement performance optimizations
  • Add data export functionality
  • Create advanced visualization features
  • Conduct comprehensive testing

Weeks 11-12 (August 22-September 4)

  • Finalize documentation
  • Fix edge cases and bugs
  • Prepare for final submission
  • Create user guide and demos

Final Week (September 5-12)

  • Final polishing and bug fixes
  • Submit completed project
  • Prepare demonstration for community
  • Phase 2 Evaluation Deliverable: Complete working web interface with all features

Time Commitment Assurance

I am committed to dedicating 30-35 hours per week to this project throughout the GSoC period. To ensure consistent progress:

  1. I will maintain a public development log documenting daily progress
  2. Weekly code pushes to the repository will demonstrate continuous work
  3. Scheduled weekly check-ins with mentors will ensure accountability
  4. I have cleared my schedule of other commitments during this period

Commitments during GSoC:

  • Final exams ending mid-May 2025 (before GSoC coding period)
  • One-week family vacation in mid-July (Week 7), during which I will allocate at least 20 hours and maintain regular communication

Communication Plan

I will maintain regular communication with mentors through:

  • Weekly progress updates via email
  • Bi-weekly video conferences (scheduled based on mentor availability)
  • Daily presence on PostgreSQL Slack channel
  • GitHub pull requests and issues for code reviews
  • Documentation of all design decisions and implementation challenges

Post-GSoC Plans

My commitment to the Performance Farm project extends beyond GSoC:

  1. Long-term Maintenance: I will continue to maintain and enhance the interface
  2. Feature Expansion: Implement additional features based on community feedback
  3. Knowledge Transfer: Create detailed documentation to enable others to contribute
  4. Community Involvement: Remain active in the PostgreSQL community
  5. Mentorship: Help future contributors get involved with the project

Conclusion

The Performance Farm Web UI project represents an exciting opportunity to create a valuable tool for the PostgreSQL community. My skills in web development and data visualization, combined with my passion for database systems, make me an ideal candidate for this project. I am committed to delivering a high-quality, intuitive interface that will help PostgreSQL developers identify performance improvements and regressions efficiently.

Thank you for considering my proposal. I look forward to the possibility of contributing to the PostgreSQL ecosystem through GSoC 2025.

I've enhanced your GSoC proposal following the guidelines you shared. Here are the key improvements:

  1. Added visuals:

    • Created Mermaid diagrams showing project overview, objectives, component architecture, and tech stack
    • Added an SVG mockup of the dashboard interface
    • Organized content with better visual hierarchy

  2. Improved structure:

    • Used the recommended proposal format with clear sections
    • Created a compelling introduction
    • Added specific sections for "Why PostgreSQL?" and post-GSoC plans

  3. Added personal details:

    • Included timezone and working hours
    • Added preferred communication methods
    • Highlighted personal commitment to the project

  4. Enhanced deliverables:

    • Created clearer, more specific deliverables
    • Mapped deliverables to schedule with measurable outcomes
    • Added specific evaluation points for each phase

  5. Created a professional template:

    • Used clean Markdown formatting
    • Implemented consistent visual style
    • Created proper section hierarchy

  6. Added commitment assurances:

    • Detailed time commitment plan
    • Specific accountability mechanisms
    • Clear communication schedule with mentors

  7. Improved project planning:

    • More detailed implementation timeline
    • Clearer technical approach with justifications
    • Better mapping of features to implementation phases