keephq/keep
Jun 2026 – Jun 2026
1 Month active
Languages Used
No languages
Technical Skills
FastAPIJestPytestPythonReactSQLAlchemy
Srujan
PROFILE
Srujan
Worked on the keephq/keep repository to deliver a performance-focused enhancement to the alerting workflow, introducing an efficient alert update flow. This feature leveraged fingerprint-based batch updates by including fingerprints in the poll-alerts WebSocket payload, enabling the backend to fetch alerts by fingerprint and the frontend to patch only visible rows instead of refreshing the entire UI. The approach reduced unnecessary data fetching and improved real-time responsiveness during alert updates, resulting in faster interactions and lower server load. The work demonstrated proficiency in FastAPI, React, and WebSockets, with a focus on scalable, incremental updates and end-to-end coordination across services.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
489
Activity Months1
Your Network
58 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 — Keephq/keep delivered a performance-focused enhancement to the alerting workflow. Key feature delivered: Efficient Alert Update Flow with Fingerprint-based Fetch and Partial UI Patch. This included a batch update mechanism for alerts by including fingerprints in the poll-alerts WebSocket payload; a backend API endpoint to fetch alerts by fingerprint; and frontend changes to patch visible rows instead of performing a full refresh, reducing data fetching and improving UI responsiveness during alert updates. No major bugs fixed this month. Overall impact: faster alert interactions, reduced server load, and more scalable real-time alert handling. Technologies/skills demonstrated: WebSocket payload optimization, backend API design, frontend incremental patch strategy, and end-to-end coordination across services (commit bdf2619816045270b603a3d76950758a09f6beb3).
1 Commits • 1 Features
Jun 1, 2026June 2026 — Keephq/keep delivered a performance-focused enhancement to the alerting workflow. Key feature delivered: Efficient Alert Update Flow with Fingerprint-based Fetch and Partial UI Patch. This included a batch update mechanism for alerts by including fingerprints in the poll-alerts WebSocket payload; a backend API endpoint to fetch alerts by fingerprint; and frontend changes to patch visible rows instead of performing a full refresh, reducing data fetching and improving UI responsiveness during alert updates. No major bugs fixed this month. Overall impact: faster alert interactions, reduced server load, and more scalable real-time alert handling. Technologies/skills demonstrated: WebSocket payload optimization, backend API design, frontend incremental patch strategy, and end-to-end coordination across services (commit bdf2619816045270b603a3d76950758a09f6beb3).
June 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance100.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
No languages yet
Technical Skills
FastAPIJestPytestPythonReactSQLAlchemyTypeScriptWebSockets
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