Cloud Metrics & BigQuery Analytics UI
Real-time infrastructure intelligence dashboard visualizing multi-region telemetry data.
The Friction & Obstacles
Cloud operations teams struggled with sluggish data tables, high memory footprints during live log streaming, and unintuitive metric slicing.
Engineered Resolution
Constructed a virtualized data engine with canvas-accelerated graph renderers, instant query cache layers, and an intuitive SQL query inspection sandbox.
How it was engineered
Dual-tier streaming engine with buffered WebSocket log ingest and virtualized DOM rendering for effortless million-row browsing.
Node.js Streaming Pipeline
Handles live WebSocket payload batching with backpressure management.
Canvas / SVG Charts + React Virtualization
Zero DOM lag rendering 100,000+ continuous timeline points.
Zustand + IndexedDB Local Caching
Instant filter recalculation and offline persistence.
- Applied memory pooling in JS to eliminate garbage collection pauses during log streaming
- Engineered virtual list algorithm for variable row height telemetry events
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