CPU EFFICIENCY
Resource Optimization
OPEX SAVINGS
Daily Networking
VIDEO DELIVERY
Transcoding Speed
STABILITY
Crash Reduction
The existing infrastructure was facing high operational costs, slow processing, and performance bottlenecks impacting scalability.
High networking costs and excessive CPU/GPU mapping caused unsustainable financial burn.
Transcoding took up to 6 hours with no DRM workflow, limiting content freshness.
CPU consistently hit 99%, leading to frequent app crashes and user trust issues.
Laggy performance on mobile/web and lack of monetization integration restricted growth.
Detailed before and after performance mapping.
OPEX COST REDUCTION
| Metric | Before | After | Impact |
|---|---|---|---|
| CPU Cores | 32 Cores | 4 Cores | -87.5% |
| CPU Usage | 99% | 15% | -84% |
| GPU Nodes | 3 GPUs | 1 GPU | -66% |
| Transcoding Time | 6 Hours | < 30 Minutes | -92% |
| Daily Network Cost | ₹5,000 | ₹600 | -88% |
| App Crash Rate | High Frequency | 90% Reduction | +90% Stable |
| Content Delivery | Slow/Direct | CDN Optimized | Zero Lag |
| User Experience | Laggy | Smooth & Fluid | High NPS |
Technical reliability directly drives user engagement. Since optimization, student onboarding has seen accelerating exponential growth.
38.9%
Jan Peak Growth
90%
Uptime Increase
Maintaining zero-downtime during massive infrastructure migration.
Ensuring content protection while reducing transcoding overhead.
Managing peak concurrent users during exam cycles.
1. Efficiency is Business: Infrastructure costs directly impact product scalability and runway.
2. UX Wins: Page speed and crash-free sessions are the primary drivers of user retention in EdTech.
3. No Compromise: Cost reduction doesn't mean performance degradation—it means intelligent engineering.

Founder – Competishun

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