High-Scale Platform Stabilization & Performance Optimization

A large national-scale digital system serving over 500,000 daily users was facing severe performance degradation, downtime, and concurrency failures. Nebula was engaged to assess, stabilize, and re-architect critical areas of the platform to support reliable growth and high availability.

Massive scale & usage

Critical performance issues

Backend instability

Intervention & transformation

Main issue & challenges

Continuous spikes in database CPU usage (consistently reaching 100%), slow response times, and cascading backend failures rendered the platform unstable, especially during peak traffic periods.

application layer inefficiency

database saturation

server & deployment misconfiguration

concurrency & load failures

Our Approach

Assessment & Health Checks

We executed a full infrastructure and codebase diagnostic, including:

Infrastructure health checks & load testing
Database query profiling (EXPLAIN plans, APM tools)
Web server configuration review
Network latency tracing & frontend inspection
CI/CD pipeline audits

Performance Bottleneck Analysis

Key findings included:

N+1 query patterns across multiple endpoints
Slow unindexed queries joining large tables
Blocking operations inside synchronous API calls
Lack of caching strategy (server-side or CDN)
Missing query pagination for large result sets

Stabilization & Optimization

Nebula implemented architectural and tactical fixes:

Eliminated N+1 patterns & introduced efficient pagination
Created missing indexes & refactored slow queries
In-memory caching (Redis) with invalidation policies
Async processing via job queues for heavy workloads
Nginx tuning, CDN optimization & zero-downtime deployments

Monitoring & Observability

To prevent regression, we deployed:

Real-time APM dashboards & slow query alerts
Error rate & latency observability
Infrastructure metrics for autoscaling
Synthetic tests for uptime validation

After implementation, the platform achieved dramatic improvements across performance, stability, and scalability

15-35 %

DB CPU Utilization/under peak

~ 120-300 MS

Average Latency

Daily Downtime/Critical

~ 0

Failed Requests/Nearly eliminated

> 65-85 %

Cache Hit Ratio/Depending on endpoint

500K +

Supported Users/Stable with headroom

Diagnose at Scale

Rapidly audit complex systems under real traffic

Engineer for High Concurrency

Support hundreds of thousands to millions of users

Optimize End-to-End

From web server tuning down to query plans and frontend calls

Modernize Architecture

Introducing caching, async workloads, observability, and scaling patterns

Deliver Measurable Business Impact

Stability - trust - adoption - successful platform continuity

Nebula transformed a critical national platform from unstable and overloaded to performant, observable, and scalable, without disrupting active users. This success story reflects Nebula’s philosophy: deep technical rigor, structured processes, and clean execution that scales with real-world usage.