Black Friday arrives. Pages slow down. Services fall over. Same story every year.
Traffic spikes from product launches, seasonal events, or viral moments expose every architectural shortcut. Services that ran fine at normal load fall over at 3x. The post-mortem is the same every time: the infrastructure wasn't built to scale, and nobody knew the headroom had run out until users started complaining.
Traffic spikes from product launches, seasonal events, or viral moments expose every architectural shortcut. Services that ran fine at normal load fall over at 3x. The post-mortem is the same every time: the infrastructure wasn't built to scale, and nobody knew the headroom had run out until users started complaining.
Design and ship the scaling fix before the next spike arrives.
We design and deliver the scaling architecture: multi-AZ compute with ASG and Launch Templates, ALB/NLB traffic distribution, caching layers (ElastiCache, CloudFront), and a load-tested observability stack. You know your headroom before the spike arrives — not after.
How we deliver it.
Load testing & bottleneck identification
We run load tests that mirror your real traffic patterns and identify the exact services and database queries that break first.
Multi-AZ compute architecture with ASG
Auto Scaling Groups with Launch Templates across multiple availability zones. Scale-out policies tuned to your actual traffic patterns, not defaults.
ALB/NLB configuration & WAF
Application load balancer with sticky sessions, health checks, and target group routing. WAF rules to absorb traffic anomalies before they hit compute.
Caching strategy (ElastiCache, CloudFront)
ElastiCache for session state and hot data. CloudFront for static assets and cacheable API responses. Cache hit rates measured and optimized.
Observability & alerting before the next spike
Dashboards that show queue depth, p99 latency, and ASG utilization in real time. Alerts fire before saturation, not after.