A digital media company with viral content potential needed infrastructure to handle unpredictable traffic.

Every viral moment crashed the site. The CMS was entirely manual — publishing a single article required 45 minutes of formatting, image optimization, and cross-posting. Analytics were fragmented across 6 different tools with no unified view. Monetization was leaving money on the table because ad placements were static and content recommendations were non-existent. During their biggest traffic surge (2.8M visitors in 48 hours), the site went down for 6 hours.
We rebuilt the infrastructure in three layers. The performance layer introduced edge caching, CDN-first asset delivery, auto-scaling compute, and pre-rendering for the top 200 content pages — designed to handle 10x traffic spikes without intervention. The content operations layer automated the publishing pipeline: writers submit in a headless CMS, and the system handles formatting, image optimization, social media distribution, and email newsletter generation automatically. The analytics layer unified all data sources into a single real-time dashboard showing content performance, audience behavior, and revenue attribution.
The platform sustained a 320% traffic surge during its next viral moment with zero downtime and sub-2-second page loads globally. Content publishing time dropped from 45 minutes to under 5 minutes per article. The unified analytics dashboard revealed that 23% of their content was generating 81% of revenue — enabling strategic content investment decisions. Ad revenue per pageview increased 34% through intelligent placement optimization.
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