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E-Commerce / RetailReference Scenario
How We'd Rescue an E-Commerce Platform Before Black Friday
An engagement blueprint for a performance rescue: a structured audit-first approach to an e-commerce platform that slows to a crawl under peak load — fixing root causes instead of adding servers.
Type: Illustrative engagement blueprint — not a client claim
Timeline: 2–3 months
2–3 months
Timeline
€15–35K
Budget Range
Founder-led
Staffing
These are example engagements — illustrative blueprints that show how we work, not client claims. Cloudrix launched in 2026 (KVK 97732699); we'd rather show you exactly how we approach real problems than invent testimonials. Your project could be our first named case study — early clients get featured placement and case-study pricing.
The Typical Situation
The typical situation: a mid-market retailer loses revenue every peak shopping period. Pages take many seconds to load under traffic, cart abandonment climbs, and the site has crashed during previous Black Friday events. A previous agency treated symptoms (bigger servers) without finding the architectural causes.
How We'd Approach It
We'd run a one-week diagnostic first — real-user monitoring, load testing with k6, query analysis — and present findings before proposing fixes, so you can verify the diagnosis independently. Typical root causes in this scenario: unoptimized queries, missing caching, synchronous third-party API calls in the checkout path, and oversized frontend bundles. The remediation plan usually combines a multi-layer Redis caching strategy, server-side rendering with Next.js for critical pages, CDN edge caching, and moving inventory checks and payment validation to asynchronous processing. Then we'd load-test to an agreed traffic multiple before peak season — and publish the test results to you, whatever they show.
What You'd Get
- One-week performance diagnostic with evidence-backed root-cause report
- Prioritized remediation plan with effort estimates per fix
- Caching architecture (Redis + CDN edge) with cache-invalidation strategy
- Core Web Vitals optimization for critical purchase-path pages
- Load-test report at an agreed peak-traffic multiple, shared in full
- Peak-season runbook: monitoring dashboards, alert thresholds, rollback plan
Typical Stack
Next.jsNode.jsRedisPostgreSQLCloudflare CDNAWSDatadogLighthouse
Become our first named case study
No anonymous testimonials here — we don't have named clients to quote yet, and we won't invent them. If this scenario looks like your project, you'll get founder-level attention and case-study pricing; in exchange, if (and only if) you're happy with the result, your project becomes the first real case study on this site.
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