Skip to contentSkip to content
Verified credentials. On-chain. Forever.Learn more
Ewance
Sign in
Cover image for Capacity Planning Model for a Black-Friday Traffic Surge
Analysis

Capacity Planning Model for a Black-Friday Traffic Surge

FreeVerified credential4 weeksAdvanced

Overview

What this challenge is about.

Build a capacity planning model for Black-Friday traffic using Prometheus data and Prophet. Deliver Python code and a proposal. Get a verifiable certificate.

The scenario

The e-commerce platform (around 65 percent of holiday revenue concentrated in BFCM weekend) cannot afford either a meltdown or 60 percent over-provisioning — the proposal is the trade-off made explicit.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Replace 60 percent over-provisioning with a forecast-driven capacity-planning model validated against 3 prior BFCMs, including autoscaling + pre-warm playbook.

Earning criteria — what you'll demonstrate

  • Apply seasonal forecasting (Prophet / SARIMA) to operational traffic data
  • Derive per-service capacity from utilization curves and headroom policy
  • Design autoscaling that respects warm-up time and scale-in safety
  • Validate capacity models against prior peak events

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Site Reliability Engineering

Master · Cloud And Devops

Strong alignment

This challenge maps to Site Reliability Engineering at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.

One more thing

You can put a credential on your CV by Friday.

Capacity Planning Model for a Black-Friday Traffic Surge