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Tune Autoscaling for a Cost-Sensitive Workload with HPA + KEDA

FreeVerified credential3 weeksIntermediate

Overview

What this challenge is about.

Tune HPA + KEDA autoscaling for an e-commerce platform using Kafka lag and Prometheus metrics. Deliver a cost-and-SLA report and a verifiable certificate.

The scenario

The brand (planning Black Friday + Boxing Day + 4 flash sales in the next quarter) cannot keep paying for 4x over-provisioning every off-peak hour.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

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

Replace static replicas with HPA + KEDA autoscaling driven by 3 triggers and prove 35-50 percent cost reduction without breaching SLA across off-peak / peak / flash-sale phases.

Earning criteria — what you'll demonstrate

  • Combine HPA, KEDA, and Prometheus-based triggers correctly
  • Tune scaler cooldown + polling to avoid thrashing
  • Build a traffic-replay harness that exercises real phases
  • Quantify cost vs. SLA trade-offs with evidence

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Container Orchestration with Kubernetes

Master · Cloud And Devops

Strong alignment

This challenge maps to Container Orchestration with Kubernetes 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.