Kubernetes orchestration
If you like applying Kubernetes orchestration, every challenge here gives you a chance to practice it on a real industry brief.
- CodeBeginnerNew
Tune Autoscaling for a Cost-Sensitive Workload with HPA + KEDA
Receive the service's current Deployment + HorizontalPodAutoscaler config (static 12-20 replicas), 90 days of traffic logs + Kafka-lag metrics, and the SLA (p99 < 250ms, error r…
- Kubernetes
- Autoscaling
- Keda
Container Orchestration with Kubernetes - DesignBeginnerNew
Design a Golden-Path Service Template for a Scaling SaaS Platform Team
Using the current-state assessment (provided), the platform team's golden-path requirements specification (provided), and the baseline deployment-metrics dataset (provided), des…
- Platform Engineering
- Golden Paths
- Backstage
Open coursework
DesignBeginnerNewMove an EdTech Platform's 4 Clusters to GitOps with ArgoCD
Using only the materials provided — the migration case file (incident_dossier), the service inventory dataset (service_inventory), and the platform team's target-state brief (ta…
- Argocd
- Kubernetes
- Kustomize
Open coursework- AnalysisBeginnerNew
Right-Size a Real-Time Recommendation Serving Cluster
You receive 7 days of request-level telemetry (timestamp, latency, error code, pod) plus the existing Horizontal Pod Autoscaler (HPA) and node-group configs. Analyze traffic pat…
- Model Serving
- Kubernetes
- Autoscaling
Machine Learning at Scale Practice your coursework on real scenarios.
Every challenge is shaped from real-world context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
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