Computer Science
DevOps & CI/CD Challenges
DevOps & CI/CD challenges put you inside the work of shipping software safely and often. You'll develop skills in Version Control with Git, build CI/CD Pipelines, and package services with Docker, then run them through Kubernetes orchestration.
From there you'll handle the harder edges — GitOps, Helm chart authoring, Multi-cluster Kubernetes, Service mesh, and Zero-downtime deploys — working with Ansible / Terraform automation the way platform teams actually do. Each challenge you solve earns a verified credential you can share with recruiters.
- DesignBeginnerNew
Design a Golden-Path Service Template for a Series-D Scale-Up
Design a golden-path template producing a Go (or Node) microservice with: REST + gRPC scaffolding, structured logging (slog or pino), OpenTelemetry tracing, Prometheus metrics, …
- Platform Engineering
- Golden Paths
- Backstage
Platform Engineering - AnalysisIntermediateNew
Cost-Optimize a Misshapen Kubernetes Cluster
Receive 30 days of cluster metrics (Prometheus + AWS Cost Explorer exports), Helm releases, and PodDisruptionBudgets per namespace. Profile: identify the top 3 cost drivers (lik…
- Kubernetes Orchestration
- Finops & Cost Optimization
- AWS Or Azure
Cloud Computing - DesignIntermediateNew
Build a Multi-Tenant SaaS Foundation on Kubernetes
Design the multi-tenant model: namespace-per-tenant for compute isolation, per-tenant Postgres schemas inside a shared RDS instance for data, per-tenant S3 prefixes with bucket …
- Kubernetes Orchestration
- Multi Tenancy Architecture
- AWS Or Azure
Cloud Computing - AnalysisIntermediateNew
Network Privacy Posture Review of a Fintech's Internal Service Mesh
Receive an anonymized service inventory (110 services with owner, data classification, traffic volume buckets) and a sample of east-west traffic logs (5 high-volume service pair…
- Network Privacy
- Mtls
- Service Mesh
Network Security Develop in-demand professional skills.
Each challenge names the skills it strengthens. Over time, your profile fills with the competences a hiring manager would actually look for.
Why Ewance
- DesignIntermediateNew
Build a Multi-Region Online Inference Service with SLAs
Design the topology: model artifact storage, regional inference fleets (Triton, vLLM, or BentoML), traffic router, observability stack (Prometheus + Grafana). Pick a rollout str…
- Inference Serving
- Multi Region Deployment
- Kubernetes Orchestration
Machine Learning Systems
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.
Related skill families
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Sponsor a challenge and meet candidates through actual work.
Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.