Docker
Use a project where Docker changes a real implementation decision. Show the code, artifact, test, metric or operational evidence behind the claim.
Show automation, infrastructure, observability, rollback thinking and service reliability.
A portfolio is stronger when each project makes one or two important capabilities easy to inspect instead of trying to mention every technology at once.
Use a project where Docker changes a real implementation decision. Show the code, artifact, test, metric or operational evidence behind the claim.
Use a project where CI/CD changes a real implementation decision. Show the code, artifact, test, metric or operational evidence behind the claim.
Use a project where Cloud changes a real implementation decision. Show the code, artifact, test, metric or operational evidence behind the claim.
Use a project where Infrastructure as code changes a real implementation decision. Show the code, artifact, test, metric or operational evidence behind the claim.
Use a project where Monitoring changes a real implementation decision. Show the code, artifact, test, metric or operational evidence behind the claim.
Use a project where Reliability changes a real implementation decision. Show the code, artifact, test, metric or operational evidence behind the claim.
Choose one project you can finish, deploy and explain deeply. Quality of proof matters more than collecting unfinished repositories.
Deploy a service with infrastructure-as-code, CI/CD, health checks, secrets, logging and rollback notes.
Operate a small app on Kubernetes with probes, autoscaling, config, secrets and observability.
Create build, test, security scan, artifact and deployment stages with safe rollback.
Instrument a service with logs, metrics, traces, dashboards and an error-budget policy.
Provision repeatable dev/stage infrastructure with modules, remote state and policy checks.
Inject controlled failures, measure detection/recovery and improve a service runbook.
These are optional signals from official issuers, not requirements for the role. When a pasted job explicitly mentions a credential, SkillChirp can surface it separately from project skill coverage.
Foundational AWS credential for cloud concepts, AWS services, security, architecture, pricing and support.
Architecture-focused AWS credential covering secure, resilient, high-performing and cost-aware cloud solutions.
Operations-focused AWS credential for deploying, managing, monitoring and operating workloads.
Foundational Azure credential covering cloud concepts, Azure architecture and services, management and governance.
Azure operations credential covering identities, governance, storage, compute, virtual networking and monitoring.
Google Cloud credential for setting up, deploying, securing, operating and monitoring cloud solutions.
Advanced Google Cloud credential focused on designing and managing secure, scalable cloud architecture.
Professional credential centered on reliable delivery, SRE practices, CI/CD, observability and service performance.
Choose the project that best fills a gap in your current portfolio rather than the one with the longest technology list.
Keep scope small enough to finish. A deployed, testable core gives you more evidence than an ambitious unfinished system.
Explain architecture, constraints, failure states, testing and what you would change with more time.
Use SkillChirp discovery and Battles where appropriate to expose the project to outside feedback instead of leaving it hidden in a repository.
After you ship it, use the rest of SkillChirp to get discovery, validation and feedback instead of leaving the work hidden in a repository.