What level of Docker Desktop expertise do I need for basic application deployment versus complex microservices?
Basic deployment requires intermediate skills - understanding Dockerfiles, networking, and volumes. Complex microservices need advanced expertise including orchestration, service discovery, load balancing, and production security practices.
How can I verify someone actually knows Docker Desktop beyond just listing it on their resume?
Ask them to walk through containerizing a real application, explain how they'd handle data persistence, or troubleshoot a networking issue between containers. Real expertise shows in their ability to explain trade-offs and best practices.
Can Docker Desktop handle our database and persistent data requirements?
Yes, but with important caveats. Docker handles databases well with proper volume management and backup strategies. However, production databases often need additional considerations like clustering, replication, and specialized storage that require advanced Docker knowledge.
How does Docker Desktop work with our existing AWS/Azure/Google Cloud setup?
Docker Desktop integrates seamlessly with all major cloud providers through their container registries (ECR, ACR, GCR) and orchestration services (EKS, AKS, GKE). You can build locally and deploy to any cloud platform.
How long does it take to containerize an existing application or set up a Docker workflow?
Simple applications can be containerized in days to weeks. Complex multi-service applications typically take 1-3 months. Setting up proper CI/CD pipelines and production-ready configurations usually adds another month to the timeline.
What ongoing maintenance is needed after implementing Docker Desktop?
Expect regular image updates, security patches, monitoring container performance, and occasional troubleshooting of networking or storage issues. Most teams need someone with Docker expertise available for ongoing optimization and problem-solving.