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Can you explain your experience with Docker and Kubernetes?

Cloud/Toolseasy0.4 min readPremium

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Asked at 1 company

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Interview Pro Tip

Red Flag: 'We use Docker' without K8s context or scaling. Pro-Move: 'Spark on K8s—autoscale 0-100 executors; spot for batch; 40% cost savings vs. static cluster.'

Key Concepts Tested

Expert AnswerPremium

84 wordsInterview-ready

Why containers: Reproducibility—dev = prod; isolation; portability. Why K8s: Orchestration at scale; auto-scaling; declarative config. Architectural logic: Docker: Dockerfile defines image; multi-stage builds for smaller images. Use for Airflow, dbt, Spark jobs. K8s: Deployments for services; Spark operator for job submission; ConfigMaps/Secrets for config. Scalability: HPA for scaling; resource limits prevent noisy neighbors. Trade-offs: K8s adds complexity; overkill for simple pipelines....

The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Thoughtworks. The answer also includes follow-up discussion points that interviewers commonly explore.

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