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This post is a solid overview of why Docker + Kubernetes training is so valuable for real production work—because it teaches the full journey from packaging an app consistently (Docker images, tagging, registries, networking, volumes) to running it reliably at scale (Kubernetes deployments, services, ingress, config/secrets, autoscaling, rolling updates, and rollback). What matters most for learners is the hands-on side: building and troubleshooting containers, understanding resource requests/limits, solving common cluster issues (DNS, image pull errors, crash loops), and learning operational best practices like observability, security basics, and Git-based deployment workflows. For Bangalore’s fast-moving tech teams, these skills translate directly into better release speed, fewer “it works on my machine” problems, and more resilient systems in cloud-native environments.
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