Kubernetes Masterclass for Application Developers

What you’ll learn:

  • Understand how Kubernetes operates in a cluster-setup
  • Learn about the most important Kubernetes resources which can be found in any Kubernetes deployment
  • Be able to debug an application that runs in Kubernetes
  • Design and implement a Kubernetes setup for a new application
  • Create and access a Kubernetes cluster in AWS
  • Understand the best practices for secret management in Kubernetes
  • Learn to configure rollout strategies in Kubernetes to enable zero-downtime releases

I’m a Software Engineer with over 10 years of experience in developing enterprise-grade applications, based in Bucharest, Romania.

I am a self-learner, truly passioned about the technology, focused on gaining new skills, building outstanding professional relationships and deeply understanding the underlying concepts of the technologies I interact with.

My expertise revolves around JVM-based applications and surrounding systems/techniques for container management, deployment workflows, monitoring and alerting, performance optimization, code quality, resource efficiency, and many others.

Description:

IntroThis course is the best online resource you need to level up your career by learning Kubernetes from scratch, through hands-on and visual lectures. Kubernetes is widely used by lots of companies around the world for its stability, versatility and extensibility. It’s the engine behind many microservices-based architectures and it powers businesses of billions of dollars.The goal of this course is to teach you the backbone of Kubernetes, which consists of the most essential Kubernetes resources which can be found in any application setup deployed with Kubernetes: Pods, ReplicaSets, Deployments, Services, Ingresses, ConfigMaps, Secrets, PersistentVolumes, and many others. In addition, you’ll learn how to discover and adapt to new configurations, because Kubernetes is a platform in active development, so having a strong foundation will make you adaptable enough to learn new resources and build new Kubernetes deployments in the future.

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