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Introduction to Kubernetes
4.8(1,550)18k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
This intermediate DevOps course provides a practical dive into Kubernetes, the industry standard for container orchestration. It equips tech professionals with hands-on command-line skills using kubectl to deploy, manage, and scale cloud-native applications across real Kubernetes clusters.
Who It's For
DevOps engineers, cloud practitioners, and developers who want to master cluster orchestration, stateful applications, and containerized application deployments.
Key Takeaways
- kubectl Masterclass: Gain fluency using kubectl to interact with live Kubernetes clusters and manage objects.
- Manifests & Objects: Write Kubernetes manifests to orchestrate containers and maintain cloud-native software architectures.
- Storage & Networking: Master intermediate concepts including stateful application management, persistent storage, and cluster networking.
- MLOps Integration: Apply orchestrations to real-world distributed workloads and modern MLOps pipelines.
About this course
Kubernetes is a solution that orchestrates and maintains containerized applications effectively. Since its introduction in 2014 by Google, this open-source system has developed into the tool of choice for managing all kinds of distributed workloads. It is an essential part of today's DevOps world, helping to develop and deploy scalable applications and workflows of any kind.
In this course, you'll become a Kubernetes champ with hands-on experience using Kubernetes on the command line. You will master kubectl, the Kubernetes command line tool, and use it to interact with real Kubernetes clusters. You will learn the fundamentals of Kubernetes and understand how to deploy and orchestrate containers using Manifests and kubectl instructions.
After an introduction to Kubernetes and its relation to modern software architecture and cloud-nativeness, you will learn your first Kubernetes objects and how to apply them like a pro.
As you progress, you'll learn about more advanced concepts like stateful applications, storage, and networking. To wrap up, you will use these concepts in an exemplary MLOps workflow.
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