Kubernetes for Developers, Video Edition
Kubernetes for Developers, Video Edition
English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 9h 18m | 1.37 GB
A clear and practical beginner’s guide that shows you just how easy it can be to make the switch to Kubernetes!
Kubernetes for Developers, Video Edition reveals practical and painless methods for deploying your apps on Kubernetes even for small-to-medium sized applications! You’ll learn how to migrate your existing apps onto Kubernetes without a rebuild, and implement modern cloud native architectures that can handle your future growth.
Inside, you’ll learn how to:
- Containerize a web application with Docker
- Host a containerized app on Kubernetes with a public cloud service
- Save money and improve performance with cloud native technologies
- Make your deployments reliable and fault tolerant
- Prepare your deployments to scale without a redesign
- Monitor, debug and tune application deployments on Kubernetes
Designed for busy working developers, this hands-on guide helps your first steps into Kubernetes using the powerful Google Kubernetes Engine (GKE) service. Learn how the GKE’s powerful automation tools can perform automatic checks and scaling, giving you more time to spend developing great applications. You’ll soon see that you don’t need to incur huge costs or have the manpower of an enterprise organization to get a productivity boost from Kubernetes!
Modern software needs to perform at scale while effectively handling load balancing, state and security. Kubernetes makes these tasks easier and more reliable for apps of any size. This Kubernetes for Developers, Video Edition, written especially for software developers creating applications that run on Kubernetes, shows you exactly how to address these and other important issues.
Kubernetes for Developers, Video Edition covers everything you need to know to containerize and deploy an app on Kubernetes from the developer’s perspective. You’ll start by creating a small application you can run on a cloud-based Kubernetes cluster. Then, you’ll systematically explore best practices for stable long-term deployment, including scaling, capacity planning, and resource optimization.
