PACKT HANDS ON KUBERNETES AND DOCKER FOR DISTRIBUTED APPLICATIONS
English | Size: 143.20 MB
Category: Tutorial
If you have a mission critical application that needs to be up and running 24/7 and each outage would cost you a lot of money and reputation then it is important that you have the right tools and processes in place to handle this requirement. Docker allow you to package the many application services that are part of your distributed application into self contained standard packages called containers. With the tool docker-compose developers can then run, scale, test and debug the application, simulating a production like environment on their development workstations.
This course shows you how Docker can be used to isolate your application services and their dependencies into a single self-contained unit that can reliably run anywhere. You will learn to build, ship and run distributed applications on any platform using Kubernetes as the orchestrator.
With Docker containers, your applications can run smoothly without you worrying about the environment where they run. This aids in improved security, better scalability, resilience and fault-tolerance, making life easier for developers and operators alike who need a standardized deployment and operations model.
By the end of this course you will be able to use Docker and Kubernetes to build distributed applications that are scalable, resilient, fault tolerant and secure. Furthermore you will be able to deploy these applications to any Kubernetes cluster running on any platform on premise or in the cloud.
This video takes a step-by-step approach and focuses on how to use Docker and Kubernetes to package their application services with all their dependencies into standardized units of deployment. These units are easy to deploy and run on any platform on premise and in the cloud.
Build, ship and run scalable, resilient, fail-safe and secure distributed applications anywhere using Docker and Kubernetes
More info:
https://www.packtpub.com
Install notes:
Unrar, Learn and Enjoy!
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