Kubernetes and Docker Containers in Practice

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Обучение платное
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4.5 часа курса
Курс от Udemy
Чему вы научились?
Build resilient, scalable and highly available distributed applications running on any platform on-premise or in the cloud.
Secure your distributed applications by using container’s built-in security features and Kubernetes secrets to protect confidential data such as passwords and certificates.
Monitor and troubleshoot your application running in production and allow the application to self-heal.
Develop, test and debug code while it is running inside a container.
Plan, configure and run your first containerized applications in production.
Build apps in containers using Docker and deploy them on Kubernetes.
Improve the configuration and deployment of applications on Azure Cloud.
Create your Azure Container Registry to securely store your container images.
О курсе

From handling versioning to enhancing security and portability, technologies such as Docker and Kubernetes have benefitted application development and cloud deployments. Microsoft offers excellent containerization services with its Azure Container Services, and also supports both Docker and Kubernetes. With the tool docker-compose, developers can then run, scale, test and debug the application, simulating a production like an environment on their development workstations. Docker allows you to package the many application services that are part of your distributed application into self-contained standard packages called containers. If you’re looking to ship and run distributed applications with Docker as well as manage container workloads at scale with Microsoft Azure then this Course is perfect for you!

This comprehensive 2-in-1 Course follows a step-by-step approach and focuses on how to use Docker and Kubernetes to package application services into standardized units of deployment. These units are easy to deploy and run on any platform on-premise and in the cloud. Initially, you’ll write Dockerfiles for each of the application services, develop, test and run service code running inside a container and optimize your Dockerfiles to use multi-stage builds to minimize the size of the resulting Docker images used in production. Moving further, you’ll learn to make an informed decision on Container orchestration in Azure. You’ll also learn to deploy, configure and manage Azure Kubernetes service clusters. Finally, you’ll learn to deploy applications to Azure Kubernetes Service and manage Container workloads at Scale!

By the end of this course, you'll learn all about Docker and Kubernetes and will be able to configure, manage, and deploy applications on Azure Cloud.

Contents and Overview

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Hands-On Kubernetes, and Docker for Distributed Applications covers shipping and running distributed applications anywhere with Docker. 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. 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.

The second course, Containerization with Docker and Kubernetes in Azure, covers getting real with container orchestration in Microsoft Azure. The course focuses on application containerization using a combination of the dynamic duo, Docker and Kubernetes. It will show you how to get hands-on and take advantage of these two tools, alongside Azure Container Services, and improve the configuration and deployment of your applications on Azure Cloud. By the end of this course, you'll learn all about Docker and Kubernetes and will be able to configure, manage, and deploy applications on Azure Cloud.

By the end of this course, you'll containerize your applications to build a production-class container infrastructure in the ‘Kubernetes way’.

About the Authors

Gabriel N. Schenker has more than 25 years of experience as an independent consultant, architect, leader, trainer, mentor, and developer. Currently, Gabriel works as Senior Curriculum Developer at Confluent after coming from a similar position at Docker. Gabriel has a Ph.D. in Physics, and he is a Docker Captain, a Certified Docker Associate, and an ASP Insider. When not working, Gabriel enjoys time with his wonderful wife Veronicah and his children.

Karl Ots is a cloud and cybersecurity consultant, as well as an inventor, author, and international speaker, with a broad range of deep Azure expertise. He believes that cloud technologies are the key to successful digital transformation. He applies his passion and expertise to his work as a Managing Consultant at Zure. With professional experience in the technology field since 2007, Karl has been working with Microsoft Azure since 2011 in a variety of forums ranging from deep customer engagements to speak at large conferences such as Microsoft Ignite. Karl is a Microsoft Most Valuable Professional (MVP) in Azure, a Microsoft Certified Trainer (MCT) and holds the highest level MCSD and MCSE Azure certifications. Karl is a Certified Information Systems Security Professional (CISSP).

  • A Basic Knowledge of Linux and Docker is assumed.
  • No prior knowledge of Kubernetes is required.
Packt Publishing
Packt Publishing
Tech Knowledge in Motion
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