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Migrating Applications to the Cloud with Azure

You're reading from   Migrating Applications to the Cloud with Azure Re-architect and rebuild your applications using cloud-native technologies

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Product type Paperback
Published in Dec 2019
Publisher
ISBN-13 9781839217470
Length 494 pages
Edition 1st Edition
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Authors (7):
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Amit Malik Amit Malik
Author Profile Icon Amit Malik
Amit Malik
Mohamed Waly Mohamed Waly
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Mohamed Waly
Stefano Demiliani Stefano Demiliani
Author Profile Icon Stefano Demiliani
Stefano Demiliani
Jason Marston Jason Marston
Author Profile Icon Jason Marston
Jason Marston
Sander Rossel Sander Rossel
Author Profile Icon Sander Rossel
Sander Rossel
Sjoukje Zaal Sjoukje Zaal
Author Profile Icon Sjoukje Zaal
Sjoukje Zaal
Sjoukje Zaal Sjoukje Zaal
Author Profile Icon Sjoukje Zaal
Sjoukje Zaal
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Toc

Table of Contents (22) Chapters Close

Preface 1. Planning Application Modernization FREE CHAPTER
2. Strategies for Application Modernization Using Azure 3. Building Your Application Migration Roadmap 4. Implementing Containerization and DevOps in a Development Cycle
5. Getting Started with Docker and Kubernetes 6. Deploying Highly Scalable Apps with Kubernetes 7. Modernizing Apps and Infrastructure with DevOps 8. Building a Web and Microservices Architecture on Azure
9. Designing Web Applications 10. Scalability and Performance 11. Building Microservices with Service Fabric 12. Going Serverless and Deploying to the Cloud
13. Building Scalable Systems with Azure Functions 14. Connecting to the Database 15. Managing and Deploying Your Code 16. Securing Your Azure Services 17. Planning for Security, Availability, and Monitoring
18. Diagnostics and Monitoring 19. Designing for High Availability and Disaster Recovery 20. Assessments 21. Other Books You May Enjoy

Kubernetes and Azure

In the previous section, we looked at running applications that have been packaged inside a Docker container. As the number of application components and scale grows, it becomes harder to manage the overall application's deployment and management, while ensuring availability, by just using the Docker commands. This creates a need for a controller that can do all the heavy lifting of running and managing containers for our application and ensuring that our application deployment remains healthy and available. These controllers sit on top of the Docker engine and orchestrate all the Docker operations based on our application requirements. In this scenario, as DevOps personnel, we only talk to the orchestrator, whereas Docker stays in the background.

There are many container orchestrators, such as the following:

  • Kubernetes
  • Docker Swarm
  • Mesosphere
  • DC/OS
  • ...
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