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Learning Windows Server Containers

Learning Windows Server Containers

By : Machiraju
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Learning Windows Server Containers

Learning Windows Server Containers

3 (2)
By: Machiraju

Overview of this book

Windows Server Containers are independent, isolated, manageable and portable application environments which are light weight and shippable. Decomposing your application into smaller manageable components or MicroServices helps in building scalable and distributed application environments. Windows Server Containers have a significant impact on application developers, development operations (DevOps) and infrastructure management teams. Applications can be built, shipped and deployed in a fast-paced manner on an easily manageable and updatable environment. Learning Windows Server Containers teaches you to build simple to advanced production grade container based application using Asp.Net Core, Visual Studio, Azure, Docker and PowerShell technologies. The book teaches you to build and deploy simple web applications as Windows and Hyper-V containers on Windows 10 and Windows Server 2016 on Azure. You will learn to build on top of Windows Container Base OS Images, integrate with existing images from Docker Hub, create custom images and publish to Hub. You will also learn to work with storage containers built using Volumes and SQL Server as container, create and configure custom networks, integrate with Redis Cache containers, configure continuous integration and deployment pipelines using VSTS and Git Repository. Further you can also learn to manage resources for a container, setting up monitoring and diagnostics, deploy composite container environments using Docker Compose on Windows and manage container clusters using Docker Swarm. The last chapter of the book focuses on building applications using Microsoft’s new and thinnest server platform – Nano Servers.
Table of Contents (13 chapters)
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Master-slave configuration


Each of the solutions discussed previously have their own pros and cons. If a Redis container configured to save data to file fails, there are chances of losing the data; on the other hand, if it is configured to use AOF type persistence the new container might take more time to replay the logs. To build reliable and high performance web applications, the underlying sub-systems should also be available and performing as well. The ideal solution for promising round-the-clock availability is replication. Redis contains a built-in replication feature which is simple yet effective. Redis allows the master to save exact copies of itself as slaves. It uses asynchronous replication while copying data to slaves which increases the reliability of the cache service: since master is not kept busy during replication, the performance of the upstream systems during replication are not impacted. Further slaves can also talk to other slaves in a cascading style so that writes...

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