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Migrating Applications to the Cloud with Azure

Migrating Applications to the Cloud with Azure

By : Sjoukje Zaal, Amit Malik, Rossel, Marston, Mohamed Waly, Stefano Demiliani
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Migrating Applications to the Cloud with Azure

Migrating Applications to the Cloud with Azure

By: Sjoukje Zaal, Amit Malik, Rossel, Marston, Mohamed Waly, Stefano Demiliani

Overview of this book

Whether you are trying to re-architect a legacy app or build a cloud-ready app from scratch, using the Azure ecosystem with .NET and Java technologies helps you to strategize and plan your app modernization process effectively. With this book, you’ll learn how to modernize your applications by using Azure for containerization, DevOps, microservices, and serverless solutions to reduce development time and costs, while also making your applications robust, secure, and scalable. You will delve into improving application efficiency by using container services such as Azure Container Service, Azure Kubernetes Service (AKS), and more. Next, you will learn to modernize your application by implementing DevOps throughout your application development life cycle. You will then focus on increasing the scalability and performance of your overall application with microservices, before learning how to add extra functionality to your application with Azure serverless solutions. Finally, you’ll get up to speed with monitoring and troubleshooting techniques. By the end of this book, you will have learned how to use the Azure ecosystem to refactor, re-architect, and rebuild your web, mobile, and desktop applications.
Table of Contents (22 chapters)
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1
Planning Application Modernization
4
Implementing Containerization and DevOps in a Development Cycle
8
Building a Web and Microservices Architecture on Azure
12
Going Serverless and Deploying to the Cloud
17
Planning for Security, Availability, and Monitoring

Azure Log Analytics

Azure Log Analytics is a service that collects and analyzes log files from various Azure resources and on-premises resources. It can collect all of the data in a single workspace and offers a query language to query data.

You can integrate various resources into Log Analytics, such as data from VMs, by installing an agent on Windows and Linux VMs. Alternatively, you can connect to System Center Operations Manager to collect telemetry from existing agents. Most Azure resources are already integrated into Log Analytics. You only need to create a workspace from the Azure portal to collect the data from them. You can then query the data from the workspace directly using the query language, or you can use analysis tools that can analyze the data. Some examples of analysis tools are Operations Management Suite, Azure Security Center, and Application Insights...

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