Migrating Linux To Microsoft Azure

Download Migrating Linux To Microsoft Azure PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Migrating Linux To Microsoft Azure book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Migrating Linux to Microsoft Azure

Author: Rithin Skaria
language: en
Publisher: Packt Publishing Ltd
Release Date: 2021-07-28
Discover expert guidance for moving on-premises virtual machines running on Linux servers to Azure by implementing best practices and optimizing costs Key FeaturesWork with real-life migrations to understand the dos and don'ts of the processDeploy a new Linux virtual machine and perform automation and configuration managementGet to grips with debugging your system and collecting error logs with the help of hands-on examplesBook Description With cloud adoption at the core of digital transformation for organizations, there has been a significant demand for deploying and hosting enterprise business workloads in the cloud. Migrating Linux to Microsoft Azure offers a wealth of actionable insights into deploying Linux workload to Azure. You'll begin by learning about the history of IT, operating systems, Unix, Linux, and Windows before moving on to look at the cloud and what things were like before virtualization. This will help anyone new to Linux become familiar with the terms used throughout the book. You'll then explore popular Linux distributions, including RHEL 7, RHEL 8, SLES, Ubuntu Pro, CentOS 7, and more. As you progress, you'll cover the technical details of Linux workloads such as LAMP, Java, and SAP, and understand how to assess your current environment and prepare for your migration to Azure through cloud governance and operations planning. Finally, you'll go through the execution of a real-world migration project and learn how to analyze and debug some common problems that Linux on Azure users may encounter. By the end of this Linux book, you'll be proficient at performing an effective migration of Linux workloads to Azure for your organization. What you will learnGrasp the terminology and technology of various Linux distributionsUnderstand the technical support co-operation between Microsoft and commercial Linux vendorsAssess current workloads by using Azure MigratePlan cloud governance and operationsExecute a real-world migration projectManage project, staffing, and customer engagementWho this book is for This book is for cloud architects, cloud solution providers, and any stakeholders dealing with migration of Linux workload to Azure. Basic familiarity with Microsoft Azure would be a plus.
Designing Distributed Systems

Author: Brendan Burns
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2018-02-20
Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient. Author Brendan Burns—Director of Engineering at Microsoft Azure—demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. Understand how patterns and reusable components enable the rapid development of reliable distributed systems Use the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machine Explore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the components Learn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows
Modernizing Legacy Applications to Microsoft Azure

Move legacy applications to a hyper-scale cloud such as Azure using best practices and surefire techniques Key Features Meet the needs of mainframe applications using hyper-scale platform Move from a monolithic architecture to a modern cloud architecture by employing a perspective plan Avoid the big bang approach to modernization when in need of a phased approach Purchase of the print or Kindle book includes a free PDF eBook Book Description Organizations have varying circumstances, objectives, and prerequisites when contemplating a hyper-scale cloud solution transformation to a platform such as Azure. Modernizing Legacy Applications to Microsoft Azure uncovers potential scenarios and provides choices, methodologies, techniques, and prospective possibilities for transitioning from legacy applications to the Microsoft Azure environment. You’ll start by understanding the legacy systems and the main concerns regarding migration. Then, you’ll investigate why distributed architectures are compelling and the various components of the Azure platform needed during migration. After that, you’ll explore the approaches to modernizing legacy applications and the Rs of modernizing (i.e., rehost, refactor, rearchitect, and retire). You’ll also learn about integration approaches and potential pitfalls. By the end of this book, you’ll be well equipped to modernize your legacy workloads while being aware of pitfalls and best practices. What will you learn Understand your current legacy estate's options before moving to Azure Move to a cloud environment from your legacy applications Build equivalent or superior application SLAs in Azure Use interoperability to enable a phased approach Integrate DevOps to help accelerate modernization Extend application functionality after migration Who this book is for This book is for both decision makers and implementers including CIOs, CTOs, data and application architects, developers (both legacy and cloud), and business strategists. Prior knowledge of legacy languages and modern cloud-based languages like C#/.NET and Java would be helpful.