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Cloud-Programmierung
José Ángel Fernández, Manuel Lázaro Ramírez
Cloud observability is complex and costly due to the use of hybrid and multi-cloud infrastructure as well as various Azure tools, hampering IT teams’ ability to monitor and analyze issues. The authors distill their years of experience with Microsoft to share the strategic insights and practical skills needed to optimize performance, ensure reliability, and navigate the dynamic landscape of observability on Azure.You’ll get an in-depth understanding of cloud observability and Azure Monitor basics, before getting to grips with the configuration and optimization of data sources and pipelines for effective monitoring. You’ll learn about advanced data analysis techniques using metrics and the Kusto Query Language (KQL) for your logs, design proactive incident response strategies with automated alerts, and visualize reports via dashboards. Using hands-on examples and best practices, you’ll explore the integration of Azure Monitor with Azure Arc and third-party tools, such as Datadog, Elastic Stack, or Dynatrace. You’ll also implement artificial intelligence for IT Operations (AIOps) and secure monitoring for hybrid and multi-cloud environments, aligned with emerging trends.By the end of this book, you’ll be able to develop robust and cost-optimized observability solutions for monitoring your Azure infrastructure and apps using Azure Monitor.
Cloud Scale Analytics with Azure Data Services. Build modern data warehouses on Microsoft Azure
Azure Data Lake, the modern data warehouse architecture, and related data services on Azure enable organizations to build their own customized analytical platform to fit any analytical requirements in terms of volume, speed, and quality.This book is your guide to learning all the features and capabilities of Azure data services for storing, processing, and analyzing data (structured, unstructured, and semi-structured) of any size. You will explore key techniques for ingesting and storing data and perform batch, streaming, and interactive analytics. The book also shows you how to overcome various challenges and complexities relating to productivity and scaling. Next, you will be able to develop and run massive data workloads to perform different actions. Using a cloud-based big data-modern data warehouse-analytics setup, you will also be able to build secure, scalable data estates for enterprises. Finally, you will not only learn how to develop a data warehouse but also understand how to create enterprise-grade security and auditing big data programs.By the end of this Azure book, you will have learned how to develop a powerful and efficient analytical platform to meet enterprise needs.
Securing resources in the cloud is challenging, given that each provider has different mechanisms and processes. Cloud Security Handbook helps you to understand how to embed security best practices in each of the infrastructure building blocks that exist in public clouds.This book will enable information security and cloud engineers to recognize the risks involved in public cloud and find out how to implement security controls as they design, build, and maintain environments in the cloud. You'll begin by learning about the shared responsibility model, cloud service models, and cloud deployment models, before getting to grips with the fundamentals of compute, storage, networking, identity management, encryption, and more. Next, you'll explore common threats and discover how to stay in compliance in cloud environments. As you make progress, you'll implement security in small-scale cloud environments through to production-ready large-scale environments, including hybrid clouds and multi-cloud environments. This book not only focuses on cloud services in general, but it also provides actual examples for using AWS, Azure, and GCP built-in services and capabilities.By the end of this cloud security book, you'll have gained a solid understanding of how to implement security in cloud environments effectively.
In the fast-paced tech world where businesses rely ever more on cloud infrastructure, the role of a cloud solution architect serves as the backbone of operations. The Solution Architects Career Masterplan isn’t just informative; it’s an actionable roadmap to thriving in this role, providing the knowledge and strategies necessary to build a successful career in cloud computing.You’ll dive headfirst into mastering the role's core principles, strategically charting your career trajectory, and expanding your network within the cloud community. As you advance to the practical aspects, you’ll explore tailored education options, gain hands-on experience, and prepare to seize strategic opportunities. Finally, you’ll prepare for success by arming yourself with interview strategies, staying updated with evolving cloud technologies, and actively contributing to the cloud community.By the end of this book, you'll be on your path to a rewarding career in cloud architecture with this trusted companion.
Ajay Mahajan, Munish Kumar Gupta, Shyam Sundar S
Businesses today are evolving so rapidly that they are resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications. This means developers now are faced with the challenge of building build applications that are native to the cloud. For this, they need to be aware of the environment, tools, and resources they’re coding against. If you’re a Java developer who wants to build secure, resilient, robust, and scalable applications that are targeted for cloud-based deployment, this is the book for you. It will be your one stop guide to building cloud-native applications in Java Spring that are hosted in On-prem or cloud providers - AWS and AzureThe book begins by explaining the driving factors for cloud adoption and shows you how cloud deployment is different from regular application deployment on a standard data centre. You will learn about design patterns specific to applications running in the cloud and find out how you can build a microservice in Java Spring using REST APIsYou will then take a deep dive into the lifecycle of building, testing, and deploying applications with maximum automation to reduce the deployment cycle time. Gradually, you will move on to configuring the AWS and Azure platforms and working with their APIs to deploy your application. Finally, you’ll take a look at API design concerns and their best practices. You’ll also learn how to migrate an existing monolithic application into distributed cloud native applications.By the end, you will understand how to build and monitor a scalable, resilient, and robust cloud native application that is always available and fault tolerant.
Developers are changing their deployment artifacts from application binaries to container images, giving rise to the need to build container-based apps as part of their new development workflow. Managing an app’s life cycle is complex and requires effort—this book will show you how to efficiently develop, share, and execute applications.You’ll learn how to automate the build and delivery process using CI/CD tools with containers as container orchestrators manage the complexity of running cluster-wide applications, creating infrastructure abstraction layers, while your applications run with high availability, resilience, and persistence. As you advance, you’ll develop, test, and debug applications on your desktop and get them ready to run in production with optimal security standards, using deployment patterns and monitoring tools to help identify common issues. You’ll also review deployment patterns that’ll enable you to solve common deployment problems, providing high availability, scalability, and security to your applications. Finally, you’ll explore different solutions to monitor, log, and instrument your applications as per open-source community standards.By the end of this book, you’ll be able to manage your app’s life cycle by implementing CI/CD workflows using containers to automate the building and delivery of its components.
Madhuri Kumari, Pradeep Kumar Singh
Containers are one of the most talked about technologies of recent times. They have become increasingly popular as they are changing the way we develop, deploy, and run software applications. OpenStack gets tremendous traction as it is used by many organizations across the globe and as containers gain in popularity and become complex, it’s necessary for OpenStack to provide various infrastructure resources for containers, such as compute, network, and storage.Containers in OpenStack answers the question, how can OpenStack keep ahead of the increasing challenges of container technology? You will start by getting familiar with container and OpenStack basics, so that you understand how the container ecosystem and OpenStack work together. To understand networking, managing application services and deployment tools, the book has dedicated chapters for different OpenStack projects: Magnum, Zun, Kuryr, Murano, and Kolla. Towards the end, you will be introduced to some best practices to secure your containers and COE on OpenStack, with an overview of using each OpenStack projects for different use cases.