Programowanie w chmurze
Chmura to styl obliczeń, w którym dynamicznie skalowalne zasoby IT są dostarczane zewnętrznym użytkownikom w postaci usług na żądanie za pomocą technologii internetowych. Kluczowym elementem tej definicji jest dostarczanie usług "na żądanie". Chmura, oprócz dostępności usług we właściwym miejscu i czasie, zapewnia ekonomiczną efektywność rozwiązania, konsolidację zasobów, bezpieczeństwo informacji i wreszcie oszczędność energii.
Shashikant Bangera
Serverless applications are becoming very popular among developers and are generating a buzz in the tech market. Many organizations struggle with the effective implementation of DevOps with serverless applications. DevOps for Serverless Applications takes you through different DevOps-related scenarios to give you a solid foundation in serverless deployment.You will start by understanding the concepts of serverless architecture and development, and why they are important. Then, you will get to grips with the DevOps ideology and gain an understanding of how it fits into the Serverless Framework. You'll cover deployment framework building and deployment with CI and CD pipelines for serverless applications. You will also explore log management and issue reporting in the serverless environment. In the concluding chapters, you will learn important security tips and best practices for secure pipeline management.By the end of this book, you will be in a position to effectively build a complete CI and CD delivery pipeline with log management for serverless applications.
DevOps with Kubernetes. Accelerating software delivery with container orchestrators
Hideto Saito, Hui-Chuan Chloe Lee, Cheng-Yang Wu
Containerization is said to be the best way to implement DevOps. Google developed Kubernetes, which orchestrates containers efficiently and is considered the frontrunner in container orchestration. Kubernetes is an orchestrator that creates and manages your containers on clusters of servers. This book will guide you from simply deploying a container to administrate a Kubernetes cluster, and then you will learn how to do monitoring, logging, and continuous deployment in DevOps. The initial stages of the book will introduce the fundamental DevOps and the concept of containers. It will move on to how to containerize applications and deploy them into. The book will then introducenetworks in Kubernetes. We then move on to advanced DevOps skills such as monitoring, logging, and continuous deployment in Kubernetes. It will proceed to introduce permission control for Kubernetes resources via attribute-based access control and role-based access control. The final stage of the book will cover deploying and managing yourcontainer clusters on the popular public cloud Amazon Web Services and GoogleCloud Platform. At the end of the book, other orchestration frameworks, such asDocker Swarm mode, Amazon ECS, and Apache Mesos will be discussed.
DevOps with Kubernetes. Accelerating software delivery with container orchestrators - Second Edition
Hideto Saito, Hui-Chuan Chloe Lee, Cheng-Yang Wu
Kubernetes has been widely adopted across public clouds and on-premise data centers. As we're living in an era of microservices, knowing how to use and manage Kubernetes is an essential skill for everyone in the IT industry.This book is a guide to everything you need to know about Kubernetes—from simply deploying a container to administrating Kubernetes clusters wisely. You'll learn about DevOps fundamentals, as well as deploying a monolithic application as microservices and using Kubernetes to orchestrate them. You will then gain an insight into the Kubernetes network, extensions, authentication and authorization. With the DevOps spirit in mind, you'll learn how to allocate resources to your application and prepare to scale them efficiently. Knowing the status and activity of the application and clusters is crucial, so we’ll learn about monitoring and logging in Kubernetes. Having an improved ability to observe your services means that you will be able to build a continuous delivery pipeline with confidence. At the end of the book, you'll learn how to run managed Kubernetes services on three top cloud providers: Google Cloud Platform, Amazon Web Services, and Microsoft Azure.
Abhilash G B
This is a step-by-step guide that will help you understand disaster recovery using VMware vSphere Replication 5.5 and VMware vCenter Site Recovery Manager (SRM) 5.5. The topics and configuration procedures are accompanied with relevant screenshots, flowcharts, and logical diagrams that makes grasping the concepts easier. This book is a guide for anyone who is keen on using vSphere Replication or vCenter Site Recovery Manager as a disaster recovery solution. This is an excellent handbook for solution architects, administrators, on-field engineers, and support professionals. Although the book assumes that the reader has some basic knowledge of data center virtualization using VMware vSphere, it can still be a very good reference for anyone who is new to virtualization.
Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
Alan Bernardo Palacio
Microsoft Azure Databricks helps you to harness the power of distributed computing and apply it to create robust data pipelines, along with training and deploying machine learning and deep learning models. Databricks' advanced features enable developers to process, transform, and explore data. Distributed Data Systems with Azure Databricks will help you to put your knowledge of Databricks to work to create big data pipelines. The book provides a hands-on approach to implementing Azure Databricks and its associated methodologies that will make you productive in no time. Complete with detailed explanations of essential concepts, practical examples, and self-assessment questions, you’ll begin with a quick introduction to Databricks core functionalities, before performing distributed model training and inference using TensorFlow and Spark MLlib. As you advance, you’ll explore MLflow Model Serving on Azure Databricks and implement distributed training pipelines using HorovodRunner in Databricks. Finally, you’ll discover how to transform, use, and obtain insights from massive amounts of data to train predictive models and create entire fully working data pipelines. By the end of this MS Azure book, you’ll have gained a solid understanding of how to work with Databricks to create and manage an entire big data pipeline.
Docker Deep Dive. Zero to Docker in a single book - Fifth Edition
Nigel Poulton
Docker Deep Dive provides a comprehensive introduction to container technology and Docker’s essential role in modern software development. It covers installation across platforms and presents both developer and operational perspectives to build a solid foundation. Early chapters explain container basics, Docker architecture, and key ecosystem standards.The book then explores advanced technical topics including the Docker Engine, image and container management, application containerization, and multi-container apps with Docker Compose. It guides readers through deploying and managing Docker Swarm clusters and introduces emerging areas like WebAssembly containers and AI workloads with Docker Model Runner.Extensive coverage of networking, persistent storage, and security equips readers with enterprise-grade skills for deploying and maintaining containerized applications. The practical approach ensures confidence in implementing Docker solutions for development and production environments.This newly updated edition includes a brand-new chapter on Docker Model Runner with a full AI LLM project, updates to BuildKit, buildx, Docker Build Cloud, debugging tools, WebAssembly content, and a streamlined Docker Swarm chapter.
Docker Deep Dive. Zero to Docker in a single book - Fourth Edition
Nigel Poulton
This book begins by introducing Docker, its transformative role in modern application development, and why containerization has become essential in the tech industry. The first part builds a strong foundation by explaining core concepts such as containers, images, and the benefits of cloud-native development. Readers will also learn the history of Docker, its comparison to virtual machines, and how it is shaping emerging technologies like AI, WebAssembly, and Kubernetes.The second part dives deep into hands-on technical skills. Readers will explore Docker Engine architecture, work with images, containers, and multi-container apps, and use Docker Compose for real-world scenarios. Topics like container orchestration with Docker Swarm, advanced networking, overlay networks, and persistent storage are explained in detail. Readers will also gain practical knowledge on security, debugging containers, and vulnerability scanning with Docker Scout.By the end, readers will have a comprehensive understanding of Docker, from setup to scaling production-grade applications. Whether deploying AI-based apps, containerizing existing workloads, or mastering orchestration, this book provides the skills needed to thrive in a rapidly evolving tech landscape.
Docker Deep Dive. Zero to Docker in a single book - Third Edition
Nigel Poulton
Embark on a transformative journey into the world of Docker and containers with this expertly crafted course. Starting with a high-level overview, you'll gain a solid understanding of containers and the significance of Docker in modern software development. Delve into Docker's core components, exploring essential standards, projects, and the intricacies of the Docker Engine, ensuring a robust foundation.As you progress, practical hands-on modules will guide you through working with images and containers, containerizing applications, and managing multi-container setups using Docker Compose. You'll learn to deploy applications efficiently with Docker Swarm and Docker Stacks, enhancing your ability to manage and scale containerized applications. The course also introduces Docker's integration with WebAssembly, offering a glimpse into cutting-edge container technologies.Concluding with advanced topics, you'll master Docker networking, including overlay networks and persistent data management with volumes. Emphasis on Docker security ensures you can safeguard your applications and data effectively. By the end of this course, you'll possess the skills and knowledge to leverage Docker's full capabilities, from development to deployment, ensuring you remain at the forefront of container technology.