Scalable Cloud Computing Patterns For Reliability And Performance
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| Author | : Peter Jones |
| Publisher | : Walzone Press |
| Total Pages | : 185 |
| Release | : 2024-10-14 |
| Genre | : Computers |
| ISBN | : |
Dive into the transformative world of cloud computing with "Scalable Cloud Computing: Patterns for Reliability and Performance," your comprehensive guide to mastering the principles, strategies, and practices that define modern cloud environments. This carefully curated book navigates through the intricate landscape of cloud computing, from foundational concepts and architecture to designing resilient, scalable applications and managing complex data in the cloud. Whether you're a beginner seeking to understand the basics or an experienced professional aiming to enhance your skills, this book offers deep insights into ensuring reliability, optimizing performance, securing cloud environments, and much more. Explore the latest trends, including microservices, serverless computing, and emerging technologies that are pushing the boundaries of what's possible in the cloud. Through detailed explanations, practical examples, and real-world case studies, "Scalable Cloud Computing: Patterns for Reliability and Performance" equips you with the knowledge to architect and deploy robust applications that leverage the full potential of cloud computing. Unlock the secrets to optimizing costs, automating deployments with CI/CD, and navigating the complexities of data management and security in the cloud. This book is your gateway to becoming an expert in cloud computing, ready to tackle challenges and seize opportunities in this ever-evolving field. Join us on this journey to mastering cloud computing, where scalability and reliability are within your reach.
| Author | : Peter Jones |
| Publisher | : Walzone Press |
| Total Pages | : 194 |
| Release | : 2024-10-12 |
| Genre | : Computers |
| ISBN | : |
"Creating Scalable Cloud Solutions: with Spring Boot and Cloud Foundry" offers a comprehensive guide to mastering the development and deployment of cloud-native applications. Whether you're a seasoned developer or new to the cloud-native landscape, this book provides the essential knowledge and skills needed to leverage the power of Spring Boot and Cloud Foundry. Starting with the fundamentals of cloud-native principles and architecture, this book dives into practical, hands-on techniques for creating, securing, and deploying microservices-based applications that are scalable, resilient, and easily manageable. Learn how to design RESTful web services, effectively access and manage data, and secure your applications with Spring Security. Explore the deployment and management of applications on Cloud Foundry, understanding services, routing, and the marketplace. With a focus on real-world practices, "Creating Scalable Cloud Solutions: with Spring Boot and Cloud Foundry" guides you through setting up continuous integration and deployment pipelines that automate testing and updates, ensuring high-quality software delivery. Discover best practices for monitoring, logging, and troubleshooting to maintain and optimize your cloud-native applications. This book is an indispensable resource for developers looking to navigate the cloud-native universe with confidence. By the end, you'll be equipped with the expertise to craft robust, efficient cloud-native applications that meet the demands of today's digital world. Join us on this journey to transform your development process and bring your applications to the cloud with ease.
| Author | : Bill Wilder |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 183 |
| Release | : 2012 |
| Genre | : Computers |
| ISBN | : 1449319777 |
Do you need to learn about cloud computing architecture with Microsoft's Azure quickly? Read this book! It gives you just enough info on the big picture and is filled with key terminology so that you can join the discussion on cloud architecture.
| Author | : Martin Kleppmann |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 658 |
| Release | : 2017-03-16 |
| Genre | : Computers |
| ISBN | : 1491903104 |
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
| Author | : Barjender Paul |
| Publisher | : Orange Education Pvt Ltd |
| Total Pages | : 568 |
| Release | : 2024-08-16 |
| Genre | : Computers |
| ISBN | : 8197396582 |
TAGLINE Building Tomorrow's Enterprise: Embracing the Multi-Cloud Era with AWS, Azure, and GCP. KEY FEATURES ● Comprehensive guide to multi-cloud architecture designs and best practices. ● Expert insights on networking strategies and efficient DNS design for multi-cloud. ● Emphasis on security, performance, cost-efficiency, and robust disaster recovery. DESCRIPTION This book is a comprehensive guide designed for IT professionals and enterprise architects, providing step-by-step instructions for creating and implementing tailored multi-cloud strategies. Covering key areas such as security, performance, cost management, and disaster recovery, it ensures robust and efficient cloud deployments. This book will help you learn to develop custom multi-cloud solutions that align with the organization's specific needs and goals. It includes in-depth discussions on cloud design patterns, architecture designs, and industry best practices. The book offers advanced networking strategies and DNS design insights to optimize system reliability, scalability, and performance. Practical tips help readers navigate the complexities of multi-cloud environments, ensuring seamless integration and management across different cloud platforms. Whether new to cloud concepts or an experienced practitioner looking to enhance your skills, this book equips you with the knowledge and tools needed to excel in your role. By following expert guidance and best practices, you can confidently design and implement multi-cloud strategies that foster innovation and operational excellence in your organization. WHAT WILL YOU LEARN ● Understand the fundamentals and benefits of multi-cloud environments. ● Gain a solid grasp of essential cloud computing concepts and terminologies. ● Learn how to establish a robust foundation for multi-cloud deployments. ● Implement best practices for securing and governing multi-cloud architectures. ● Design effective network solutions tailored for multi-cloud environments. ● Optimize DNS design and management across multiple cloud platforms. ● Apply architecture design patterns to enhance system reliability and scalability. ● Manage costs effectively and implement financial operations in a multi-cloud setting. ● Leverage automation and orchestration to streamline multi-cloud operations. ● Monitor and manage performance and health across various cloud services. ● Ensure robust disaster recovery and build resilient systems for multi-cloud. WHO IS THIS BOOK FOR? This book is for IT professionals, cloud architects, enterprise architects, and cloud engineers with a basic understanding of cloud computing concepts. It is ideal for those looking to deepen their knowledge of multi-cloud strategies and best practices to enhance their organization's cloud infrastructure. TABLE OF CONTENTS 1. Getting Started with Multi-Cloud 2. Cloud Computing Concepts 3. Building a Solid Foundation 4. Security and Governance in Multi-Cloud 5. Designing Network Solution 6. DNS in a Multi-Cloud Landscape 7. Architecture Design Pattern in Multi-Cloud 8. FinOps in Multi-Cloud 9. The Role of Automation and Orchestration 10. Multi-Cloud Monitoring 11. Resilience and Disaster Recovery Index
| Author | : Michael J. Kavis |
| Publisher | : John Wiley & Sons |
| Total Pages | : 230 |
| Release | : 2014-01-28 |
| Genre | : Computers |
| ISBN | : 1118826469 |
An expert guide to selecting the right cloud service model for your business Cloud computing is all the rage, allowing for the delivery of computing and storage capacity to a diverse community of end-recipients. However, before you can decide on a cloud model, you need to determine what the ideal cloud service model is for your business. Helping you cut through all the haze, Architecting the Cloud is vendor neutral and guides you in making one of the most critical technology decisions that you will face: selecting the right cloud service model(s) based on a combination of both business and technology requirements. Guides corporations through key cloud design considerations Discusses the pros and cons of each cloud service model Highlights major design considerations in areas such as security, data privacy, logging, data storage, SLA monitoring, and more Clearly defines the services cloud providers offer for each service model and the cloud services IT must provide Arming you with the information you need to choose the right cloud service provider, Architecting the Cloud is a comprehensive guide covering everything you need to be aware of in selecting the right cloud service model for you.
| Author | : Christoph Fehling |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 393 |
| Release | : 2014-02-18 |
| Genre | : Computers |
| ISBN | : 370911568X |
The current work provides CIOs, software architects, project managers, developers, and cloud strategy initiatives with a set of architectural patterns that offer nuggets of advice on how to achieve common cloud computing-related goals. The cloud computing patterns capture knowledge and experience in an abstract format that is independent of concrete vendor products. Readers are provided with a toolbox to structure cloud computing strategies and design cloud application architectures. By using this book cloud-native applications can be implemented and best suited cloud vendors and tooling for individual usage scenarios can be selected. The cloud computing patterns offer a unique blend of academic knowledge and practical experience due to the mix of authors. Academic knowledge is brought in by Christoph Fehling and Professor Dr. Frank Leymann who work on cloud research at the University of Stuttgart. Practical experience in building cloud applications, selecting cloud vendors, and designing enterprise architecture as a cloud customer is brought in by Dr. Ralph Retter who works as an IT architect at T‐Systems, Walter Schupeck, who works as a Technology Manager in the field of Enterprise Architecture at Daimler AG,and Peter Arbitter, the former head of T Systems’ cloud architecture and IT portfolio team and now working for Microsoft. Voices on Cloud Computing Patterns Cloud computing is especially beneficial for large companies such as Daimler AG. Prerequisite is a thorough analysis of its impact on the existing applications and the IT architectures. During our collaborative research with the University of Stuttgart, we identified a vendor-neutral and structured approach to describe properties of cloud offerings and requirements on cloud environments. The resulting Cloud Computing Patterns have profoundly impacted our corporate IT strategy regarding the adoption of cloud computing. They help our architects, project managers and developers in the refinement of architectural guidelines and communicate requirements to our integration partners and software suppliers. Dr. Michael Gorriz – CIO Daimler AG Ever since 2005 T-Systems has provided a flexible and reliable cloud platform with its “Dynamic Services”. Today these cloud services cover a huge variety of corporate applications, especially enterprise resource planning, business intelligence, video, voice communication, collaboration, messaging and mobility services. The book was written by senior cloud pioneers sharing their technology foresight combining essential information and practical experiences. This valuable compilation helps both practitioners and clients to really understand which new types of services are readily available, how they really work and importantly how to benefit from the cloud. Dr. Marcus Hacke – Senior Vice President, T-Systems International GmbH This book provides a conceptual framework and very timely guidance for people and organizations building applications for the cloud. Patterns are a proven approach to building robust and sustainable applications and systems. The authors adapt and extend it to cloud computing, drawing on their own experience and deep contributions to the field. Each pattern includes an extensive discussion of the state of the art, with implementation considerations and practical examples that the reader can apply to their own projects. By capturing our collective knowledge about building good cloud applications and by providing a format to integrate new insights, this book provides an important tool not just for individual practitioners and teams, but for the cloud computing community at large. Kristof Kloeckner – General Manager,Rational Software, IBMSoftware Group
| Author | : Pethuru Raj Chelliah |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 379 |
| Release | : 2018-11-30 |
| Genre | : Computers |
| ISBN | : 1788838696 |
Create, deploy, and manage applications at scale using SRE principles Key FeaturesBuild and run highly available, scalable, and secure softwareExplore abstract SRE in a simplified and streamlined wayEnhance the reliability of cloud environments through SRE enhancementsBook Description Site reliability engineering (SRE) is being touted as the most competent paradigm in establishing and ensuring next-generation high-quality software solutions. This book starts by introducing you to the SRE paradigm and covers the need for highly reliable IT platforms and infrastructures. As you make your way through the next set of chapters, you will learn to develop microservices using Spring Boot and make use of RESTful frameworks. You will also learn about GitHub for deployment, containerization, and Docker containers. Practical Site Reliability Engineering teaches you to set up and sustain containerized cloud environments, and also covers architectural and design patterns and reliability implementation techniques such as reactive programming, and languages such as Ballerina and Rust. In the concluding chapters, you will get well-versed with service mesh solutions such as Istio and Linkerd, and understand service resilience test practices, API gateways, and edge/fog computing. By the end of this book, you will have gained experience on working with SRE concepts and be able to deliver highly reliable apps and services. What you will learnUnderstand how to achieve your SRE goalsGrasp Docker-enabled containerization conceptsLeverage enterprise DevOps capabilities and Microservices architecture (MSA)Get to grips with the service mesh concept and frameworks such as Istio and LinkerdDiscover best practices for performance and resiliencyFollow software reliability prediction approaches and enable patternsUnderstand Kubernetes for container and cloud orchestrationExplore the end-to-end software engineering process for the containerized worldWho this book is for Practical Site Reliability Engineering helps software developers, IT professionals, DevOps engineers, performance specialists, and system engineers understand how the emerging domain of SRE comes handy in automating and accelerating the process of designing, developing, debugging, and deploying highly reliable applications and services.
| Author | : Kasun Indrasiri |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 314 |
| Release | : 2021-05-17 |
| Genre | : Computers |
| ISBN | : 1492090689 |
With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems
| Author | : Thomas, J. Joshua |
| Publisher | : IGI Global |
| Total Pages | : 315 |
| Release | : 2023-08-25 |
| Genre | : Computers |
| ISBN | : 1668498057 |
Scalable and Distributed Machine Learning and Deep Learning Patterns is a practical guide that provides insights into how distributed machine learning can speed up the training and serving of machine learning models, reduce time and costs, and address bottlenecks in the system during concurrent model training and inference. The book covers various topics related to distributed machine learning such as data parallelism, model parallelism, and hybrid parallelism. Readers will learn about cutting-edge parallel techniques for serving and training models such as parameter server and all-reduce, pipeline input, intra-layer model parallelism, and a hybrid of data and model parallelism. The book is suitable for machine learning professionals, researchers, and students who want to learn about distributed machine learning techniques and apply them to their work. This book is an essential resource for advancing knowledge and skills in artificial intelligence, deep learning, and high-performance computing. The book is suitable for computer, electronics, and electrical engineering courses focusing on artificial intelligence, parallel computing, high-performance computing, machine learning, and its applications. Whether you're a professional, researcher, or student working on machine and deep learning applications, this book provides a comprehensive guide for creating distributed machine learning, including multi-node machine learning systems, using Python development experience. By the end of the book, readers will have the knowledge and abilities necessary to construct and implement a distributed data processing pipeline for machine learning model inference and training, all while saving time and costs.
