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Cloud Native Integration with Apache Camel: Building Agile and Scalable Integrations for Kubernetes Platforms
by Guilherme CamposoAddress the most common integration challenges, by understanding the ins and outs of the choices and exemplifying the solutions with practical examples on how to create cloud native applications using Apache Camel. Camel will be our main tool, but we will also see some complementary tools and plugins that can make our development and testing easier, such as Quarkus, and tools for more specific use cases, such as Apache Kafka and Keycloak. You will learn to connect with databases, create REST APIs, transform data, connect with message oriented software (MOMs), secure your services, and test using Camel. You will also learn software architecture patterns for integration and how to leverage container platforms, such as Kubernetes. This book is suitable for those who are eager to learn an integration tool that fits the Kubernetes world, and who want to explore the integration challenges that can be solved using containers. What You Will Learn Focus on how to solve integration challengesUnderstand the basics of the Quarkus as it’s the foundation for the applicationAcquire a comprehensive view on Apache CamelDeploy an application in Kubernetes Follow good practices Who This Book Is For Java developers looking to learn Apache Camel; Apache Camel developers looking to learn more about Kubernetes deployments; software architects looking to study integration patterns for Kubernetes based systems; system administrators (operations teams) looking to get a better understand of how technologies are integrated.
Cloud Native Java: Designing Resilient Systems with Spring Boot, Spring Cloud, and Cloud Foundry
by Josh Long Kenny BastaniWhat separates the traditional enterprise from the likes of Amazon, Netflix, and Etsy? Those companies have refined the art of cloud native development to maintain their competitive edge and stay well ahead of the competition. This practical guide shows Java/JVM developers how to build better software, faster, using Spring Boot, Spring Cloud, and Cloud Foundry.Many organizations have already waded into cloud computing, test-driven development, microservices, and continuous integration and delivery. Authors Josh Long and Kenny Bastani fully immerse you in the tools and methodologies that will help you transform your legacy application into one that is genuinely cloud native.In four sections, this book takes you through:The Basics: learn the motivations behind cloud native thinking; configure and test a Spring Boot application; and move your legacy application to the cloudWeb Services: build HTTP and RESTful services with Spring; route requests in your distributed system; and build edge services closer to the dataData Integration: manage your data with Spring Data, and integrate distributed services with Spring’s support for event-driven, messaging-centric architecturesProduction: make your system observable; use service brokers to connect stateful services; and understand the big ideas behind continuous delivery
Cloud-Native Microservices with Apache Pulsar: Build Distributed Messaging Microservices
by Rahul Sharma Mohammad AtyabApply different enterprise integration and processing strategies available with Pulsar, Apache's multi-tenant, high-performance, cloud-native messaging and streaming platform. This book is a comprehensive guide that examines using Pulsar Java libraries to build distributed applications with message-driven architecture.You'll begin with an introduction to Apache Pulsar architecture. The first few chapters build a foundation of message-driven architecture. Next, you'll perform a setup of all the required Pulsar components. The book also covers work with Apache Pulsar client library to build producers and consumers for the discussed patterns. You'll then explore the transformation, filter, resiliency, and tracing capabilities available with Pulsar. Moving forward, the book will discuss best practices when building message schemas and demonstrate integration patterns using microservices. Security is an important aspect of any application; the book will cover authentication and authorization in Apache Pulsar such as Transport Layer Security (TLS), OAuth 2.0, and JSON Web Token (JWT). The final chapters will cover Apache Pulsar deployment in Kubernetes. You'll build microservices and serverless components such as AWS Lambda integrated with Apache Pulsar on Kubernetes. After completing the book, you'll be able to comfortably work with the large set of out-of-the-box integration options offered by Apache Pulsar. What You'll LearnExamine the important Apache Pulsar components Build applications using Apache Pulsar client librariesUse Apache Pulsar effectively with microservicesDeploy Apache Pulsar to the cloudWho This Book Is ForCloud architects and software developers who build systems in the cloud-native technologies.
Cloud Native Networking Deep-Dive (River Publishers Rapids Series in Communications and Networking)
by Chander Govindarajan Priyanka NaikThis book demystifies how Kubernetes networking actually works by walking through a simple but practical simulation that mirrors reality as closely as possible, while skipping the gory details. Widespread adoption of container orchestration platforms like Kubernetes have spawned a whole field of industry products, startups and academic research in the field of container networking, typically termed as cloud-native networking. But, what is cloud-native networking? What are the various pieces and how do they fit together? Over recent years, most applications have been deployed on cloud infrastructure. Kubernetes has been the widely adopted orchestrator for these clouds. Application developers in most cases are unaware of the underlying plumbing in Kubernetes that holds their applications running as containers. Networking is an integral part of any Kubernetes environment and efficiently drives the various abstractions provided by it. Needless to say, it greatly effects the performance of applications, which in general have a humongous amount of inter-microservice communication. The impact is even more profound in multiple cloud environments.
Cloud-Native Observability with OpenTelemetry: Learn to gain visibility into systems by combining tracing, metrics, and logging with OpenTelemetry
by Alex Boten Charity MajorsLeverage OpenTelemetry's API, libraries, tools and the collector to produce and collect telemetry along with using open-source tools to analyze distributed traces, check metrics and logs, and gain insights into application healthKey FeaturesGet to grips with OpenTelemetry, an open-source cloud-native software observability standardUse vendor-neutral tools to instrument applications to produce better telemetry and improve observabilityUnderstand how telemetry data can be correlated and interpreted to understand distributed systemsBook DescriptionCloud-Native Observability with OpenTelemetry is a guide to helping you look for answers to questions about your applications. This book teaches you how to produce telemetry from your applications using an open standard to retain control of data. OpenTelemetry provides the tools necessary for you to gain visibility into the performance of your services. It allows you to instrument your application code through vendor-neutral APIs, libraries and tools.By reading Cloud-Native Observability with OpenTelemetry, you'll learn about the concepts and signals of OpenTelemetry - traces, metrics, and logs. You'll practice producing telemetry for these signals by configuring and instrumenting a distributed cloud-native application using the OpenTelemetry API. The book also guides you through deploying the collector, as well as telemetry backends necessary to help you understand what to do with the data once it's emitted. You'll look at various examples of how to identify application performance issues through telemetry. By analyzing telemetry, you'll also be able to better understand how an observable application can improve the software development life cycle.By the end of this book, you'll be well-versed with OpenTelemetry, be able to instrument services using the OpenTelemetry API to produce distributed traces, metrics and logs, and more.What you will learnUnderstand the core concepts of OpenTelemetryExplore concepts in distributed tracing, metrics, and loggingDiscover the APIs and SDKs necessary to instrument an application using OpenTelemetryExplore what auto-instrumentation is and how it can help accelerate application instrumentationConfigure and deploy the OpenTelemetry CollectorGet to grips with how different open-source backends can be used to analyze telemetry dataUnderstand how to correlate telemetry in common scenarios to get to the root cause of a problemWho this book is forThis book is for software engineers, library authors, and systems operators looking to better understand their infrastructure, services and applications by leveraging telemetry data like never before. Working knowledge of Python programming is assumed for the example applications that you'll be building and instrumenting using the OpenTelemetry API and SDK. Some familiarity with Go programming, Linux, and Docker is preferable to help you set up additional components in various examples throughout the book.
Cloud Native Patterns: Designing change-tolerant software
by Cornelia DavisSummaryCloud Native Patternsis your guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. This book presents a mental model for cloud-native applications, along with the patterns, practices, and tooling that set them apart.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyCloud platforms promise the holy grail: near-zero downtime, infinite scalability, short feedback cycles, fault-tolerance, and cost control. But how do you get there? By applying cloudnative designs, developers can build resilient, easily adaptable, web-scale distributed applications that handle massive user traffic and data loads. Learn these fundamental patterns and practices, and you'll be ready to thrive in the dynamic, distributed, virtual world of the cloud.About the BookWith 25 years of experience under her belt, Cornelia Davis teaches you the practices and patterns that set cloud-native applications apart. With realistic examples and expert advice for working with apps, data, services, routing, and more, she shows you how to design and build software that functions beautifully on modern cloud platforms. As you read, you will start to appreciate that cloud-native computing is more about the how and why rather than the where. What's insideThe lifecycle of cloud-native appsCloud-scale configuration managementZero downtime upgrades, versioned services, and parallel deploysService discovery and dynamic routingManaging interactions between services, including retries and circuit breakersAbout the ReaderRequires basic software design skills and an ability to read Java or a similar language.About the AuthorCornelia Davis is Vice President of Technology at Pivotal Software. A teacher at heart, she's spent the last 25 years making good software and great software developers.Table of ContentsPART 1 - THE CLOUD-NATIVE CONTEXTYou keep using that word: Defining "cloud-native"Running cloud-native applications in productionThe platform for cloud-native softwarePART 2 - CLOUD-NATIVE PATTERNSEvent-driven microservices: It's not just request/responseApp redundancy: Scale-out and statelessnessApplication configuration: Not just environment variablesThe application lifecycle: Accounting for constant changeAccessing apps: Services, routing, and service discoveryInteraction redundancy: Retries and other control loopsFronting services: Circuit breakers and API gatewaysTroubleshooting: Finding the needle in the haystackCloud-native data: Breaking the data monolith
Cloud Native programming with Golang: Develop microservice-based high performance web apps for the cloud with Go
by Jelmer Snoeck Mina Andrawos Martin HelmichKey Features Build well-designed and secure microservices. Enrich your microservices with continous integration and monitoring. Containerize your application with Docker Deploy your application to AWS. Learn how to utilize the powerful AWS services from within your application Book Description Cloud computing and microservices are two very important concepts in modern software architecture. They represent key skills that ambitious software engineers need to acquire in order to design and build software applications capable of performing and scaling. Go is a modern cross-platform programming language that is very powerful yet simple; it is an excellent choice for microservices and cloud applications. Go is gaining more and more popularity, and becoming a very attractive skill.. The book will take you on a journey into the world of microservices and cloud computing with the help of Go. It will start by covering the software architectural patterns of cloud applications, as well as practical concepts regarding how to scale, distribute, and deploy those applications. You will also learn how to build a JavaScript-based front-end for your application, using TypeScript and React. From there, we dive into commercial cloud offerings by covering AWS. Finally, we conclude our book by providing some overviews of other concepts and technologies that the reader can explore to move from where the book leaves off. What you will learn Understand modern software applications architectures Build secure microservices that can effectively communicate with other services Get to know about event-driven architectures by diving into message queues such as Kafka, Rabbitmq, and AWS SQS. Understand key modern database technologies such as MongoDB, and Amazon’s DynamoDB Leverage the power of containers Explore Amazon cloud services fundamentals Know how to utilize the power of the Go language to access key services in the Amazon cloud such as S3, SQS, DynamoDB and more. Build front-end applications using ReactJS with Go Implement CD for modern applications
Cloud Native Python
by Manish SethiBuild cloud native applications in Python About This Book • This is the only reliable resource that showcases the tools and techniques you need build robust and resilient cloud native applications in Python • Learn how to architect your application on both, the AWS and Azure clouds for high availability • Assess, monitor, and troubleshoot your applications in the cloud Who This Book Is For This book is ideal for developers with a basic knowledge of Python who want to learn to build, test, and scale their Python-based applications. No prior experience of writing microservices in Python is required. What You Will Learn • Get to know “the way of the cloud”, including why developing good cloud software is fundamentally about mindset and discipline • Know what microservices are and how to design them • Create reactive applications in the cloud with third-party messaging providers • Build massive-scale, user-friendly GUIs with React and Flux • Secure cloud-based web applications: the do's, don'ts, and options • Plan cloud apps that support continuous delivery and deployment In Detail Businesses today are evolving so rapidly that having their own infrastructure to support their expansion is not feasible. As a result, they have been resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications. This book will be the one stop for you to learn all about building cloud-native architectures in Python. It will begin by introducing you to cloud-native architecture and will help break it down for you. Then you'll learn how to build microservices in Python using REST APIs in an event driven approach and you will build the web layer. Next, you'll learn about Interacting data services and building Web views with React, after which we will take a detailed look at application security and performance. Then, you'll also learn how to Dockerize your services. And finally, you'll learn how to deploy the application on the AWS and Azure platforms. We will end the book by discussing some concepts and techniques around troubleshooting problems that might occur with your applications after you've deployed them. This book will teach you how to craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical book: we're going to build everything using Python 3 and its amazing tooling ecosystem. The book will take you on a journey, the destination of which, is the creation of a complete Python application based on microservices over the cloud platform Style and approach Filled with examples, this book takes a step-by-step approach to teach you each and every configuration you need to make your application highly available and fault tolerant.
Cloud Native Security
by Chris Binnie Rory McCuneExplore the latest and most comprehensive guide to securing your Cloud Native technology stack Cloud Native Security delivers a detailed study into minimizing the attack surfaces found on today’s Cloud Native infrastructure. Throughout the work hands-on examples walk through mitigating threats and the areas of concern that need to be addressed. The book contains the information that professionals need in order to build a diverse mix of the niche knowledge required to harden Cloud Native estates. The book begins with more accessible content about understanding Linux containers and container runtime protection before moving on to more advanced subject matter like advanced attacks on Kubernetes. You’ll also learn about: Installing and configuring multiple types of DevSecOps tooling in CI/CD pipelines Building a forensic logging system that can provide exceptional levels of detail, suited to busy containerized estates Securing the most popular container orchestrator, Kubernetes Hardening cloud platforms and automating security enforcement in the cloud using sophisticated policies Perfect for DevOps engineers, platform engineers, security professionals and students, Cloud Native Security will earn a place in the libraries of all professionals who wish to improve their understanding of modern security challenges.
Cloud Native Security Cookbook: Recipes for a Secure Cloud
by Josh ArmitageWith the rise of the cloud, every aspect of IT has been shaken to its core. The fundamentals for building systems are changing, and although many of the principles that underpin security still ring true, their implementation has become unrecognizable. This practical book provides recipes for AWS, Azure, and GCP to help you enhance the security of your own cloud native systems.Based on his hard-earned experience working with some of the world's biggest enterprises and rapidly iterating startups, consultant Josh Armitage covers the trade-offs that security professionals, developers, and infrastructure gurus need to make when working with different cloud providers. Each recipe discusses these inherent compromises, as well as where clouds have similarities and where they're fundamentally different.Learn how the cloud provides security superior to what was achievable in an on-premises worldUnderstand the principles and mental models that enable you to make optimal trade-offs as part of your solutionLearn how to implement existing solutions that are robust and secure, and devise design solutions to new and interesting problemsDeal with security challenges and solutions both horizontally and vertically within your business
Cloud Native Transformation: Practical Patterns for Innovation
by Pini Reznik Jamie Dobson Michelle GienowIn the past few years, going cloud native has been a big advantage for many companies. But it’s a tough technique to get right, especially for enterprises with critical legacy systems. This practical hands-on guide examines effective architecture, design, and cultural patterns to help you transform your organization into a cloud native enterprise—whether you’re moving from older architectures or creating new systems from scratch.By following Wealth Grid, a fictional company, you’ll understand the challenges, dilemmas, and considerations that accompany a move to the cloud. Technical managers and architects will learn best practices for taking on a successful company-wide transformation.Cloud migration consultants Pini Reznik, Jamie Dobson, and Michelle Gienow draw patterns from the growing community of expert practitioners and enterprises that have successfully built cloud native systems. You’ll learn what works and what doesn’t when adopting cloud native—including how this transition affects not just your technology but also your organizational structure and processes.You’ll learn:What cloud native means and why enterprises are so interested in itCommon barriers and pitfalls that have affected other companies (and how to avoid them)Context-specific patterns for a successful cloud native transformationHow to implement a safe, evolutionary cloud native approachHow companies addressed root causes and misunderstandings that hindered their progressCase studies from real-world companies that have succeeded with cloud native transformations
Cloud Native with Kubernetes
by Alexander RaulThis book is for developers, architects, DevOps engineers, or anyone interested in developing and managing cloud-native applications. Those already running cloud applications and looking for a better way to manage their platform or others interested in a career change given the recent popularity of Kubernetes will also find this book helpful. Some familiarity with cloud computing, containers and DevOps is required, but no prior knowledge of building production applications using Kubernetes is needed to get started with this book.
Cloud Network Management: An IoT Based Framework
by Sanjay Kumar Biswash and Sourav Kanti AddyaData storage, processing, and management at remote location over dynamic networks is the most challenging task in cloud networks. Users’ expectations are very high for data accuracy, reliability, accessibility, and availability in pervasive cloud environment. It was the core motivation for the Cloud Networks Internet of Things (CNIoT). The exponential growth of the networks and data management in CNIoT must be implemented in fast growing service sectors such as logistic and enterprise management. The network based IoT works as a bridge to fill the gap between IT and cloud networks, where data is easily accessible and available. This book provides a framework for the next generation of cloud networks, which is the emerging part of 5G partnership projects. This contributed book has following salient features, A cloud-based next generation networking technologies. Cloud-based IoT and mobility management technology. The proposed book is a reference for research scholars and course supplement for cloud-IoT related subjects such as distributed networks in computer/ electrical engineering. Sanjay Kumar Biswash is working as an Assistant professor in NIIT University, India. He held Research Scientist position, Institute of Cybernetics, National Research Tomsk Polytechnic University, Russia. He was PDF at LNCC, Brazil and SDSU, USA. He was a visiting researcher to the UC, Portugal. Sourav Kanti Addya is working as an Assistant professor in NITK, Surathkal, India. He was a PDF at IIT Kharagpur, India. He was a visiting scholar at SDSU, USA. He obtained national level GATE scholarship. He is a member of IEEE, ACM.
Cloud Networking for Big Data (Wireless Networks)
by Song Guo Deze Zeng Lin GuThis book introduces two basic big data processing paradigms for batch data and streaming data. Representative programming frameworks are also presented, as well as software defined networking (SDN) and network function virtualization (NFV) technologies as key cloud networking technologies. The authors illustrate that SDN and NFV can be applied to benefit the big data processing by proposing a cloud networking framework. Based on the framework, two case studies examine how to improve the cost efficiency of big data processing. Cloud Networking for Big Data targets professionals and researchers working in big data, networks, wireless communications and information technology. Advanced-level students studying computer science and electrical engineering will also find this book valuable as a study guide.
Cloud Observability in Action (In Action)
by Michael HausenblasDon&’t fly blind. Observability gives you actionable insights into your cloud native systems—from pinpointing errors, to increasing developer productivity, to tracking compliance.Observability is the difference between an error message and an error explanation with a recipe how to resolve the error! You know exactly which service is affected, who&’s responsible for its repair, and even how it can be optimized in the future. Cloud Observability in Action teaches you how to set up an observability system that learns from a cloud application&’s signals, logging, and monitoring, all using free and open source tools. In Cloud Observability in Action you will learn how to: Apply observability in cloud native systems Understand observability signals, including their costs and benefits Apply good practices around instrumentation and signal collection Deliver dashboarding, alerting, and SLOs/SLIs at scale Choose the correct signal types for given roles or tasks Pick the right observability tool for any given function Communicate the benefits of observability to management A well-designed observability system provides insight into bugs and performance issues in cloud native applications. They help your development team understand the impact of code changes, measure optimizations, and track user experience. Best of all, observability can even automate your error handling so that machine users apply their own fixes—no more 3AM calls for emergency outages. About the technology Cloud native systems are made up of hundreds of moving parts. When something goes wrong, it&’s not enough to know there is a problem—you need to know where it is, what it is, and how to fix it. This book takes you beyond traditional monitoring, explaining observability systems that turn application telemetry into actionable insights. About the book Cloud Observability in Action gives you the background and techniques you need to successfully introduce observability into cloud-based serverless and Kubernetes environments. In it, you&’ll learn to use open standards and tools like OpenTelemetry, Prometheus, and Grafana to build your own observability system and end reliance on proprietary software. You&’ll discover insights from different telemetry signals, including logs, metrics, traces, and profiles. Plus, the book&’s rigorous cost-benefit analysis ensures you&’re getting a real return on your observability investment. What's inside Observability in and of cloud native systems Dashboarding, alerting, and SLOs/SLIs at scale Signal types for any role or task State-of-the-art open source observability tools About the reader For application developers, platform owners, DevOps, and SREs. About the author Michael Hausenblas is a Product Owner in the AWS open source observability team. Table of Contents 1 End-to-end observability 2 Signal types 3 Sources 4 Agents and instrumentation 5 Backend destinations 6 Frontend destinations 7 Cloud operations 8 Distributed tracing 9 Developer observability 10 Service level objectives 11 Signal correlation
Cloud of Things: Foundations, Applications, and Challenges
by G. R. Gangadharan Jitendra Kumar Ashutosh Kumar Singh Chung-Nan LeeCloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. This book explores algorithms, protocols, and system design principles of key smart technologies including cloud computing and the internet of things.• Discusses the system design principles in cloud computing along with artificial intelligence, machine learning, and data analytics applications• Presents blockchain-based solutions, cyber-physical system applications, and deep learning approaches to solving practical problems• Highlights important concepts including the cloud of things architecture, cloud service management and virtualization, and resource management techniques• Covers advanced technologies including fog computing, edge computing, and distributed intelligence• Explores cloud-enabling technology, broadband networks and internet architecture, internet service providers (ISPs), and connectionless packet switching.The book is primarily written for graduate students, academic researchers, and professionals in the field of computer science and engineering, electrical engineering, and information technology.
Cloud Portability and Interoperability: Issues and Current Trends (SpringerBriefs in Computer Science)
by Antonio Esposito Beniamino Di Martino Giuseppina CretellaThis book offers readers a quick, comprehensive and up-to-date overview of the most important methodologies, technologies, APIs and standards related to the portability and interoperability of cloud applications and services, illustrated by a number of use cases representing a variety of interoperability and portability scenarios. The lack of portability and interoperability between cloud platforms at different service levels is the main issue affecting cloud-based services today. The brokering, negotiation, management, monitoring and reconfiguration of cloud resources are challenging tasks for developers and users of cloud applications due to the different business models associated with resource consumption, and to the variety of services and features offered by different cloud providers. In chapter 1 the concepts of cloud portability and interoperability are introduced, together with the issues and limitations arising when such features are lacking or ignored. Subsequently, chapter 2 provides an overview of the state-of-the-art methodologies and technologies that are currently used or being explored to enable cloud portability and interoperability. Chapter 3 illustrates the main cross-platform cloud APIs and how they can solve interoperability and portability issues. In turn, chapter 4 presents a set of ready-to-use solutions which, either because of their broad-scale use in cloud computing scenarios or because they utilize established or emerging standards, play a fundamental part in providing interoperable and portable solutions. Lastly, chapter 5 presents an overview of emerging standards for cloud Interoperability and portability. Researchers and developers of cloud-based services will find here a brief survey of the relevant methodologies, APIs and standards, illustrated by case studies and complemented by an extensive reference list for more detailed descriptions of every topic covered.
Cloud Radio Access Networks
by Tony Q. S. Quek Mugen Peng Osvaldo Simeone Wei YuThis unique text will enable readers to understand the fundamental theory, current techniques, and potential applications of Cloud Radio Access Networks (C-RANs). Leading experts from academia and industry provide a guide to all of the key elements of C-RANs, including system architecture, performance analysis, technologies in both physical and medium access control layers, self-organizing and green networking, standards development, and standardization perspectives. Recent developments in the field are covered, as well as open research challenges and possible future directions. The first book to focus exclusively on Cloud Radio Access Networks, this is essential reading for engineers in academia and industry working on future wireless networks.
Cloud Reliability Engineering: Technologies and Tools
by Rathnakar Achary Pethuru RajCoud reliability engineering is a leading issue of cloud services. Cloud service providers guarantee computation, storage and applications through service-level agreements (SLAs) for promised levels of performance and uptime. Cloud Reliability Engineering: Technologies and Tools presents case studies examining cloud services, their challenges, and the reliability mechanisms used by cloud service providers. These case studies provide readers with techniques to harness cloud reliability and availability requirements in their own endeavors. Both conceptual and applied, the book explains reliability theory and the best practices used by cloud service companies to provide high availability. It also examines load balancing, and cloud security. Written by researchers and practitioners, the book’s chapters are a comprehensive study of cloud reliability and availability issues and solutions. Various reliability class distributions and their effects on cloud reliability are discussed. An important aspect of reliability block diagrams is used to categorize poor reliability of cloud infrastructures, where enhancement can be made to lower the failure rate of the system. This technique can be used in design and functional stages to determine poor reliability of a system and provide target improvements. Load balancing for reliability is examined as a migrating process or performed by using virtual machines. The approach employed to identify the lightly loaded destination node to which the processes/virtual machines migrate can be optimized by employing a genetic algorithm. To analyze security risk and reliability, a novel technique for minimizing the number of keys and the security system is presented. The book also provides an overview of testing methods for the cloud, and a case study discusses testing reliability, installability, and security. A comprehensive volume, Cloud Reliability Engineering: Technologies and Tools combines research, theory, and best practices used to engineer reliable cloud availability and performance.
Cloud Scale Analytics with Azure Data Services: Build modern data warehouses on Microsoft Azure
by Patrik BoroschA practical guide to implementing a scalable and fast state-of-the-art analytical data estateKey FeaturesStore and analyze data with enterprise-grade security and auditingPerform batch, streaming, and interactive analytics to optimize your big data solutions with easeDevelop and run parallel data processing programs using real-world enterprise scenariosBook DescriptionAzure 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.What you will learnImplement data governance with Azure servicesUse integrated monitoring in the Azure Portal and integrate Azure Data Lake Storage into the Azure MonitorExplore the serverless feature for ad-hoc data discovery, logical data warehousing, and data wranglingImplement networking with Synapse Analytics and Spark poolsCreate and run Spark jobs with Databricks clustersImplement streaming using Azure Functions, a serverless runtime environment on AzureExplore the predefined ML services in Azure and use them in your appWho this book is forThis book is for data architects, ETL developers, or anyone who wants to get well-versed with Azure data services to implement an analytical data estate for their enterprise. The book will also appeal to data scientists and data analysts who want to explore all the capabilities of Azure data services, which can be used to store, process, and analyze any kind of data. A beginner-level understanding of data analysis and streaming will be required.
Cloud Security: Concepts, Applications and Perspectives (Cyber Ecosystem and Security)
by Brij B GuptaCloud computing is an indispensable part of the modern Information and Communication Technology (ICT) systems. Cloud computing services have proven to be of significant importance, and promote quickly deployable and scalable IT solutions with reduced infrastructure costs. However, utilization of cloud also raises concerns such as security, privacy, latency, and governance, that keep it from turning into the predominant option for critical frameworks. As such, there is an urgent need to identify these concerns and to address them.Cloud Security: Concepts, Applications and Perspectives is a comprehensive work with substantial technical details for introducing the state-of-the-art research and development on various approaches for security and privacy of cloud services; novel attacks on cloud services; cloud forensics; novel defenses for cloud service attacks; and cloud security analysis. It discusses the present techniques and methodologies, and provides a wide range of examples and illustrations to effectively show the concepts, applications, and perspectives of security in cloud computing. This highly informative book will prepare readers to exercise better protection by understanding the motivation of attackers and to deal with them to mitigate the situation. In addition, it covers future research directions in the domain. This book is suitable for professionals in the field, researchers, students who are want to carry out research in the field of computer and cloud security, faculty members across universities, and software developers engaged in software development in the field.
Cloud Security: Attacks, Techniques, Tools, and Challenges
by Preeti Mishra Emmanuel S Pilli R C JoshiCloud computing has gained paramount attention and most of the companies are adopting this new paradigm and gaining significant benefits. As number of applications and business operations are being facilitated by the cloud computing paradigm, it has become the potential target to attackers. The importance of well-organized architecture and security roles have become greater with the growing popularity. Cloud Security: Attacks, Techniques, Tools, and Challenges, provides an in-depth technical description about various key essential aspects of cloud security. We have endeavored to provide a technical foundation that will be practically useful not just for students and independent researchers but also for professional cloud security analysts for conducting security procedures, and all those who are curious in the field of cloud security The book offers comprehensive coverage of the most essential topics, including: Basic fundamentals of Cloud Computing Cloud security concepts, vulnerabilities, security standards and reference models Cloud security goals, key issues and privacy requirements Threat model, detailed taxonomy of cloud attacks, Attack feature analysis – case study A detailed taxonomy of IDS techniques and Cloud Intrusion Detection Systems (IDS) Attack and security tools, LibVMI – case study Advanced approaches: Virtual Machine Introspection (VMI) and Hypervisor Introspection (HVI) Container security: threat model, attacks and defense systems This book is intended for both academic and professional audience. It could also be used as a textbook, for a semester course at undergraduate and post graduate level in Computer Science, Information Technology, Information Security, and Information Science & Management. The book serves as basic reference volume for researchers in cloud security. It will be useful to practitioners, cloud security team, and the cloud security auditor as well. To get the most out of this book, the reader should have a working knowledge of various operating system environments, hypervisors, cloud computing fundamentals, programming languages like Python and a working knowledge of security tools.
Cloud Security: Concepts, Applications and Practices
by K. G. Srinivasa G. M. Siddesh Jamuna S. MurthyThis comprehensive work surveys the challenges, the best practices in the industry, and the latest developments and technologies. It covers the fundamentals of cloud computing, including deployment models, service models, and the benefits of cloud computing, followed by critical aspects of cloud security, including risk management, threat analysis, data protection, identity and access management, and compliance. Cloud Security explores the latest security technologies, such as encryption, multi‑factor authentication, and intrusion detection and prevention systems, and their roles in securing the cloud environment.Features: Introduces a user-centric measure of cyber security and provides a comparative study on different methodologies used for cyber security Offers real-world case studies and hands-on exercises to give a practical understanding of cloud security Includes the legal and ethical issues, including the impact of international regulations on cloud security Covers fully automated run-time security and vulnerability management Discusses related concepts to provide context, such as Cyber Crime, Password Authentication, Smart Phone Security with examples This book is aimed at postgraduate students, professionals, and academic researchers working in the fields of computer science and cloud computing.
Cloud Security
by Russell Dean Vines Ronald L. KrutzWell-known security experts decipher the most challenging aspect of cloud computing-securityCloud computing allows for both large and small organizations to have the opportunity to use Internet-based services so that they can reduce start-up costs, lower capital expenditures, use services on a pay-as-you-use basis, access applications only as needed, and quickly reduce or increase capacities. However, these benefits are accompanied by a myriad of security issues, and this valuable book tackles the most common security challenges that cloud computing faces.The authors offer you years of unparalleled expertise and knowledge as they discuss the extremely challenging topics of data ownership, privacy protections, data mobility, quality of service and service levels, bandwidth costs, data protection, and support.As the most current and complete guide to helping you find your way through a maze of security minefields, this book is mandatory reading if you are involved in any aspect of cloud computing.Coverage Includes:Cloud Computing FundamentalsCloud Computing Architecture Cloud Computing Software Security Fundamentals Cloud Computing Risks IssuesCloud Computing Security Challenges Cloud Computing Security ArchitectureCloud Computing Life Cycle IssuesUseful Next Steps and Approaches
Cloud Security and Governance
by Sumner Blount Rob ZanellaThe rise of Cloud Computing, with services delivered in the cloudA", offers businesses incredible power and flexibility. It promises the efficient use of human and financial capital resources, reducing infrastructure and operation costs. It proposes a model of computing that is effective at meeting the demands of business in a rapidly changing environment. Security and Compliance Issues One of the most difficult challenges related to Cloud Computing, revolves around the security and compliance issues associated with it. This is a major concern and will continue to be so, with the ever increasing onslaught of regulations impacting security controls. This pocket guide explains and highlights some of the key security and compliance issues surrounding Cloud adoption, and provides helpful insight into how they can be addressed. Read this pocket guide and - Learn what Cloud Computing is - This guide provides a definition of Cloud Computing, before proceeding through essential characteristics that comprise it. Cloud deployment methods and the benefits of Cloud Computing are then discussed. Understand Cloud security and privacy issues - Security and compliance are two of the primary inhibitors in Cloud adoption. This pocket guide highlights the security and privacy considerations to keep in mind when planning your Cloud strategy. Be aware of the key compliance challenges - Cloud compliance has several important challenges that do not relate specifically to security. This guide details some of the key compliance challenges that you will need to address, including multinational considerations, business continuity and disaster recovery, legal issues and specific regulatory requirements. The areas of security and compliance often represent the biggest inhibitors to adoption of Cloud Computing, and because the potential impacts of problems in these areas are so profound, it is essential that you carefully identify your requirements in these areas, perform extensive due diligence, and work with your provider to develop and monitor processes that will help you both succeed. Ensure Successful Cloud Deployment - Buy this essential guide to Cloud Security and Compliance today!