2nd Edition. — Springer, 2023. — 368 p. — (Texts in Computer Science). — ISBN: 978-3-031-32043-9.
Numerous advancements are being brought in and incorporated into the cloud domain to realize a trove of deeper and more decisive automations.
Rather than discussing the cloud paradigm in isolation, this fully updated text examines how cloud computing can work collaboratively with other computing models to meet the needs of evolving trends. This multi-dimensional approach encompasses the challenges of fulfilling the storage requirements of big data, the use of the cloud as a remote server for the Internet of Things and sensor networks, and an investigation of how cloud computing is interlinked with other established computing phenomena such as edge computing. New chapters illustrate the distinct ideals of cloud-native computing, proclaimed as the next-generation cloud computing paradigm.
Cloud infrastructure modules and platforms play a pivotal role in producing and running state-of-the-art digital applications. Cloud-based data analytical and Artificial Intelligence (AI) frameworks come in handy in extracting actionable insights out of digital data. That is, clouds contribute immensely to fulfilling the ideals of digital intelligence. Highly scalable, reliable, composable, and observable applications can be realized and run on cloud runtime environments. All kinds of enterprise-scale business workloads are being meticulously modernized and migrated to the cloud arena to reap all the originally expressed benefits of cloud computing. The Internet of Things (IoT) sensors and devices are directly or indirectly integrated with cloud storage and analytics tools to enable knowledge discovery. The knowledge discovered then gets disseminated to IoT products, solutions, and services to deliver value to their users, operators, and owners.
Topics and featuresIncludes learning objectives, motivating questions, and self-test exercises.
Introduces the underlying concepts, fundamental features, and key technological foundations of cloud computing.
Examines how enterprise networking and cloud networking can work together to achieve business goals.
Reviews the different types of cloud storage available to address the evolution of data and the need for digitization.
Discusses the challenges and approaches to implementing cloud governance, security, and the hot topic of cloud management.
Describes the details of cloud migration, the crucial role of monitoring in optimizing the cloud, and the basics of disaster recovery using cloud infrastructure.
Introduction to Cloud Computing.
Cloud Computing Fundamentals.
Technological Foundations and Key Business Drivers of Cloud Computing.
Cloud Networking.
Storage Fundamentals and Cloud Storage.
Cloud Security.
Cloud Modernization and Migration.
Cloud Monitoring and Observability.
Basics of Cloud Management.
Cloud Governance, Management and Brokerage.
Cloud Integration and Orchestration.
Demystifying the Cloud-Native Computing Paradigm.
Delineating Cloud-Native Edge Computing.