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Shulph Ink

Cloud Reliability Engineering: Technologies and Tools

Cloud Reliability Engineering: Technologies and Tools

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Cloud reliability engineering is a critical issue for cloud services, and Cloud Reliability Engineering: Technologies and Tools provides case studies and techniques to harness cloud reliability and availability requirements. It discusses reliability theory, best practices, load balancing, cloud security, and testing methods, and offers a comprehensive overview of engineering reliable cloud availability and performance.

Format: Paperback / softback
Length: 338 pages
Publication date: 12 April 2021
Publisher: Taylor & Francis Ltd


Cloud reliability engineering is a critical issue in the realm of cloud services, as 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 delves into the complexities of cloud services, their challenges, and the reliability mechanisms employed by cloud service providers. Through comprehensive case studies, the book offers valuable insights into harnessing cloud reliability and availability requirements in various endeavors. It provides a solid foundation in reliability theory and showcases best practices used by cloud service companies to ensure high availability. The book also examines key topics such as load balancing, cloud security, and reliability class distributions, exploring their impact on cloud reliability.

Written by researchers and practitioners, the book's chapters cover a wide range of cloud reliability and availability issues and solutions. It discusses various reliability class distributions and their implications for cloud reliability, employing reliability block diagrams to categorize and address poor reliability in cloud infrastructures. The book explores load balancing techniques, both as a migrating process and through the use of virtual machines, highlighting the optimization of the migration approach through genetic algorithms. Additionally, it presents a novel technique for minimizing the number of keys and enhancing security systems in cloud environments.

The book provides an overview of testing methods for the cloud, emphasizing the importance of rigorous testing to ensure the reliability and robustness of cloud services. It also discusses the role of cloud reliability engineering in the context of emerging technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT).

In conclusion, Cloud Reliability Engineering: Technologies and Tools is a valuable resource for professionals, researchers, and students seeking to understand and enhance the reliability of cloud services. It offers a comprehensive examination of cloud reliability engineering, covering key technologies, tools, and best practices. By leveraging the insights provided in this book, organizations can build resilient and high-performing cloud infrastructures that meet the evolving demands of their customers.

Weight: 524g
Dimension: 154 x 233 x 23 (mm)
ISBN-13: 9780367467753

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