Patterns of Distributed Systems - Unmesh Joshi
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Présentation Patterns Of Distributed Systems de Unmesh Joshi Format Broché
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Résumé : Learn How to Better Understand Distributed System Design and Solve Common Problems Enterprises today rely on a range of distributed software handling data storage, messaging, system management, and compute capability. Distributed system designs need to be implemented in some programming language, and there are common problems that these implementations need to solve. These problems have common recurring solutions. A patterns approach is very suitable to describe these implementation aspects. Patterns by nature are generic enough to cover a broad range of products from cloud services like Amazon S3 to message brokers like Apache Kafka to infrastructure frameworks like Kubernetes to databases like MongoDB or Actor frameworks like Akka. At the same time the pattern structure is specific enough to be able to show real code. The beauty of this approach is that even if the code structure is shown in one programming language (Java in this case), the structure applies to many other programming languages. Patterns also form a system of names, with each name having specific meaning in terms of the code structure. The set of patterns presented in Patterns of Distributed Systems will be useful to all developers--even if they are not directly involved in building these kinds of systems, and mostly use them as a black box. Learning these patterns will help readers develop a deeper understanding of the challenges presented by distributed systems and will also help them choose appropriate cloud services and products. Coverage includes Patterns of Data Replication, Patterns of Data Partitioning, Patterns of Distributed Time, Patterns of Cluster Management, and Patterns of Communication Between Nodes. The patterns approach used here will help you
Biographie: Unmesh Joshi is a Principal Consultant at Thoughtworks with 22 years of industry experience. He is a software architecture enthusiast, who believes that understanding principles of distributed systems is as essential today as understanding web architecture or object-oriented programming was in the last decade. For the last two years he has been publishing patterns of distributed systems on martinfowler.com. He has also conducted various training sessions around this topic. Twitter: @unmeshjoshi
Sommaire: Preface Acknowledgments About the Author Part I: Narratives Chapter 1: The Promise and Perils of Distributed Systems Chapter 2: Overview of the Patterns Part II: Patterns of Data Replication Chapter 3: Write-Ahead Log Chatper 4: Segmented Log Chapter 5: Low-Water Mark Chapter 6: Leader and Followers Chapter 7: HeartBeat Chapter 8: Paxos Chapter 9: Replicated Log Chapter 10: Majority Quorum Chapter 11: Generation Clock Chapter 12: High-Water Mark Chapter 13: Singular Update Queue Chapter 14: Request Waiting List Chapter 15: Idempotent Receiver Chapter 16: Follower Reads Chapter 17: Versioned Value Chapter 18: Version Vector Part III: Patterns of Data Partitioning Chapter 19: Fixed Partitions Chapter 20: Key-Range Partitions Chapter 21: Two-Phase Commit Part IV: Patterns of Distributed Time Chapter 22: Lamport Clock Chapter 23: Hybrid Clock Chapter 24: Clock-Bound Wait Part V: Patterns of Cluster Management Chapter 25: Consistent Core Chapter 26: Lease Chapter 27: State Watch Chapter 28: Gossip Dissemination Chapter 29: Emergent Leader Part VI: Patterns of Communication between Nodes Chapter 30: Single Socket Channel Chapter 31: Request Batch Chapter 32: Request Pipeline References Index
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