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Patterns of Distributed Systems [Pehme köide]

  • Formaat: Paperback / softback, 464 pages, kõrgus x laius x paksus: 230x190x20 mm, kaal: 853 g
  • Sari: Addison-Wesley Signature Series (Fowler)
  • Ilmumisaeg: 24-Nov-2023
  • Kirjastus: Addison Wesley
  • ISBN-10: 0138221987
  • ISBN-13: 9780138221980
  • Formaat: Paperback / softback, 464 pages, kõrgus x laius x paksus: 230x190x20 mm, kaal: 853 g
  • Sari: Addison-Wesley Signature Series (Fowler)
  • Ilmumisaeg: 24-Nov-2023
  • Kirjastus: Addison Wesley
  • ISBN-10: 0138221987
  • ISBN-13: 9780138221980
A Patterns Approach to Designing Distributed Systems and Solving Common Implementation Problems

More and more enterprises today are dependent on cloud services from providers like AWS, Microsoft Azure, and GCP. They also use products, such as Kafka and Kubernetes, or databases, such as YugabyteDB, Cassandra, MongoDB, and Neo4j, that are distributed by nature. Because these distributed systems are inherently stateful systems, enterprise architects and developers need to be prepared for all the things that can and will go wrong when data is stored on multiple servers--from process crashes to network delays and unsynchronized clocks.

Patterns of Distributed Systems describes a set of patterns that have been observed in mainstream open-source distributed systems. Studying the common problems and the solutions that are embodied by the patterns in this guide will give you a better understanding of how these systems work, as well as a solid foundation in distributed system design principles.

Featuring real-world code examples from systems like Kafka and Kubernetes, these patterns and solutions will prepare you to confidently traverse open-source codebases and understand implementations you encounter "in the wild."





Review the building blocks of consensus algorithms, like Paxos and Raft, for ensuring replica consistency in distributed systems Understand the use of logical timestamps in databases, a fundamental concept for data versioning Explore commonly used partitioning schemes, with an in-depth look at intricacies of two-phase-commit protocol Analyze mechanisms used in implementing cluster coordination tasks, such as group membership, failure detection, and enabling robust cluster coordination Learn techniques for establishing effective network communication between cluster nodes.

Along with enterprise architects and data architects, software developers working with cloud services such as Amazon S3, Amazon EKS, and Azure CosmosDB or GCP Cloud Spanner will find this set of patterns to be indispensable.

Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

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
Chapter 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

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