book

Designing Distributed Systems

Name: Designing Distributed Systems
Author: Brendan Burns
ISBN: 9781491983645

by Brendan Burns

February 2018

Intermediate to advanced

162 pages

4h 8m

English

O'Reilly Media, Inc.

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Preface
Who Should Read This BookWhy I Wrote This BookThe World of Distributed Systems TodayNavigating This BookConventions Used in This BookOnline ResourcesUsing Code ExamplesO’Reilly SafariHow to Contact UsAcknowledgments
1. Introduction
A Brief History of Systems DevelopmentA Brief History of Patterns in Software DevelopmentFormalization of Algorithmic ProgrammingPatterns for Object-Oriented ProgrammingThe Rise of Open Source SoftwareThe Value of Patterns, Practices, and ComponentsStanding on the Shoulders of GiantsA Shared Language for Discussing Our PracticeShared Components for Easy ReuseSummary
I. Single-Node Patterns
MotivationsSummary
2. The Sidecar Pattern
An Example Sidecar: Adding HTTPS to a Legacy ServiceDynamic Configuration with SidecarsModular Application ContainersHands On: Deploying the topz ContainerBuilding a Simple PaaS with SidecarsDesigning Sidecars for Modularity and ReusabilityParameterized ContainersDefine Each Container’s APIDocumenting Your ContainersSummary
3. Ambassadors
Using an Ambassador to Shard a ServiceHands On: Implementing a Sharded RedisUsing an Ambassador for Service BrokeringUsing an Ambassador to Do Experimentation or Request SplittingHands On: Implementing 10% Experiments
4. Adapters
MonitoringHands On: Using Prometheus for MonitoringLoggingHands On: Normalizing Different Logging Formats with FluentdAdding a Health MonitorHands On: Adding Rich Health Monitoring for MySQL
II. Serving Patterns
Introduction to Microservices
5. Replicated Load-Balanced Services
Stateless ServicesReadiness Probes for Load BalancingHands On: Creating a Replicated Service in KubernetesSession Tracked ServicesApplication-Layer Replicated ServicesIntroducing a Caching LayerDeploying Your CacheHands On: Deploying the Caching LayerExpanding the Caching LayerRate Limiting and Denial-of-Service DefenseSSL TerminationHands On: Deploying nginx and SSL TerminationSummary
6. Sharded Services
Sharded CachingWhy You Might Need a Sharded CacheThe Role of the Cache in System PerformanceReplicated, Sharded CachesHands On: Deploying an Ambassador and Memcache for a Sharded CacheAn Examination of Sharding FunctionsSelecting a KeyConsistent Hashing FunctionsHands On: Building a Consistent HTTP Sharding ProxySharded, Replicated ServingHot Sharding Systems
7. Scatter/Gather
Scatter/Gather with Root DistributionHands On: Distributed Document SearchScatter/Gather with Leaf ShardingHands On: Sharded Document SearchChoosing the Right Number of LeavesScaling Scatter/Gather for Reliability and Scale

8. Functions and Event-Driven Processing
Determining When FaaS Makes SenseThe Benefits of FaaSThe Challenges of FaaSThe Need for Background ProcessingThe Need to Hold Data in MemoryThe Costs of Sustained Request-Based ProcessingPatterns for FaaSThe Decorator Pattern: Request or Response TransformationHands On: Adding Request Defaulting Prior to Request ProcessingHandling EventsHands On: Implementing Two-Factor AuthenticationEvent-Based PipelinesHands On: Implementing a Pipeline for New-User Signup
9. Ownership Election
Determining If You Even Need Master ElectionThe Basics of Master ElectionHands On: Deploying etcdImplementing LocksHands On: Implementing Locks in etcdImplementing OwnershipHands On: Implementing Leases in etcdHandling Concurrent Data Manipulation
III. Batch Computational Patterns
10. Work Queue Systems
A Generic Work Queue SystemThe Source Container InterfaceThe Worker Container InterfaceThe Shared Work Queue InfrastructureHands On: Implementing a Video ThumbnailerDynamic Scaling of the WorkersThe Multi-Worker Pattern
11. Event-Driven Batch Processing
Patterns of Event-Driven ProcessingCopierFilterSplitterSharderMergerHands On: Building an Event-Driven Flow for New User Sign-UpPublisher/Subscriber InfrastructureHands On: Deploying Kafka
12. Coordinated Batch Processing
Join (or Barrier Synchronization)ReduceHands On: CountSumHistogramHands On: An Image Tagging and Processing Pipeline
13. Conclusion: A New Beginning?
Index

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Designing Distributed Systems

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