Effective Concurrency in Go Develop, Analyze, and Troubleshoot High Performance Concurrent Applications with Ease /

Gain a deep understanding of concurrency and learn how to leverage concurrent algorithms to build high-throughput data processing applications, network servers and clients that scale. Key Features Learn about the Go concurrency primitives, Go memory model, and common concurrency patterns Develop the...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Serdar, Burak (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2023.
Edición:1st edition.
Temas:
Go (Computer program language)
Computer multitasking.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright and Credit
  • Dedicated
  • Contributors
  • Table of Contents
  • Preface
  • Chapter 1: Concurrency
  • A High-Level Overview
  • Technical Requirements
  • Concurrency and parallelism
  • Shared memory versus message passing
  • Atomicity, race, deadlocks, and starvation
  • Summary
  • Question
  • Further reading
  • Chapter 2: Go Concurrency Primitives
  • Technical Requirements
  • Goroutines
  • Channels
  • Mutex
  • Wait groups
  • Condition variables
  • Summary
  • Questions
  • Chapter 3: The Go Memory Model
  • Why a memory model is necessary
  • The happened-before relationship between memory operations
  • Synchronization characteristics of Go concurrency primitives
  • Package initialization
  • Goroutines
  • Channels
  • Mutexes
  • Atomic memory operations
  • Map, Once, and WaitGroup
  • Summary
  • Further reading
  • Chapter 4: Some Well-Known Concurrency Problems
  • Technical Requirements
  • The producer-consumer problem
  • The dining philosophers problem
  • Rate limiting
  • Summary
  • Chapter 5: Worker Pools and Pipelines
  • Technical Requirements
  • Worker pools
  • Pipelines, fan-out, and fan-in
  • Asynchronous pipeline
  • Fan-out/fan-in
  • Fan-in with ordering
  • Summary
  • Questions
  • Chapter 6: Error Handling
  • Error handling
  • Pipelines
  • Servers
  • Panics
  • Summary
  • Chapter 7: Timers and Tickers
  • Technical Requirements
  • Timers
  • running something later
  • Tickers
  • running something periodically
  • Heartbeats
  • Summary
  • Chapter 8: Handling Requests Concurrently
  • Technical Requirements
  • The context, cancelations, and timeouts
  • Backend services
  • Distributing work and collecting results
  • Semaphores
  • limiting concurrency
  • Streaming data
  • Dealing with multiple streams
  • Summary
  • Chapter 9: Atomic Memory Operations
  • Technical Requirements
  • Memory guarantees
  • Compare and swap
  • Practical uses of atomics
  • Counters
  • Heartbeat and progress meter
  • Cancellations
  • Detecting change
  • Summary
  • Chapter 10: Troubleshooting Concurrency Issues
  • Technical Requirements
  • Reading stack traces
  • Detecting failures and healing
  • Debugging anomalies
  • Summary
  • Further reading
  • Index
  • Other Books You May Enjoy

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