The MapReduce pattern processes large datasets by breaking the work into two phases: Map (process data in parallel) and Reduce (aggregate results). This pattern is essential for processing large datasets in parallel, distributed computing, data analytics and aggregation, and batch processing jobs.
NOTE: For other posts on concurrency patterns, check out the index post to this series of concurrency patterns.
The Rate Limiting pattern controls the frequency of operations to prevent resource exhaustion and ensure fair usage. This pattern is essential for API request throttling, resource protection, preventing DoS attacks, and ensuring system stability under load.
NOTE: For other posts on concurrency patterns, check out the index post to this series of concurrency patterns.
The Timeouts and Cancellation pattern uses context.Context or channels to control the lifecycle of concurrent operations. This pattern is essential for preventing goroutines from running indefinitely, graceful shutdown of operations, resource cleanup and management, and building responsive applications.
NOTE: For other posts on concurrency patterns, check out the index post to this series of concurrency patterns.
The Publish-Subscribe (Pub/Sub) pattern decouples message producers (publishers) from consumers (subscribers). Publishers send messages to a topic or channel, and all subscribers to that topic receive the messages. This pattern is essential for event-driven architectures, broadcasting messages to multiple consumers, and decoupling senders and receivers.
NOTE: For other posts on concurrency patterns, check out the index post to this series of concurrency patterns.
The Supervisor/Restart pattern involves a supervisor goroutine that monitors one or more worker goroutines. If a worker fails (panics or exits unexpectedly), the supervisor restarts it. This pattern is essential for building resilient and fault-tolerant systems, automatically recovering from transient errors, and ensuring critical tasks are always running.
NOTE: For other posts on concurrency patterns, check out the index post to this series of concurrency patterns.
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