The Resource Pooling pattern manages a pool of reusable resources (like database connections, HTTP clients, or file handles) to avoid the overhead of creating and destroying resources frequently. This pattern is essential for improving performance, managing resource limits, reducing overhead, and ensuring efficient resource utilization.
NOTE: For other posts on concurrency patterns, check out the index post to this series of concurrency patterns.
The Event Loop pattern processes events from multiple sources in a single thread using a central event loop. This pattern is essential for handling multiple event sources efficiently, managing I/O operations, building reactive systems, and coordinating multiple concurrent operations in a controlled manner.
NOTE: For other posts on concurrency patterns, check out the index post to this series of concurrency patterns.
The Singleflight pattern ensures that only one execution of a function is in-flight for a given key at a time. Duplicate callers wait for the result instead of executing the function again. This pattern is essential for preventing duplicate expensive operations, caching with concurrent access, API call deduplication, and database query optimization.
NOTE: For other posts on concurrency patterns, check out the index post to this series of concurrency patterns.
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.
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