Detecting and Fixing Unbound Concurrency Problems - Ivan Valkov

Uncover the secrets of detecting and fixing unbound concurrency problems in Go. Learn how to use profiling, benchmarks, metrics, and code analysis to identify and resolve these issues, ensuring the stability and performance of your applications.

Key takeaways
  • Unbound concurrency can lead to out-of-memory errors and service crashes.
  • Profiling can be used to reproduce and debug concurrency issues.
  • Go benchmarks can be used to simulate load and reproduce problems.
  • Metrics can be used to identify problems, but they don’t always pinpoint the root cause.
  • Limiting the number of goroutines can prevent unbound concurrency, but it may not be suitable for all use cases.
  • Dropping logs if the queue is full can prevent out-of-memory errors, but it may not be acceptable for all applications.
  • Using a separate queue outside the application can help handle spikes in load and prevent out-of-memory errors.
  • Configurable solutions allow users to adjust the behavior of the application based on their use case.
  • Understanding the codebase and the failure scenarios of the application is essential for fixing concurrency issues.
  • Tools like Go park can be used to visualize the goroutine stacks and identify the source of the problem.