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@ -120,7 +120,7 @@ The key takeaways from this example are:
- The number of parallel tasks can be static or dynamic
- The workflow itself is capable of aggregating the results of parallel executions
While not shown in the example, it's possible to go further and limit the degree of concurrency using simple, language-specific constructs. Furthermore, the execution of the workflow is durable. If a workflow starts 100 parallel task executions and only40 complete before the process crashes, the workflow will restart itself automatically and schedule only the remaining 60 tasks.
While not shown in the example, it's possible to go further and limit the degree of concurrency using simple, language-specific constructs. Furthermore, the execution of the workflow is durable. If a workflow starts 100 parallel task executions and only 40 complete before the process crashes, the workflow restarts itself automatically and only schedules the remaining 60 tasks.
## Async HTTP APIs