How Does FunctionGraph Process Concurrent Requests?
FunctionGraph automatically scales in or out function instances based on the number of requests. If the number of concurrent requests increases, FunctionGraph allocates more function instances to process the requests. If that number decreases, FunctionGraph allocates fewer function instances accordingly.
Number of function instances = Function concurrency/Concurrency per instance
- Function concurrency: the number of requests concurrently executed by a function at a certain time point.
- Concurrency per instance: the maximum number of concurrent requests allowed by a single instance. This is equivalent to the Max. Requests per Instance parameter on the Concurrency page.
For details about related services that may be involved in concurrent requests, see Supported Event Sources.
Function Execution FAQs FAQs
- How Long Does It Take to Execute a FunctionGraph Function?
- Which Steps Are Included in Function Execution?
- How Does FunctionGraph Process Concurrent Requests?
- What If Function Instances Have Not Been Executed for a Long Time?
- How Can I Speed Up Initial Access to a Function?
- How Do I Know the Actual Memory Used for Function Execution?
- Why Is My First Request Slow?
- What Do I Do If an Error Occurs When Calling an API?
- How Do I Read the Request Header of a Function?
- Can a Function Invoke Another Function?
- Can the Synchronous Execution Interface Be Invoked on a Private Network?
- Why Does a Function Use More Memory Than Estimated and Even Trigger the Out of Memory Alarm?
- How Do I Check the Memory Usage When Seeing "runtime memory limit exceeded"?
- How Do I Troubleshoot "CrashLoopBackOff"?
- After I Updated an Image with the Same Name, Reserved Instances Still Use the Old Image. What Can I Do?
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