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AWScloud~10 mins

Lambda concurrency and throttling in AWS - Step-by-Step Execution

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Process Flow - Lambda concurrency and throttling
Incoming Lambda Requests
Check Current Concurrency
Below Limit
Invoke Lambda
Process
Complete Execution
Decrease Concurrency Count
Lambda checks how many functions run at once. If below limit, it runs. If at limit, it stops new runs and returns an error.
Execution Sample
AWS
1. Set concurrency limit = 3
2. Receive 5 requests quickly
3. Invoke Lambda if concurrency < 3
4. Throttle if concurrency >= 3
Simulates 5 quick Lambda calls with a concurrency limit of 3 to show which run and which get throttled.
Process Table
StepIncoming Request #Current ConcurrencyCondition (Concurrency < Limit?)ActionResult
1100 < 3 (True)Invoke LambdaRequest 1 runs, concurrency = 1
2211 < 3 (True)Invoke LambdaRequest 2 runs, concurrency = 2
3322 < 3 (True)Invoke LambdaRequest 3 runs, concurrency = 3
4433 < 3 (False)Throttle RequestRequest 4 throttled, concurrency = 3
5533 < 3 (False)Throttle RequestRequest 5 throttled, concurrency = 3
6Request 1 completes3-Decrease concurrencyConcurrency = 2
7Request 4 retry22 < 3 (True)Invoke LambdaRequest 4 runs, concurrency = 3
💡 Requests 4 and 5 are throttled because concurrency reached the limit of 3.
Status Tracker
VariableStartAfter Step 1After Step 2After Step 3After Step 4After Step 5After Step 6After Step 7
concurrency01233323
request_statusnonerunning(1)running(1,2)running(1,2,3)throttled(4)throttled(5)running(2,3)running(2,3,4)
Key Moments - 2 Insights
Why are requests 4 and 5 throttled even though they arrived after requests 1, 2, and 3?
Because concurrency was already at the limit 3 when requests 4 and 5 arrived (see steps 4 and 5 in execution_table), Lambda cannot run more than 3 at once.
What happens to concurrency when a Lambda request finishes?
Concurrency decreases by 1 (step 6), allowing new requests to run if they retry (step 7).
Visual Quiz - 3 Questions
Test your understanding
Look at the execution table, what is the concurrency value after step 3?
A3
B2
C1
D0
💡 Hint
Check the 'Current Concurrency' column at step 3 in the execution_table.
At which step does the first request get throttled?
AStep 2
BStep 4
CStep 3
DStep 5
💡 Hint
Look for the first 'Throttle Request' action in the execution_table.
If the concurrency limit was increased to 5, what would happen at step 5?
ARequest 4 would be throttled
BRequest 5 would be throttled
CRequest 5 would run
DNo requests would run
💡 Hint
Compare concurrency and limit at step 5 in the execution_table and imagine the limit is 5 instead of 3.
Concept Snapshot
Lambda concurrency limits how many functions run at once.
If concurrency reaches the limit, new requests are throttled.
When a function finishes, concurrency decreases.
Throttled requests can retry later.
This protects backend resources from overload.
Full Transcript
This visual execution shows how AWS Lambda handles concurrency and throttling. When Lambda receives requests, it checks how many functions are running. If the number is below the concurrency limit, Lambda runs the function and increases concurrency. If the limit is reached, Lambda throttles new requests, returning an error. When a running function finishes, concurrency decreases, allowing throttled requests to retry and run. This process ensures Lambda does not overload resources by running too many functions at once.