Created
July 16, 2025 15:38
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Force lambda concurrent executions quota increase
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import boto3 | |
import json | |
import multiprocessing | |
from botocore.exceptions import ClientError | |
function_name = "hello-world-quota-limit" | |
payload = { | |
"key1": "test-key1", | |
"key2": "test-key2", | |
"key3": "test-key3" | |
} | |
payload_bytes = json.dumps(payload).encode() | |
def invoke_lambda(index): | |
try: | |
client = boto3.client("lambda") | |
response = client.invoke( | |
FunctionName=function_name, | |
InvocationType="RequestResponse", | |
Payload=payload_bytes | |
) | |
status = response["ResponseMetadata"]["HTTPStatusCode"] | |
result_raw = response["Payload"].read().decode() | |
try: | |
result = json.loads(result_raw) | |
except json.JSONDecodeError: | |
result = result_raw | |
print(f"[{index}] ✅ HTTP {status} | result: {result}") | |
return (status, result) | |
except ClientError as e: | |
code = e.response["Error"]["Code"] | |
print(f"[{index}] ❌ ClientError: {code}") | |
return (code, None) | |
except Exception as e: | |
print(f"[{index}] ❌ Exception: {e}") | |
return (None, str(e)) | |
if __name__ == "__main__": | |
total = 50 # Number of concurrent invocations | |
with multiprocessing.Pool(processes=total) as pool: | |
results = pool.map(invoke_lambda, range(1, total + 1)) | |
throttled = sum(1 for status, _ in results if status == "TooManyRequestsException") | |
ok = sum(1 for status, _ in results if status == 200) | |
print(f"\nSUMMARY:\n✅ Success: {ok} / {total}\n🚫 Throttled: {throttled} / {total}") |
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