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You could restrict the number of concurrent Lambda functions that can run but that might create other challenges for you - namely that your application won't scale when you need it to.
A better solution might be to throttle API Gateway calls. For example, you could throttle each individual client or just a specific stage.
If this is malicious traffic another solution could be to use WAF to protect your API. One example is where you could detect whether there are a lot of requests coming from a single IP address and dynamically deny or throttle access from there.
I believe rate based rules with WAF would be a good solution to protect your application against floods. This blog article may help you: https://aws.amazon.com/blogs/security/three-most-important-aws-waf-rate-based-rules/
Billing for WAF is according to webacl , rules and number of web requests received across all web ACLs. While billing for lamda is decreased due to waf , doesn't it instead increase billing for aws waf?
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Does Throttling API gateway call count towards API charge ?
I have another issue after implementing WAF. https://repost.aws/questions/QUNQvDBuveTF655KQOTpxjfw/aws-waf-didnt-block-requests-if-block-condition-matched-for-first-time I have posted my qn on that link to here also Using locust , I made WAF test on my application. I made a rate limit based rule to block IP if requests exceed 100 in a default 5 minute window. When I tested with concurrency 400 with spawn rate 40, then WAF doesnot block after total requests exceeds 100. But when I stop the test and make a new test in locust and then only WAF blocks that IP for 5 min .
I tested many times and found when I make a first locust test , WAF is not working even if condition meets. But it works if I stop that test and make a new test. My purpose of blocking through WAF seems not feasible since attacker can make attack with huge requests and that won't be blocked.