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As far as I understand, my Google Cloud Functions are globally accessible. If I want to control access to them, I need to implement authorization as a part of the function itself. Say, I could use Bearer token based approach. This would protect the resources behind this function from unauthorized access.However, since the function is available globally, it can still be DDoS-ed by a bad guy. If the attack is not as strong as Google's defence, my function/service may still be responsive.

Shadow kings game online. This is good. However, I don't want to pay for those function calls made by the party I didn't authorize to access the function. (Since the billing is per number of function invocations). That's why it's important for me to know whether Google Cloud Functions detect DDoS attacks and enable counter-measures before I'm being responsible for charges. It'd be good to know what is behind etc? For google cloud functions it'll be just millions of valid http calls for example. Even if you filter them in your app with your own logic, you will be charged for the function call anyway.

You can base then the rate limits on app usage on peak hours, but if the attacker will find the limit (easily) and attack in a slightly lower number of calls needed to google functions to become paused you'll just pay maximum all the time, and regular users will not be able to use the app based on this functions baceuse of the pauses. Looks like Epic Fail.–Jul 9 '18 at 18:33. I think the question about DDOS protection has been sufficiently answered. Unfortunately the reality is that, DDOS protection or no, it's easy to rack up a lot of charges. I racked up about $30 in charges in 20 minutes and DDOS protection was nowhere in sight. We're still left with ' I don't want to pay for those function calls made by the party I didn't authorize to access the function.' So let's talk about realistic mitigation strategies.

Google doesn't give you a way to put a hard limit on your spending, but there are various things you can do.Limit the maximum instances a function can haveWhen editing your function, you can specify the maximum number of simultaneous instances that it can spawn. Set it to something your users are unlikely to hit, but that won't immediately break the bank if an attacker does. Then.Set a budget alertYou can create budgets and set alerts in the Billing section of the cloud console. But these alerts come hours late and you might be sleeping or something so don't depend on this too much.Obfuscate your function namesThis is only relevant if your functions are only privately accessed. You can give your functions obfuscated names (maybe hashed) that attackers are unlikely to be able to guess. If your functions are not privately accessed maybe you can.Set up a Compute Engine instance to act as a relay between users and your cloud functionsCompute instances are fixed-price.

Attackers can slow them down but can't make them break your wallet. You can set up rate limiting on the compute instance. Users won't know your obfuscated cloud function names, only the relay will, so no one can attack your cloud functions directly unless they can guess your function names.Have your cloud functions shut off billing if they get called too muchEvery time your function gets called, you can have it increment a counter in Firebase or in a Cloud Storage object. If this counter gets too high, your functions can automatically disable billing to your project.Google provides an example for how a cloud function can disable billing to a project:In the example, it disables billing in response to a pub/sub from billing. However the price in these pub/subs is hours behind, so this seems like a poor strategy. Having a counter somewhere would be more effective.