Comment by esafak
By checking a health end point. (I'm not the owner.)
By checking a health end point. (I'm not the owner.)
ok how does it actually work. i get it you ll check for 500 errors by hitting multiple endpoints every x units of time. But the number of endpoints you must check also keeps going up for your service. Today you start and have 10 endpoints,6 months down the line you need to check 10000 endpoints every x units of time. How do you manage scaling this?
Right, we ping the servers every minute. Since we charge a one-time fee the credits expire after a year, but the service is scaleable. To answer your question I'll give you some more context:
The architecture uses scalable AWS serverless components (Lambda, SQS, DynamoDB) and is well-suited to handle a large increase in monitored endpoints. The primary scaling mechanism is the automatic concurrency scaling of the Lambda functions processing messages from SQS queues. Should we scale to 10,000 endpoints we do expect some bottlenecks that would require optimizing i.e. increasing lambda timeouts/memory etc. but we'll cross that bridge when we get to it.
For the actual sms sending our numbers can send up to 100 sms texts/second.
Just looked into Rootly - looks great. This was an mvp launch to test the concept but I'll see about building the multi-cloud setup. Nice to see another Western alum here.
Haha not quite! We host our main startup (Website + app) on AWS and have been using it for around 7 months internally, it's worked great for us so far.
But if something crazy like the 2023 outage happens again then you're absolutely right. Though you'd likely get a news alert for it - our fallback :)
If we get enough traction we'll look into a multi-cloud setup to mitigate that risk. For now our goal is to help with notifying you when your server goes down due to more common reasons.
thank you for the detail responses, so i understand that you have a lambda function that fires a request to fetch a website url from dynamodb, since lambda's require a memory limit and a timeout, how much memory is each function using and what is the timeout for a request (30s?) Also does each lambda function handle a single url or we doing asyncio aiohttp stuff with a whole bunch of urls at one go?
Correct. It requires an unauthenticated endpoint that retuns a 200 response. So usually this is the /health endpoint, but as long as we can send a ping it works.