Monitoring platform for keeping systems up and running at all times.
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Detect and resolve any incident in record time.
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The AWS API Gateway is a robust platform enabling developers to create, manage, and secure APIs on any scale. But, like any online service, it can occasionally throw a 500 Internal Server Error. 409 Conflict Error. This HTTP response code indicates that the request conflicts with the current state of the server.
The 409 Conflict error signals that your request is trying to perform an action that conflicts with a resource’s current state. A resource could be a record in a DynamoDB table that’s integrated with your API. For instance, you might have tried to create a resource with a specific ID that already exists.
This error is also associated with something known as a caller’s reference. This reference is used to mark a request so that it gets executed only once. If you send it and don’t receive an answer from the API, you’re left uncertain if the request got lost before or after it reached the API, leading typically to a retry.
If the API hasn’t seen the caller reference from the previous attempt, it will execute it and respond with an appropriate status code. However, if the API has encountered the caller reference before, it responds with a 409 status code to indicate that your request was already accepted when you sent it the first time.
Thus, a retry typically won’t resolve this issue and could even be the source of this error code in the first place.
Debugging the 409 Conflict Error in the AWS API Gateway involves utilizing various AWS tools to track down the error and correct it.
With the correct strategies and tools, resolving these 409 errors effectively and ensuring optimal API performance becomes feasible.
In this article, we’re covering 4 tips for AWS Lambda optimization for production. Covering error handling, memory provisioning, monitoring, performance, and more.
In this article we’ll go through the ins and outs of AWS Lambda pricing model, how it works, what additional charges you might be looking at and what’s in the fine print.
Dashbird was born out of our own need for an enhanced serverless debugging and monitoring tool, and we take pride in being developers.
Dashbird gives us a simple and easy to use tool to have peace of mind and know that all of our Serverless functions are running correctly. We are instantly aware now if there’s a problem. We love the fact that we have enough information in the Slack notification itself to take appropriate action immediately and know exactly where the issue occurred.
Thanks to Dashbird the time to discover the occurrence of an issue reduced from 2-4 hours to a matter of seconds or minutes. It also means that hundreds of dollars are saved every month.
Great onboarding: it takes just a couple of minutes to connect an AWS account to an organization in Dashbird. The UI is clean and gives a good overview of what is happening with the Lambdas and API Gateways in the account.
I mean, it is just extremely time-saving. It’s so efficient! I don’t think it’s an exaggeration or dramatic to say that Dashbird has been a lifesaver for us.
Dashbird provides an easier interface to monitor and debug problems with our Lambdas. Relevant logs are simple to find and view. Dashbird’s support has been good, and they take product suggestions with grace.
Great UI. Easy to navigate through CloudWatch logs. Simple setup.
Dashbird helped us refine the size of our Lambdas, resulting in significantly reduced costs. We have Dashbird alert us in seconds via email when any of our functions behaves abnormally. Their app immediately makes the cause and severity of errors obvious.
End-to-end observability and real-time error tracking for AWS applications.