Monitoring platform for keeping systems up and running at all times.
Full stack visibility across the entire stack.
Detect and resolve any incident in record time.
Conform to industry best practices.
The AWS API Gateway is a powerful tool that allows developers to create, manage, and secure APIs at any scale. But, like any online service, it can occasionally throw a 500 Internal Server Error. This common HTTP response code indicates that an unexpected condition has occurred, preventing the server from fulfilling the request.
The 500 status code might be the most used and most generic HTTP error on this planet. It can be caused by many things. Here are a few possibilities:
Since the error can be anything really, a retry can technically solve that problem, but usually, it doesn’t. If you monitor your system carefully and get one of these every few million requests, it could be that cosmic rays flipped some bits or whatever. Still, if you see a 500 status code more often than that, it’s crucial to investigate; it can very well point to an inconsistency that will blow up sooner or later.
Debugging the AWS API Gateway involves using various AWS tools to hunt down the error and fix it.
With the right strategies, you can resolve these issues effectively. For a deeper understanding of server errors and API Gateway, visit What is AWS API Gateway? and explore more about the various pros and cons of using an API Gateway.
In this guide, we’ll talk about common problems developers face with serverless applications on AWS and share some practical strategies to help you monitor and manage your applications more effectively.
Today we are announcing a new, updated pricing model and the end of free tier for Dashbird.
In this article, we’re covering 4 tips for AWS Lambda optimization for production. Covering error handling, memory provisioning, monitoring, performance, and more.
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.