Debugging with Dashbird: Lambda Configuration Error. The “Lambda configuration error” is as generic as it gets but at the end of the day, it’s a pathing issue. There are dozens of configuration attributes you can set for your Lambda function.
This article was originally published on: https://dashbird.io/blog/lambda-configuration-error/
It shouldn’t be a surprise that Lambda configuration error is one of the most common error messages, and we all know AWS error messages aren’t known for being especially detailed. Oftentimes you will come across other vague error messages like “ encoding not enabled,” or “stream is failing,” and depending on the context, this could mean your services could be completely down.
The Lambda configuration error is as generic as it gets; there are dozens of configuration attributes you can set for your Lambda function, and if you don’t know them all by heart, anything or everything could be the culprit here.
This error can have many causes, but it simply means that the Lambda service can’t reach your handler function.
Lambda is a function as a service (FaaS) offering and tries to simplify hosting. While virtual machines and containers are long-running servers that hold state, FaaS removes state and only executes a function. The function receives input and generates output or has side-effects.
When you want to use Lambda, you have to supply it with a supported programming language function. If this function is missing or can’t be reached due to other problems, you will end up with the dreaded Lambda configuration error.
In this blog post, we are going to discuss how to Debugging AWS Lambda Functions with AWS X-Ray. By instrumenting our Lambda function and its related services with AWS X-Ray, we improve our ability to solve issues with our functions.
Serverless Express enables you to easily host Express.js APIs on AWS Lambda and AWS HTTP API. Here is how to get started and deliver a Serverless Express.js based API with a custom domain, free SSL certificate and much more!
Why AWS Console isn’t the best for serverless debugging? We all know that debugging serverless is time-consuming and hard and that AWS Console doesn’t make it much easier. Across the AWS console, and adding tons of friction to debugging and troubleshooting efforts.
Adding Code to AWS Lambda, Lambda Layers, and Lambda Extensions Using Docker. With Docker, we have three ways to add code to Lambda that isn’t directly part of our Lambda function. Try to AWS Lambda, Lambda Layers, and Lambda Extensions Using Docker.
Serverless Proxy with AWS API Gateway and AWS Lambda. We can communicate between Public and Private instance via a Serverless Proxy thanks to AWS Api Gateway and AWS Lambda. Github Webhook calls a Public API Gateway, API Gateway triggers a Lambda attached to VPC.