When I created a lambda function with Typescript and GraphQL support with the apollo-server-lambda module (see the repo here), I got the error. It took me a while to figure out how to fix it, but finally I did by adding a module to webpack. The solution for this issue …

I have created a boilerplate for TypeScript lambda function. If you are into JavaScript, I have the boilerplate here. TypeScript is really JavaScript that scales as the official tag line suggests. It is type-safe and the TypeScript specific intellisense provided by Visual Code Studio is amazing. Compared to writing in …

AWS Lambda function allows you to run a piece of code in a serverless manner. All you need to do is to upload your function to the cloud. It sounds easy. The problem is that the function seldom runs on its own. Most of the time, it is only useful …

Ingesting data upon the file creating on S3 bucket enables near real-time data ingestion. For example, you may need to ingest log files from applications or API monitoring tools as soon as they land on the bucket. Just to get it started, let’s move the file from the source bucket …

You can deploy lambda functions manually with hard-coded environment variables. But, that is not a good development practice. When we deploy the function to production, the deployment process eliminates the necessity of changing any input parameters or configuration. Serverless is a lambda function deployment tools that enable good development practice …

In the previous post, we discussed how to move data from the source S3 bucket to the target whenever a new file is created in the source bucket by using AWS Lambda function. In this post, I will show you how to use Lambda to execute data ingestion from S3 …

Let’s say you have data coming into S3 in your AWS environment every 15 minutes and want to ingest it as it comes. The best approach for this near real-time ingestion is to use AWS lambda function. To demonstrate how to develop and deploy lambda function in AWS, we will …

To deploy a AWS lambda function written in Python, you need to package all the modules that are used in your code before pushing it to your environment. Serverless is a great lambda deployment framework. It takes care of all the packaging and deployment. With Python, the best approach to …

Docker and Serverless do not work well with Windows. I have tried so many different ways to make them work, to no avail. My solution is to use an Ubuntu virtual machine. I primarily use those frameworks for AWS lambda developments with both Python and Node.js. Here is how I …