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Terraform for better or worse is frequently updated with new versions. Many of these introduce incompatibilities with previous versions that require manual rework of Terraform definitions as well as require updating the local or remote Terraform state. I originally developed a solution for deploying Next.js to AWS using Terraform
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There are many ways to stand up a REST API. Nearly every programming language provides a way for us to develop a simple web server, such as Express.js, Go Gin or Python Flask. However, with the advent of serverless computing, we need to rethink some of the fundamentals of
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TypeScript is an excellent language for writing AWS Lambda functions. Its flexible static typing allows for high developer productivity and since it can be transpiled into JavaScript, our code can be bundled into small deployment packages that allow for fast Lambda cold starts, without need for keeping 'warm'
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I've written a couple of posts about how to set up JavaScript and TypeScript Monorepos over the past three years (#1, #2, #3, #4, #5, #6, #7), and I kind of thought I had it all figured out - but I didn't. It turned out that
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I have been doing some research on how to do speech to text conversion. Initially, I thought there may be a good iOS app that I could simply use on my iPhone. But while there were a number of apps available to support dictation most of these seem to be
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Next.js 11 includes an exciting new feature for dynamically optimising images using the tag. Unfortunately, this new feature does not play nicely with exporting a static version of the Next.js app using yarn next export by its very design. This is not great for serverless deployments, which often
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Serverless development allows deploying low-cost, low-maintenance applications. Go is an ever-more popular language for developing backend applications. With first rate support both in AWS Lambda and GCP Cloud Functions, Go is an excellent choice for serverless development. Unfortunately, setting up a flexible infrastructure and efficient deployment pipelines for Serverless applications
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AWS Lambda is a cost efficient and easy way to deploy server applications. Express.js is a very popular Node.js framework that makes it very easy to develop REST APIs. This post will go through the basics of deploying an Express.js application to AWS Lambda. You can also
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Next.js is becoming ever more popular these days and rightfully so. It is an extremely powerful and well-made framework that provides some very useful abstractions for developing React applications. An easy way to deploy Next.js application is through using Vercel. However, it can also be useful to deploy
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I've recently covered how to deploy a Node JS based Lambda using SAM and Buildkite. I would say that this should cover most use cases, since I believe a majority of AWS Lambdas are implemented with JavaScript. However, Lambda supports many more programming languages than just JavaScript and
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One of the many good things about Lambdas on AWS is that they are quite easy to deploy. Simply speaking, all that one requires is a zip file of an application that then can be uploaded using an API call. Things unfortunately quickly become more complicated, especially if the Lambda
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Problem You would like to resize a volume attached to an EC2 instance. Solution Do the following: * Create a snapshot of your volume (instructions) * Stop your instance * Go to EBS / Volumes and select Actions / Modify Volume * Enter the new size for your volume (note you can only ever make the