The goal is to start running tests that is part of my code base with each push to main and also any pull requests to main branch. This blog post will not cover any linting or deployment of the ruby on rails web application. The final yaml is tested with ruby version 3.0.0 and ruby on rails version 6.1.3.1 at the time of writing. Skip to end of the post to view the finished yaml.

This blog is running on the ghost blogging platform at the time of this writing. Its current running version 3.42.x and there was a new major version released recently and its currently on version 4.2.0. There are guides available on ghost documentation site to help make the upgrade when you have installed ghost on a server using the ghost-CLI tooling. However, none exists for ghost running on Kubernetes, or docker containers. ghost-cli update path seemed desirable compared to the clean install option especially because some database migration might be involved I assumed. Also, I didnt want to re-configure my site with google analytics etc.

Many are now familiar with using typed configuration that’s available in .net core and .net 5 with the help from Options pattern. However, if you are working on a projects targeting .NET Framework, you will know ConfigurationSection from System.Configuration assembly.

GitHub had announced a major feature on their platform which is GitHub packages. As well as hosting private npm or NuGet registries, GitHub packages also includes private docker registries. If you use GitHub for hosting your private project, it might make sense to use the private docker registry from GitHub.

In a previous post, I went over creating a Dockerfile for Haskell Yesod application. In this post, I will reuse part of the Dockerfile we ended up with and modify it so that we can build the docker image with GitHub Workflows.

Yesod is one of the web frameworks available for Haskell. It seems to be the easiest one out of the multiple choices available to get started with.

In this article, we will be looking into a memory-efficient way of streaming data from MongoDB collection into AWS S3 File Storage using the System.IO.Pipelines introduced in .Net Standard 2.1. I will be using MongoDB version 3.6 and going to be assuming that the appropriate indexes are created for the particular query.

This article is insipired by the blog post Elegant Database Migrations on ECS from Adam Stepinski. The original article guides you through setting up an application thats setup with Django Framework. I am going to presribe a method with the following technologies:

Using AWS CDK with an admin user is all fine and straight forward. But, when it comes to creating a deployment pipeline with an IAM user specifically created with the actual permission needed, it can take a long time of trialing and failing to get to the final list of IAM policy statements.

Let’s take a look at a function that took a score between 1 and 100 and returned a rating out of 5.