In this post, l explain how we used Visual Studio Codeโs Development Container feature as a stepping stone in our long-term effort to achieve Collaborative Infrastructure as Code. This one step in the process gave a versioned, repeatable working environment and allowed us time to determine the next steps in the effort to achieve IaC.
In this blog, we utilize the strengths of Docker containers to quickly spin up two separate containers that we can utilize for our software development needs – one running the DeepStack API software and the other running a utility to help us get started with the DeepStack API.
The best part is that once we are comfortable with our setup, we could quickly and easily stop and remove the DeepStackUI utility container to free up resources all while continuing to run the DeepStack API software without interruption.
Microservices has become a catch-all term in the industry used to describe anything from architecture patterns to actual service implementations.
With such a broad spectrum, it can be daunting to know what it is, what it isnโt, and maybe more importantly, why we should care.
In this post, Iโll provide an overview of three kinds of Microservices that I have observed in client architectures: Domain, Integration, and Unit-of-Work. Iโll also discuss specific examples of their purposes and a method to implement each one.
In this post, I will be introducing three strategies that can help Node developers who wish to loosen their code. First, weโll cover microservices with Moleculer. Then, weโll through Inversion of Control with InversifyJS. Finally, weโll discuss N-Tier Architecture and why itโs helpful.
On my last two projects, I decided to give Azure Data Studio a try to see how it measured up to SSMS. Azure Data Studio gives you a more modern editor experience. Itโs comparable to Visual Studio Code with IntelliSense, source control with GIT, and an integrated terminal for Powershell or SQLMD commands.
Azure Data Studio was built with a data platform user in mind, and its easy editing and export options, built-in charting of query results, and customizable dashboards make it an incredibly valuable tool.
In this post, Iโll go over some of the basics of how to use Azure Data Studio.