In today’s post, we’ll learn about Mnesia, see when you would use such a tool, and take a look at some of the pros and cons of using it. After covering the fundamentals of Mnesia, we’ll dive right into a sample application where we’ll build an Elixir application that uses Mnesia as its database. Let’s jump right in!
I’d like for you to think of your favorite app that you use almost every day. What do you use it for and why? Next, I’d like for you to think of the last time the app had a major design change that made you think, “What was the company thinking? Why would they change something that worked perfectly fine and make it so unusable? Did they not consult actual users before making this change?”
Hey there. Welcome to the fifth and final installment in our series on successfully deploying an app to AWS with the least effort. This week, we'll discuss things you need to worry about now that you've released, plus optimizing your app. Ok, so you've released your app. Congrats! However, we both know your work doesn't end here. You should continue improving your app, both on the end-user side and the back end.
Today we launched the Rancher Academy, our new free training portal. The first course is Certified Rancher Operator: Level 1, and in it you’ll learn exactly how to deploy Rancher and use it to deploy and manage Kubernetes clusters. This professional certification program is designed to help Kubernetes practitioners demonstrate their knowledge and competence with Kubernetes and Rancher – and to advance in their careers.
Elasticsearch and MongoDb are the two most popular distributed datastores used to manage NoSQL data. Both of these technologies are highly scalable and have document-oriented design at the core. There are differences between the two technologies, however, and it’s important to understand these differences in order to choose the right one for your use case. This blog post will examine the differences between these two technologies in a number of critical areas.
