Systems | Development | Analytics | API | Testing

Writing tests is an essential part of any Elixir developer's routine. We're constantly chasing knowledge on how to write better tests, improving their speed and readability. In this three-part series, we'll explore test data generation in Elixir. Whether you are a mid-level or senior-level Elixir developer, this series will provide valuable insights to help improve the testing process for your projects.

Java is an Object-Oriented Programming (OOP) language which makes it one of the most appealing languages. Object-Oriented Programming (OOP) delivers a tidy modular structure and hence makes it easier to decode complicated problems. The modular nature of JAVA allows programmers to write reusable code and furthermore improves the development process.

There are many options to choose from when evaluating static analysis software: paid versions, free or community versions, and open-source software that anyone can view, use, and modify. Free tools may sound like a bargain as you are exploring your options, but do free static analysis tools actually work for your programming needs? Here, we discuss the benefits and limitations of free static analysis tools. Read along or jump ahead to the section that interests you the most.

Turns out if you’re working hard just to keep the data flowing, you won’t get much else done. Fivetran, dbt™ and Sigma change that.

A little over a year ago, I found myself feeling stuck in my role as a data engineer. I had majored in business in college and was looking to connect more with that side of things. I enjoyed my tasks as a data engineer but I wanted more flexibility and creativity. I wanted to be involved in business decisions rather than my tasks already being decided for me.

The software landscape at a modern financial services company is like a jigsaw puzzle, with many pieces that must fit together. For example: Software development can be more difficult in an environment that requires complex enterprise integrations. How do you create flexible, modern, and scalable applications that require technology integrations and data from dozens of sources?

Have you ever messed up the data structure within your objects and as a result came across irresolvable errors during run-time? If yes, you’re not alone, we have all been there as developers. When the deadline approaches and you have way too many modules to work on somehow these blunders end up becoming a rampant source of misery and confusion. This makes having Typesafe dictionaries and using them throughout your web development project essential.

React development is one of the most popular and highest-paid front-end development skills. And with its rising popularity, front-end development enthusiasts have flocked to learning and deploying unique development projects in React. However, if you're just a beginner and have created a project you wish to showcase in your portfolio, deploying it in a paid server is not among the best choices.

A Kubernetes preview environment is an isolated environment that allows developers to test their code at any time without worrying about how others may be affected. While implementations and use cases may vary, simulating a production environment as closely as possible is the main goal. Imagine you’re part of a team developing a complex API, and you’ve been tasked with adding a new endpoint that relies on features within the codebase currently being optimized by one of your team members.

Now that we have explored monitoring apis with Prometheus, let’s take a look at monitoring our APIs with Grafana. You may have noticed from the previous blog that Prometheus is awesome, but takes some time to fully flesh out and their dashboards aren’t easy to read or very eye-catching. Luckily for us, Grafana specializes in data visualization. We won’t even have to configure all our Prometheus queries, so let’s get started.