When it comes to app development, low-code is the future. Many companies and organizations are already turning to low-code or no-code solutions for their business-related software needs. While low-code is changing the game when it comes to app development, is low-code really the way to go? And if low-code tools really are the right choice for your organization, how do you go about finding the right platform for your business goals? And what should you even be looking for in a low-code platform?

Many businesses need to build an API for their customers to use, but many businesses also struggle with making their API easy for customers to use. DreamFactory makes it easier for developers to design RESTful APIs. It builds on the best practices in web-based software development, allowing developers to design RESTful APIs without cumbersome hand-coding. RESTful API design is a critical part of developing APIs, so it’s important to know the best practices for RESTful API design and implementation.

API automation is leading the way for data-driven digital transformation. When developers are able to build modern applications for a variety of devices without having to manage server-side code and complexity, and other departments can tap into a well-designed API documentation system instead of a silo of cumbersome, unorganized code bases, your company will be well on its way to an API-first delivery model.

As Halloween night quickly approaches, there is only one question on every kid’s mind: how can I maximize my candy haul this year with the best possible candy? This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources.

Analysts and data scientists use SQL queries to pull data from the data storage underbelly of an enterprise. They mold the data, reshape it, and analyze it, so it can offer revenue-generating business insights to the company. But analytics is only as good as the material it works with. That is, if the underlying data is missing, compromised, incomplete, or wrong, so will the data analysis and inferences derived from it.

Google's Cloud Functions let developers run their code in production in a scalable way without worrying about the minutiae of server administration. In this article, Subomi shows walks us through building a real-world service using GCF.

Software testing was initially a manual activity, however, due to the importance of speedy delivery, the transition to automation testing is predictable. Unfortunately, this shift can become an overwhelming voyage, especially for startups without a dedicated QA team. Suppose you are a manual tester (or developer) seeking an automation solution to speed up your project.

Tired of spending hours on creating GA reports? Here’s how Google Analytics users can make the most out of automated reports.

In the last blog post, we discussed the need for both speed and quality for your API delivery and how APIOps can help achieve both. In this part of our blog post series, we’ll walk through what the API lifecycle looks like when following APIOps. We’re still following the best practice we’ve established in the industry over the years, but what you’re going to see is that the processes we follow at each step of the API lifecycle – and between each step – have changed.