Regression testing and unit testing are two different types of testing, yet many of TestQuality users use them interchangeably. Although we already went through Regression Testing Challenges and Best Practices in a previous post, it's important to distinguish between the similarities and differences between regression testing and unit testing. All unit tests are, in essence, regression tests.

Testing is the bottleneck of devops. 80% of testing is done manually. This is time-consuming, error-prone, tedious, and expensive. It's a hundred times more expensive to fix an error caught in production versus an error caught. Dev teams are being pushed to release code faster, release new features faster, and beat their competitors in every possible way. Automation is a cheaper and more accurate way to test. It lets everyone focus on most important goals.

The world is facing the highest inflation rate in ages, and Codemagic is reacting to it by… lowering its prices. These are tough times for everybody, and because we’ve benefited from some recent changes, we wanted to pass on these benefits to all developers so that you have one less thing to worry about.

In this post we are going to look at performance testing on large scale programmes. A few the posts we write define techniques and approaches based on a single application under test but sometimes you are faced with the prospect of performance testing: Now, especially in the case of migration of services, performance is key, and you cannot afford to see a degradation in performance as the business users will have already become accustomed to the software and how it performs.

JavaScript (JS) is the most popular programming language and is ranked as one of the TOP 5 programming languages in the world. TypeScript is JavaScript with type syntax and is a strongly typed programming language based on JS that provides better tooling at any size. But, internally, it’s again JavaScript. Today almost everyone uses JavaScript for front-end web development, and frameworks such as React, Vue, and Angular made JavaScript even more popular.

Our six new models are aggregated on the most common granularities for ad-related metrics, so marketing analysts can hit the ground running.

This is a guest post with exclusive content by Bill Inmon. Bill Inmon “is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, first magazine column, held the first conference, and was the first to offer classes in data warehousing.” — Wikipedia. Our critical points: Data warehouses are the whack-a-mole of technology.

Want to learn how to harness the power of Google Analytics and properly measure your SEO performance? 50+ SEOs share their best hacks.

As a global leader in technology research, Gartner supports enterprise organizations, non-profits, and government agencies by sharing information and in-depth analysis of emerging technological trends, tools, and products. With the continued growth of big data over the past decade, Gartner has been especially invested in helping data and analytics (D&A) leaders make the right decisions for managing and generating value from data within their organizations.

Apache HBase has long been the database of choice for business-critical applications across industries. This is primarily because HBase provides unmatched scale, performance, and fault-tolerance that few other databases can come close to. Think petabytes of data spread across trillions of rows, ready for consumption in real-time.