In the software testing world, there are two types of testing techniques — manual and automated. Both aim to execute the test case and then compare the actual outcome with the expected result. Manual testing is a testing technique that requires significant human effort to ensure a software solution does everything that it is supposed to do. While great for specific test cases, excessive use of manual testing proved to be inefficient over time.

Although there’s no denying that manual testing will always stay relevant, there’s an increasing demand for automated testing. It brings on many benefits for companies and teams: time efficiency, extensive coverage. But how to best develop an automated testing strategy? In this article, we’ll show you some best practices in all 7 stages of your test automation strategy to maximize your experiences.

Last week was kind of crazy. Apple announced the public release of iOS14 on the day before triggering a major Twitter-meltdown among developers. Thanks to the quick response of our team, just under 20 hours later we were able to release the new Xcode 12 stack on Bitrise.

In this video, we are going to take a look at what memory bloat is, what causes it, and how you can use Scout to eliminate it from your applications. Memory related performance issues have the potential to bring your entire application down, and yet, most APMs completely ignore this fact and fail to provide any useful way of monitoring memory usage at all.

Some of the most powerful results come from combining complementary superpowers, and the “dynamic duo” of Apache Hive LLAP and Apache Impala, both included in Cloudera Data Warehouse, is further evidence of this. Both Impala and Hive can operate at an unprecedented and massive scale, with many petabytes of data. Both are 100% Open source, so you can avoid vendor lock-in while you use your favorite BI tools, and benefit from community-driven innovation.

Companies use their data to accelerate business growth and overtake their competitors. To achieve this, they invest a lot in their ETL (extract-transform-load) operations, which take raw data and transform it into actionable information. It’s no wonder, then, that ETL testing is a crucial part of a well-functioning ETL process, since the ETL process generates mission-critical data.

Before Databox, Arxus struggled with accessing data & creating clear visuals. Now, they’re able to streamline their data with ease, save time and spot trends 80% faster.

You have an API program that developers are adopting; Customers have signed up, but some haven’t integrated yet; Of those that have integrated, a few got stuck early on and went silent; Ideally, you’d like to help both sets of customers move through the developer funnel. Moesif can act a catalyst for your developers, proactively informing them of integration issues before frustration sets in and they give up. Ensure they have a good experience – unblock your customers ASAP.

There is no debate that the advent of OAuth 2.0 made the lives of developers everywhere better. OAuth 2.0 makes adding an authentication system to your app or web page became considerably easy. Many different service providers support the OAuth 2.0 spec and, in turn, so does DreamFactory. Below are the supported OAuth services DreamFactory which are supported natively.

What a pivotal year it’s been for the integration platform as a service (iPaaS) market! Today, improving customer centricity, driving new innovative applications and systems to market, or optimizing supply chains to meet new digital demands have become so critical to many organizations’ growth.