Custom code to connect with data APIs is quickly becoming a thing of the past.

Only a good user interface is capable of delivering a good user experience. And people love user-friendly experiences — it’s a no-brainer. Android developers and testers perform mobile tests to deliver apps that drive a high user retention rate through a great user interface. For applications that have made a place in the market and have some good loyal users, it is essential that they keep their UI upbeat, always. In such scenarios, keeping a check on the UI on every build is imperative.

Facebook recently announced that it will effectively discontinue Facebook Analytics on June 30, 2021. The announcement was not particularly informative and was limited to pointing out ways of retaining the tool’s users by means of diverting business to other features that Facebook already offers. However, the reasons behind this decision were not addressed by Facebook and it brings up the question of what this means for the industry.

Performance testing is a form of software testing that focuses on how a system running the system performs under a particular load. This is not about finding software bugs or defects. Different performance testing types measures according to benchmarks and standards. Performance testing gives developers the diagnostic information they need to eliminate bottlenecks.

With its low-code and no-code features, Xplenty brings the power of ETL and data integration to the masses. But even with Xplenty’s tremendously user-friendly interface, it’s possible that the transformations you design don’t work exactly as you intended—which means you need to debug and resolve the issue fast. Fortunately, there are multiple debugging options in Xplenty for exactly this reason.

In Kong Mesh 1.2, we added a number of new features to help enterprises accelerate their service mesh adoption. One of the major new features was native Open Policy Agent (OPA) support within the product. In the demo image above, you can see a number actions taking place across a simple web application. These “actions” ultimately are various GET, POST, and DELETE methods (API calls) across various tiers of our microservice application.

While a vital component of any app's stack is the database, managing a database is challenging and hard work. Not only do you need to set up, maintain, scale, and patch databases, but also you need to create strong backup policies, ensure sharding and replications. Long story short, managing a database is time-consuming and requires a dedicated and skilled team, which is why a major trend for managing databases is DBaaS, or Database as a Service.

On the 14th of January 2021, Elasticsearch B.V. announced that future releases of Elasticsearch and Kibana would be released under a dual license SSPL (Server Side Public License). As a result of this change it is evident that the components that make up Elasticsearch and Kibana in version 7.11 (and onwards) of the ELK Stack will no longer be considered as open source based upon the Open Source Initiative's requirements for licensing.

The success of data-driven initiatives for enterprise organizations depends largely on the quality of data available for analysis. This axiom can be summarized simply as garbage in, garbage out: low-quality data that is inaccurate, inconsistent, or incomplete often results in low-validity data analytics that can lead to poor business decision-making.

The faster you can extract, transform, and load data from MongoDB, the better it is for your business processes and business intelligence systems. The problem is, most ETL solutions struggle to manage MongoDB’s dynamic schemas, NoSQL support, and JSON data types. That’s not the case with Xplenty – which was optimized for easy, no-fuss MongoDB integrations with ease: no custom code, no delays, no confusion.