Systems | Development | Analytics | API | Testing

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What is iPaaS? Definition and Benefits

These days organizations commonly rely upon dozens of databases, applications, and third-party services for powering critical business infrastructure such as web and mobile applications, business analytics, and customer outreach initiatives. Examples of such indispensable technologies include Microsoft SQL Server, Salesforce, and Intercom.

Accelerate Your End-to-End Data Pipelines With Keboola Scaffolds

Automation brings incredible value to data teams and hyper-growing companies. It removes hours of sweating over repetitive and mundane tasks, which frees up time for data engineers, analysts, and scientists to get on with more engaging and revenue-generating work. Now, imagine that you can extend the benefits of automation beyond the selected repetitive tasks… to the entire data pipeline.

Why Your Performance Test Execution Strategy Is Important

When we consider performance testing most of the focus of the approach is placed on the script creation activity and making sure that requirements are covered, these are very important parts of your performance testing approach but so is the Test Execution. The frequency at which you run your tests is important and can save you time and effort in your script maintenance. A good performance testing execution strategy gives you the maximum amount of benefit it can by finding performance issues early.

A/B testing with Countly Product Analytics Platform

A/B Testing plugin lets you experiment with different variants of your remote configuration variables to find the best performing variant based on your goals. You can then roll-out the winning variant to all your users. You can take advantage of all your default/custom user properties and user actions (such as sessions, views, custom events etc.) while building the target audience for your experiment.

The Future is Here: How AI is Solving UI Test Automation Problems Today

Artificial Intelligence (AI) isn't just a buzzword - businesses across all industries are leveraging the technology today to solve a wide range of problems. Even test automation tools are benefiting from AI, from AI-powered visual recognition and intelligent test recommendations, to risk profiling and bug hunting. At every step in the QA cycle, we see AI infusing itself to accelerate test creation, maintenance and execution.