As developers, it’s easy to get fixated on the mobile sphere. We’re now spending 4-5 hours a day browsing apps on our phone (that’s over 1,800 hours a year), which means a huge volume of demand is channelling into Android and iOS projects. But desktop apps are booming too.

Business Intelligence transforms raw data into actionable insights that support business decisions through reports, dashboards, and charts. You can use the blazer gem in Ruby on Rails to gather and display business metrics!

We surveyed 314 companies globally to discover the most important trends in business reporting. We talked about tools, metrics, KPIs, best practices, and more.

Data observability is the ability to monitor and understand the data that flows through an organization's systems. Organizations can monitor their data in real-time, detect anomalies, and take corrective action based on alerts. Organizations use data observability to collect, analyze, and visualize data from various sources to manage their system's behaviour across the data ecosystem.

Success for any company whether a large incumbent or an upstart disruptor is defined by its ability to continuously exploit opportunities in its current business model while exploring new possibilities from the emerging needs of its key stakeholders.

At k6, we get frequent requests to compare k6 vs. LoadRunner, and since I am an experienced user with LoadRunner (even certified), I will try to put both tools head to head. But comparing these tools is difficult as their components do not match 1:1. Each is a robust ecosystem with different parts, some doing multiple things that make straight comparisons more complicated. And on top of that, we constantly get new features that match up with many other components.

Good data hygiene means data is correct and easily used to draw insight. This definition then begs the question: How do you achieve it?

In this blog post we are going to look at some of the uncommon performance tests. By this we mean those scenarios that are not what we believe are commonly executed but those that are run periodically at best. These uncommon scenarios should not necessarily take priority over the more common performance scenarios. They do add value by stressing parts of your application under test that may be missed by the more conventional tests.

Retrieving data from a source, ensuring it suits business requirements, and moving that data into a target data source is critical to any data strategy. Low-code tools can help create robust and flexible ETL processes that automate your data loading.

System integration is the process of combining different systems and software so that they can work together. It is also the process by which a system or application can interact with other systems, applications, or devices. Because each integration is unique, it is crucial to ensure that the tool you use to facilitate that integration is flexible enough to cover many cases.