Systems | Development | Analytics | API | Testing

Five things to know about this topic: Just about every process used within a business generates some form of data. While some may see this information as useless, data analysis tools can turn it into a resource that helps your brand make better decisions in every aspect of its operations. Not all analytical tools are equal. However, the ones on this list can help you generate incredible insights that result in better decision-making.

Data teams and their business-side colleagues now expect—and need—more from their observability solutions than ever before. Modern data stacks create new challenges for performance, reliability, data quality, and, increasingly, cost. And the challenges faced by operations engineers are going to be different from those for data analysts, which are different from those people on the business side care about. That’s where DataOps observability comes in.

We have spoken in a previous blog post about documentation about how we believe that if you are building performance tests that support either Continuous Integration or Continuous Delivery then having to produce performance testing documentation before and after each test does not fit with this methodology.

Remember way back around 2016, when “IoT” was just entering the lexicon? The technology behind the “Internet of things” was starting to be used across industries. In the energy space, for example, companies used it to capture data being sent from tens of thousands of sensors from various equipment, like inverters, controllers, anemometers (wind speed detectors), cloud-watching cameras, and more.

At Moesif we are always looking for ways for our users to derive even more valuable insights from their data. We pride ourselves on the fact that there is something for everyone on the platform, whether it’s engineering, marketing, customer success, or even sales departments. Recently we added a new way to drill even further into your metrics: Custom Functions and Formulas!