Okay, I admit, the title is a little click-batey, but it does hold some truth! I spent the holidays up in the mountains, and if you live in the northern hemisphere like me, you know that means that I spent the holidays either celebrating or cursing the snow. When I was a kid, during this time of year we would always do an art project making snowflakes. We would bust out the scissors, glue, paper, string, and glitter, and go to work.
More than a decade into the Internet of Things (IoT) era, the immense potential of IoT is becoming real. We’re moving from proof of concepts and pilots to projects at scale. What’s become increasingly clear is the vast complexity of deploying IoT solutions at scale and the necessity to do so to become a data-driven business.
In a perfect world CIOs, CTOs, devs and QA teams would be perfectly aligned. Software would always function the way it was intended, security breaches would be a thing of the past and the movie Top Gun 2 would stop being delayed. Unfortunately, the world is imperfect, but there is a silver lining. Today’s CIOs understand the importance of quality, speed and the value of software testing.
As you probably know, WordPress is the most popular and highly efficient content management system that is used to build and host websites all over the world. Its efficiency is precisely what made it so widely recognized among the tech world, and it seems like it will become even more desired in years to come.
2021 was another great year for WSO2. Although it was business as usual in the new norm, the results were exceptional. The company acquired 145 new customers and achieved revenue growth of 31% YoY. We started our journey towards radically simplifying the creation of digital experiences for our customers by introducing new cloud platforms.
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2021 was a revolutionary year and the global workforce continued working in a hybrid fashion. For the QA industry, concepts like Robotic Process Automation and AI/ML became more and more advanced. New versions of both Open-Source and Commercial tools continued to flourish, which made DevOps more accessible and test automation more user-friendly. In addition, testers across the globe actively participated in many online events and conferences in order to improve their knowledge.
Recently there has been a lot of excitement around the idea of a stand-alone metrics layer in the modern data stack. Traditionally, metrics have been defined in the BI or analytics layer where various dashboards are used to look at business metrics like Revenue, Sales Pipeline, numbers of Claims, or User Activity. Given that most organizations end up with multiple BI/Analytics tools, the idea has a lot of merits.
