Operations | Monitoring | ITSM | DevOps | Cloud

In the last decade or so AI has gone from a buzzword to table stakes. Data reveals that organizations that have adopted AI into their service management strategy have begun to reap the benefits. It is therefore imperative for businesses to invest in Intelligent Service Management to not just empower their agents but also keep up with rising employee expectations.

Few computing concepts are as ubiquitous as identity and access management. There isn’t a single day that goes by without us being asked for credentials, passwords or pin codes. Yet very few know the origins and the evolution of the technologies behind them. This is the first of two blog posts where we will look at the history of open-source identity management. We will cover the main open-source protocols and standards that shaped it, from its origins to the modern days.

In a world where 1.145 trillion MB of data is generated every day, the art of database management has become more important than ever. I use the word “art” because it captures a sense of the wizardry needed to effectively manage data. After all, our world is dominated by mobile devices and hybrid IT environments. Database migrations happen regularly, and data resides both on-premises and in the cloud. All these things have brought a new complexity to database management.

“We need to be an AI-enabled company.” Replace the “AI” with any technology from history and this comment becomes a common refrain across businesses lured by the promises of new technology and fueled by FOMO (a fear of missing out). As enterprise strategists and former CXOs who have lived through many “technology is the solution, now what was the problem?” conversations, we talk extensively about this issue.

The Internet of Things adoption is growing faster than ever before. As connected devices become more affordable, they find their place in many aspects of our lives. Users worldwide can benefit from a large ecosystem of IoT solutions. However, this rapid growth comes at a cost. Different IoT edge devices have different interfaces, speak different languages and many are not supported soon after manufacturing. Over time, this presents challenges not only to usability, but also to security and privacy.

Is it possible to use just one tool to test everything? Although it may sound like a developer’s daydream, it is almost possible with Cypress, a JavaScript frontend testing framework. Cypress is built specifically for JavaScript frontend developers, and they can use it to start writing tests quickly without needing to add third-party dependencies or packages. This is a benefit missing from other tools like Selenium. In this tutorial, I will guide you through using Cypress to test an API.