How annoying is it when you get a telemarketing call from a random phone number? Even if you block it, it won’t make a difference because the next one will be from a brand new number. Cyber attackers employ the same dirty tricks. Using domain generated algorithms (DGAs), malware creators change the source of their command and control infrastructure, evading detection and frustrating security analysts trying to block their activity.

Most IT and business leaders know that despite the economic and human disruption of the COVID-19 pandemic, digital transformation will ultimately speed up, not slow down. The immediate challenges of the pandemic have led companies to find innovative ways to get things done, relying on data-driven decisions and technologies.

If you follow our very own @HLENKE, you might have seen his recent tweet. Availability and responsiveness are key topics for every SaaS platform. They also happen to be multi-level, complex topics that often span different technology stacks and can be tackled with a variety of approaches. Hannes' tweet actually gives us the perfect segue into a blog post about how our engineering team currently monitors Checkly.

Information Technology (IT), like many other industries, is tapping into the latest advancements in Machine Learning (ML) and Artificial Intelligence (AI) to solve a decades-old problem in the IT management world. History can teach us many things, and by diving into years of accumulated IT data, we can find meaningful insights and use them to guide the future.

One of the benefits of Serverless architectures is the possibility of scaling applications without worrying about load balancers and clusters of servers. While services like AWS Lambda hold their promises on this area, there are usually misconceptions about how they work. It is common for developers to assume that Lambda functions can scale infinitely, at any speed, in any circumstances. Reality is quite different from that.