Operations | Monitoring | ITSM | DevOps | Cloud

Autoscaling in cloud computing is the ability of a system to adjust its resources in response to changes in demand automatically. This guarantees that applications always have the resources they need to perform optimally, even during periods of high traffic. Autoscaling eliminates manual intervention, allowing your dev team time to focus on your product. All major cloud providers like AWS, Azure, and Google Cloud Platform offer robust autoscaling solutions with many features and capabilities.

If The Notorious BIG – the artist behind the iconic song "Mo Money Mo Problems" – had been an IT operations engineer, he might instead have labeled his hit "Mo Clouds Mo Problems." Why? Because the more clouds you have to manage and monitor, the more problems you're likely to run into.

Good news, our partners over at GripMatix have been hard at work on a new a data source for Citrix Virtual Apps and Desktops and Citrix DaaS for SquaredUp, specifically to allow you to test that you can log on/off to virtual apps and desktops with in depth synthetic transactions.

Tracealyzer is a popular tool for visualizing and analyzing the execution of real-time systems, but its price tag can be a barrier for some developers. This guide explores powerful open-source alternatives that provide similar functionality for free, helping you choose the right tool for your embedded systems projects.

Feature flags are crucial in modern software development, allowing teams to safely deploy and test new features. However, the absence of standardization has resulted in fragmentation and vendor lock-in. OpenFeature addresses this by offering an open specification for feature flagging, set to transform how developers manage and implement feature flags across various projects.