Operations | Monitoring | ITSM | DevOps | Cloud

The state of industries has come a long way since the Industrial Revolution with new technologies such as smart devices, the internet, and the cloud. The Industrial Internet of Things (IIoT) is a network of industrial components that share and process data to gain insights. But as IIoT involves sensitive data and life-critical operations, this also comes with various IIoT cloud security challenges. Therefore, it is important to strengthen security.

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.

Time series databases allow you to store and query metrics efficiently. For example, if you want to forecast load on your servers, or identify intermittent faults with your production services, time series databases can help. Besides infrastructure monitoring, time series databases have been invaluable in finance, IoT applications, manufacturing, and more. Many time series databases, including VictoriaMetrics, are open source.

Following the Icinga Notifications beta announcement, we already had a more general post on how to get started and one going into the details of schedules. This week’s blog post is a follow up in this series and will describe incidents, escalations, and event rules in Icinga Notifications in more detail. In case you haven’t seen the first two referenced blog posts, you might want to have a look at them first, otherwise, you could miss out on the big picture.