With the holidays upon us around the world, some folks here at Sysdig decided to take a technological approach to holiday cooking. How, you ask? By adding a little PromQL to the mix. A home kitchen during the holidays can be a very frenetic place. There are often many, many dishes being prepared at the same time and cooked in sequence. Some are short and easy, others can take several hours. It’s inevitable that a dish will get missed, or a step forgotten.

In collaboration with the AWS team, we have just launched another AWS integration, the AWS IoT SiteWise plugin for Grafana. AWS IoT SiteWise is a managed service that helps users collect, store, organize, and monitor data from industrial equipment, across facilities, at scale.

The Internet of Things (or, IoT) is an umbrella term for multiple connected devices sharing real-time data, and IoT logging is an important part of this. Troubleshooting bug fixes, connection problems, and general malfunctions rely heavily on logs, making them an invaluable asset not only in designing systems but also in system maintenance. To maximize system potential, this plethora of generated data needs to be managed efficiently.

A Linux kernel for each developer team, which uses it to bring up target boards. Bespoke, built, issued, and maintained over years by the vendor. Teams that focus on building great apps, rather than figuring out hardware dependencies. Happy developers that bootstrap smart devices in no time. This is what highly productive embedded systems development should look like. Let’s unpack that vision.

Cybersecurity attacks on industrial IoT solutions can have detrimental consequences. This is the case because IoT devices record privacy-sensitive data and control production assets. Therefore, demonstrable trustworthiness is prerequisite to IoT adoption in industrial settings. Fortunately, IT security is a mature field. Experts have identified classes of threats devices may be subject to. Let’s discuss these threat patterns and mitigation strategies in the IIoT context.

“The King is dead, long live the King.” It might be my french roots speaking, but it seems that actual use cases are replacing King Edge, and it might be for the best. Warning; do not read this blog if you’re particularly sensitive about edge computing (and if you don’t know what this is about, read the “What’s the deal with edge computing?” blog first).

Kubeflow, the ML toolkit on K8s, now fits on your desktop and edge devices! 🚀 Kubeflow provides the cloud-native interface between Kubernetes and data science tools: libraries, frameworks, pipelines, and notebooks. > Read more about what is Kubeflow To make Kubeflow the standard cloud-native tool for MLOps within the AI landscape, the open-source community has accomplished the aggregation and integration of many projects on top of Kubernetes.