The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Over the past year, we’ve talked to people building and operating the next generation of applications. Across the map, we saw cloud-native applications built upon an ever-increasing number of public cloud infrastructure APIs, tools, and managed services. Modern infrastructure lets anyone create automation, not just a few gatekeepers. This shift is powerful, but comes at the cost of complexity, which we built Relay to manage.
In my seven months at Puppet, I continue to be amazed at the opportunity we have to drive value in some of the biggest companies and institutions in the world. Automation is no longer a nice to have -- it’s a must. As more companies further their cloud strategies to include cloud-native infrastructures, the complexity increases, making automation indispensable.
Microsoft Azure is one of the fastest-growing cloud platforms in the world, offering a wide range of products for deployment, testing, and cloud storage. Datadog is committed to maintaining an extensible monitoring solution for Azure’s growing ecosystem that doesn’t require lots of manual configuration. That’s why we are excited to announce the following enhancements to Datadog’s Azure integration.
AWS Network Firewall is a firewall for Amazon Virtual Private Cloud (VPC) with pluggable support for third-party intrusion detection systems like Snort and Suricata. Customers use AWS Network Firewall to guard against unwanted traffic to and from their VPCs.
Our simple ROS 2 talker and listener setup runs well on a single Kubernetes node, now let’s distribute it out across multiple computers. This article builds upon our simple ROS 2 talker / listener setup by running it on multiple K8s nodes. At the completion of this setup expect to have a ROS2 Kubernetes cluster running MicroK8s on three different machines. Applying a single configuration file distributes the ROS 2 workload across the machines.
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.
