AWS EKS has been supporting Linux containers for a while. However, without Windows container support some of the hybrid applications were not supported end to end. In addition, with the version of 1.14 of Kubernetes, AWS introduced Windows container support and with this feature, you would be able to run Linux and Windows containers in the same Kubernetes cluster namespaces thus enabling your hybrid applications to work on Kubernetes.

If you’re an advanced Kubernetes user, you’ll likely want to configure parameters for specific use cases. While with Kublr, the most flexible Kubernetes platform on the market, literally everything is customizable (except, of course, if you want to replace Kubernetes with a different container orchestrator), a lot of the customization in the previous versions was still done via command line.

Andreessen Horowitz recently published a blog about the Heavy Cloud Costs and Scaling Challenges of The New Business of AI, in which they describe how AI companies are facing cloud cost challenges, which are impacting their margins. As someone who used to manage a fully home-grown on-site distributed speech recognition platform for an industry leader, I know firsthand that ML can be expensive and challenging to maintain. However, it doesn’t have to be.

When I read Greg Ferro’s infamous “Why I hate ITIL so much” blog back in 2015, I have to admit that I agreed with many (albeit not all) of what he said. Maybe it’s the issues that I have with authority in general, or maybe it’s my many years of working within the constraints of ITIL and ITSM in operating systems and services – but I truly believed (and still do) that well-educated, experience and consensus-based pragmatism is what actually gets things done.

The first means to collect security-relevant information at Cloud SIEM Enterprise (CSE) was our Network Sensor. It was built to analyze network traffic and provide visibility beyond traditional SIEM's down to the network-level. Beyond organizing packets into flows, the sensor supports more advanced features such as decoding of common protocols, file carving, SSL certificate validation, OS fingerprinting, clustered deployment and more.

The experts from Azure Functions team has yet again joined us for the monthly webcast. Given the unprecedented time, this webcast happened a bit unusual where the folks joined from their home rather from Channel 9 studio and which made this webcast even more unique and exciting. In this session, Jeff Hollan, Eduardo and Alex Karcher have joined to give us the picture of the latest happenings in the Azure Functions space.

Kubernetes 1.18 is about to be released! After the small release that was 1.17, 1.18 comes strong and packed with novelties. Where do we begin? There are new features, like the OIDC discovery for the API server and the increased support for Windows nodes, that will have a big impact on the community. We are also happy to see how some features that have been on Alpha state for too long are now being reconsidered and prepared for the spotlight, like Ingress or the API Server Network Proxy.

VMware vSphere is a server virtualization platform that enables organizations to provision and manage virtual machines at scale. With its comprehensive suite of products, vSphere helps companies manage datacenter resources, migrate workloads without downtime, run applications with high availability, and more. To keep tabs on dynamic vSphere environments and effectively address resource bottlenecks, you need deep visibility across every part of your infrastructure.