Canonical Announces Support for Kubernetes 1.17

Canonical announces full enterprise support for Kubernetes 1.17, with support covering Charmed Kubernetes, MicroK8s and Kubeadm. MicroK8s will be updated with Kubernetes 1.17 enabling users access to the latest upstream release with a single-line command in under 60 seconds. MicroK8s now brings Machine Learning deployments in seconds with the Kubeflow add-on. MetalLB load balancer add-on […]

What is Kata Containers and why should I care?

Kata Containers can significantly improve the security and isolation of your container workloads. It combines the benefits of using a hypervisor, such as enhanced security, and container orchestration capabilities provided by Kubernetes. Together with Eric Erns from Intel, we have recently performed a webinar in which we presented the benefits of using Kata Containers in […]

Avoiding dropped connections in nginx containers with “STOPSIGNAL SIGQUIT”

nginx is a very popular web server. It may have just become the most popular web server – Netcraft’s October survey found nginx had 33% market share. This may be thanks to growth in Kubernetes adoption (most Kubernetes installations use nginx as the default ingress controller). Unsurprisingly, its use within Kubernetes configurations is just as […]

Canonical collaborates with NVIDIA to accelerate enterprise AI adoption in multi-cloud environments and at the edge

Enterprises currently face the challenge of how to adopt and integrate AI and ML into their operations effectively, at scale and with minimum complexity. In tandem, today’s AI workloads have become increasingly advanced and the compute power required to support them has exponentially increased.  Canonical and NVIDIA have collaborated to help enterprises accelerate their adoption […]

NVIDIA GPU Operator – Simplifying AI/ML Deployments on the Canonical Platform

Leveraging Kubernetes for AI deployments is becoming increasingly popular. Chances are if your business is involved in AI/ML with Kubernetes you are using tools like Kubeflow to reduce complexity, costs and deployment time. Or, you may be missing out! With AI/ML being the tech topics of the world, GPUs play a critical role in the […]

NVIDIA GPU Operator – Simplifying AI/ML Deployments on the Canonical Platform

Leveraging Kubernetes for AI deployments is becoming increasingly popular. Chances are if your business is involved in AI/ML with Kubernetes you are using tools like Kubeflow to reduce complexity, costs and deployment time. Or, you may be missing out! With AI/ML being the tech topics of the world, GPUs play a critical role in the […]