Ever since UK regulator Ofcom announced its market study into the cloud industry in 2022, there has been cautious optimism about whether this could be a genuine moment of truth for the hyperscalers. On 5 April 2023, we got our answer. In its interim report, Ofcom did not hold back in its criticism of the dominance that the hyperscalers, especially AWS and Microsoft, hold over the industry and the limits and even “harm” this creates for customers.

In recent discussions about cloud-based GPU workloads, I was struck by these two recurring challenges: As the Head of Customer Success for a platform that confronts both of these problems, I wanted to take a moment to talk about their origin, what teams can do to mitigate, and finish up with a brief look at how Cycle might help.

Komodor is the only unified, dev-first Kubernetes Platform, designed to enable Kubernetes across on-prem and cloud-native environments through a single pane of glass. Komodor’s platform empowers developers to confidently operate and troubleshoot their K8s applications while allowing infrastructure teams to maintain governance and optimize resources.

Logging in Kubernetes can help you track the health of your cluster and its applications. Logs can be used to identify and debug any issues that occur. Logging can also be used to gain insights into application and system performance. Moreover, collecting and analyzing application and cluster logs can help identify bottlenecks and optimize your deployment for better performance.

Following the release of upstream Kubernetes on 11th of April, Canonical Kubernetes 1.27 is generally available in the form of MicroK8s, with Charmed Kubernetes expected to follow shortly. We consistently follow the upstream release cadence to provide our users and customers with the latest improvements and fixes, together with security maintenance and enterprise support for Kubernetes on Ubuntu.

Canonical is proud to announce that Charmed Kubeflow is now available as a software appliance on the Amazon Web Services (AWS) marketplace. With the appliance, users can now launch and manage their machine learning workloads hassle-free using Charmed Kubeflow on AWS. This reduces deployment time and eases operations, providing an easy-to-install MLOps toolkit on the public cloud.

Like most Taylor Swift fans, I was disappointed in the Ticketmaster crash during the presale for her current tour. The preorder fiasco reminds me of bottlenecks that all enterprises and organizations encounter on their digital transformation journey while they strive to balance the delivery of stable products with rapid application development to drive innovation and meet evolving customer needs. At some point, their infrastructure will be calling out, “It’s me! Hey! I’m the problem!