Whether you are using our Cloud Storage Management software to gain insights into your Azure storage environment, or are just trying to work out how to save costs within Azure, creating a lifecycle management policy is a great idea to help you save in your Azure storage costs.

ChartCenter is a free Helm chart central repository that was built to help the Helm community find immutable, secure, and reliable charts for publicly available Kubernetes apps. With ChartCenter, you have a single source of truth to proxy all public charts from one, always available location. Without ChartCenter, you need to add each Helm chart’s repository to the Helm client for every Kubernetes app you want to install and update.

Canonical today announced full enterprise support for Kubernetes 1.19 spanning from public cloud to the edge, covering Charmed Kubernetes, MicroK8s and kubeadm. “As with all releases, Canonical is committed to fast following so that users benefit from the latest features, lifecycle operations and enterprise support in line with the upstream. With Kubernetes 1.19, MicroK8s and Charmed Kubernetes also bring enhanced security and carrier grade features.

Ocean by Spot provides key functions that deliver a serverless infrastructure experience for containerized applications by taking care of auto scaling, right sizing and pricing optimization. These features enable users to focus on their applications while the infrastructure is automatically provisioned and managed by Ocean.

As the cloud-native ecosystem continues to evolve, many alternative solutions are popping-up, that challenges the status quo of application deployment methodologies. One of these solutions that is quickly gaining traction is Unikernels, which are executable images that can run natively on a hypervisor without the need for a separate operating system.

Logs in continuous delivery pipelines are often entirely ignored, right up until something goes wrong. We usually find ourselves wishing we’d put some thought into our logs, once we’re in the midst of trawling through thousands of lines. In order to try to prevent this, we can add DevOps metrics into our logs, which will provide us with greater observability, and give insight into anything going wrong in our pipelines.