Operations | Monitoring | ITSM | DevOps | Cloud

In Part 1 of this series, we looked at the key observability data you should track in order to monitor the health and performance of your Red Hat OpenShift environment. Broadly speaking, these include cluster state data, resource usage metrics, and information about cluster activity such as control plane metrics and cluster events. In this post, we’ll cover how to access this information using tools and services that come with a standard OpenShift installation.

Kubeflow v1.0 was released on March 2, 2020 Kubeflow and there was much rejoicing. The banner announcement, “Cloud-Native ML for Everyone,” while clearly hyperbole, is evidenced by the streamlined command-line interface (CLI), informative and intuitive dashboard and comprehensive cloud provider documentation. Compounded with a best-in-class product suite supporting each phase in the machine learning (ML) lifecycle, Kubeflow stands unrivaled in the arena of ML standardization.

Google, the original developer of Kubernetes, also provides the veteran managed Kubernetes service, Google Kubernetes Engine (GKE). GKE is easy to set up and use, but can get complex for large deployments or when you need to support enterprise requirements like security and compliance. Read on to learn how to take your first steps with GKE, get important tips for daily operations and learn how to simplify enterprise deployments with Rancher.

MAAS is built to manage machines, including the operating systems on those machines. Enlistment and commissioning are features that make it easier to start managing a machine – as long as that machine has been configured to netboot. Enlistment enables users to simply connect a machine, configure the firmware properly, and power it on so that MAAS can find it and add it.

With the rapid growth of security threats to infrastructure, it’s more important than ever to proactively address vulnerabilities. As an open-source project, built on the trust of users and contributors, Netdata has security concerns at its core. Because we’re committed to code security and quality, we apply Agile principles throughout the software development process. A component of this includes regular static analysis.

What is Podman? Well, we will start by saying that Podman is a container engine developed by RedHat, and yes, if you thought about Docker when reading container engine, you are on the right track. Podman wants to be the alternative to the well-known container Docker engine, but you may wonder: what does RedHat offer through Podman? Why should I switch to Podman? Is Podman the replacement for Docker or just another competitor?

In September 2019, IBM released z15 and LinuxONE III, the most secure cloud environment in the market featuring pervasive encryption built-in at its core with Ubuntu. This offered a solid foundation to launch hardened security offerings for the mainframe across platforms such as MongoDB, Postgres, IDAA, IBM Cloud Private and the IBM Hyper Protect services family.

I recently joined Stackery from Puppet: a company that specializes in great automation software for the globe’s biggest enterprise IT operations teams. I had the privilege of learning from folks doing the best work of their life to automate the provisioning, configuration, and maintenance of infrastructure that enables teams of developers to move fast and make a difference for their business.

Today, Stackery is announcing enhanced security and continuous integration and delivery (CI/CD) capabilities that enable teams to automate delivery best practices from laptop to production. With additional audit capabilities, scoped IAM permissions, and secrets management for automated verification and deployment pipelines, Stackery helps teams scale serverless usage and accelerate modernization and innovation projects.