Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Modern platforms demand modern protection. As organizations adopt Kubernetes, OpenShift, and hybrid cloud environments, legacy backup tools—designed for static, VM-only systems—fall short. Today’s applications span containers, VMs, and dynamic cloud-native services. Protecting OpenShift Virtualization requires more than basic snapshots or namespace-level restores—it requires precision.

You’ve made the leap. Kubernetes is up and running. You’ve reduced your hypervisor footprint, containerized your workloads, and unlocked new levels of agility. But now the Day 1 operations are behind you—the real challenge surfaces: protecting Kubernetes. How do you protect this dynamic, fast-moving environment without slowing down your team, racking up hidden costs, or duct-taping together a fragile backup system?

Spectro Cloud Palette is an enterprise-grade Kubernetes management platform that simplifies the deployment and lifecycle management of clusters across data center, cloud, and edge environments. Designed around a declarative model, Spectro Cloud Palette enables users to define full-stack cluster profiles—including the operating system, Kubernetes version, and curated integrations—all governed by policy.

Kubernetes environments move fast — and when something breaks, it can break fast. If you’re a platform engineer managing stateful apps or a DevOps lead keeping critical workloads alive, you’ve likely felt the sting of a storage misstep. One wrong file deletion or a corrupted directory, and suddenly you’re restoring entire volumes just to recover a few megabytes.

Kubernetes has become the foundation for modern applications—but with great flexibility comes greater complexity and risk. Whether it’s an accidental misconfiguration, a failed update, or a cluster-wide outage, disruptions happen fast—and when they do, they impact both your containers and the virtual machines (VMs) running alongside them. In these high-stakes moments, your recovery plan is what makes the difference between a brief hiccup and a full-blown disaster.

Spring has just begun at most of Catalogic’s locations around the world, and outside plants are just beginning to sprout. But the CloudCasa team has been busy through the winter growing a bumper crop of new features and, to stretch the metaphor maybe a bit too much, now we’re ready to harvest them! We think you’ll be impressed with the new additions to CloudCasa in this release.

Kubernetes has evolved into the industry standard for orchestrating containerized applications. In this article, we break down the architecture of a Kubernetes cluster using practical examples, and code snippets. Whether you’re a beginner or an experienced engineer, you’ll gain clarity on the roles of control plane (historically “master”) and worker nodes, the nuances of multi-control-plane deployments, and updated OpenShift configurations.

Kubernetes has revolutionized how we deploy and manage applications at scale. One of its key components is the way it handles storage – especially when it comes to persistent storage for stateful applications. In this article, we will dive into converting a Persistent Volume Claim (PVC) to a CSI-backed Persistent Volume (PV) and explore various Container Storage Interface (CSI) drivers available for Kubernetes, including AWS EBS, Azure, GlusterFS, and others.

As the Kubernetes ecosystem grows and evolves, the need for robust data protection and streamlined management in hybrid and edge environments has never been greater. Microsoft’s Azure Local platform has become a critical solution for deploying and managing Kubernetes, and in particular Azure Kubernetes Service (AKS), in these environments.

As the Kubernetes landscape continues to evolve, there is often the need to adapt to newer, more robust distributions. SUSE has announced the end of life of RKE (Rancher Kubernetes Engine) in favor of RKE2, a Kubernetes distribution designed with enhanced security, resilience, and scalability. For organizations running workloads on RKE, this shift marks an important milestone—but it also raises questions about how to migrate workloads safely and efficiently.