Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Unexpected downtime can disrupt your workflows in an instant. Virtual machines (VMs) power critical workloads, and when one fails, every second counts. The time needed for a full VM recovery depends on multiple factors, such as the size of virtual disks, storage performance, network speed and the recovery method.

Email Security Email Security Stop modern email-borne attacks with real-time AI defense. Please wait, this may take a few seconds... Email threat prevention is a comprehensive security technique that identifies, blocks and neutralizes email threats such as phishing, malware, and business email compromise (BEC) before they reach a user’s inbox. It combines multiple layers of defense, including AI-driven analysis, URL scanning, attachment sandboxing and authentication protocols like DMARC.

Kubernetes backup sounds straightforward until you look closely at what a real application includes. A production workload usually spans Kubernetes resources, cluster configuration, persistent volumes, secrets, service accounts, network policies, and external dependencies such as cloud databases or object storage. Protecting one of those layers helps. Protecting all of them in a coordinated way is what makes recovery practical.

When you have more than one ESXi host in your environment, you may need to migrate virtual machines from one host to another. The reason can be rational resource usage or insufficient computing resources on one of the hosts. Learn about the methods available to you to migrate virtual machines in VMware vSphere with and without vCenter.

The aim of DevOps automation is clear: reduce human error, shorten feedback loops, make repetitive tasks more efficient, and enforce security along with recovery by default. By implementing automation the need for human intervention is reduced – tackling the most common cause of data loss. Table of contents: hide Automation in DevOps Important aspects for automation tools AI in DevOps automation.

Running virtual machines and containers side by side typically means managing two separate infrastructure stacks with different tools and workflows. OpenShift Virtualization Engine solves this by letting VMs run as native Kubernetes resources within Red Hat OpenShift. You get one platform, one interface, and consistent policies across your entire environment.

The shift to distributed work has permanently changed how managed service providers (MSPs) operate. Endpoints now span offices, homes, airports and everything in between, and each one requires consistent protection, visibility and management. Attackers have also accelerated their use of automation and AI, increasing pressure on technicians already managing growing workloads. Traditional, manual service models can no longer keep up.

VMware vCenter Server, the centralized management point in vSphere, is used for managing ESXi hosts, clusters, VMs, and other components in your virtualized data center. This blog post addresses the 503 Service Unavailable that you may get in vSphere Client when you try to connect to vCenter. Read to learn about the potential causes of this error and how to fix it. NAKIVO for VMware vSphere Backup Complete data protection for VMware vSphere VMs and instant recovery options.

Pharmaceutical regulation relies on three core pillars: Maximum system availability, trustworthy data and rapid recoverability. With the right strategy, manufacturers can uphold them all. Operational technology (OT) systems such as SCADA, manufacturing execution systems, cleanroom controls, environmental monitors and laboratory automation are essential for maintaining validated, compliant and uninterrupted production. When those systems fail, downtime can result in enormous financial costs.

DevOps engineers running OpenShift know the platform well. They know how to build on it, scale on it, and operate it under pressure. What they often hit unexpectedly is the question of backup and recovery, especially once OpenShift Virtualization enters the picture. Most of the tooling that exists today wasn’t built with Kubernetes in mind. It was built for something else and extended toward it.