Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Governments and regulated enterprises are pulling their most sensitive workloads out of infrastructure they can’t fully control. That’s the core driver behind sovereign cloud: cloud infrastructure where data residency, jurisdictional control, and supply-chain transparency are architectural requirements, not optional features. With GAIA-X moving into implementation and vendors like Red Hat launching sovereign support models for EU member states, adoption is accelerating fast.

Vector databases are everywhere now. If you are building anything with AI—recommendation engines, semantic search, RAG pipelines—you are probably running a vector database. And if you are running it in production, you are running Milvus on Kubernetes. Here is the problem. Your vector database holds millions of embeddings. Maybe hundreds of millions. Each one represents expensive processing—API calls to OpenAI, inference from your own models, hours of batch jobs.

Digital sovereignty is not a talking point anymore. It is a real technical requirement. Governments, telcos, and regulated enterprises are building sovereign clouds on OpenStack to keep data under their jurisdiction. But what about the backups? If your sovereign cloud data protection solution uses a proprietary format, you have traded one lock-in for another.

Containerization vs virtualization is a decision that impacts your infrastructure’s performance, scalability, and costs. Both technologies isolate applications and optimize resources, but they work differently. Virtualization creates full virtual machines with separate operating systems; containerization packages applications with only the dependencies they need.

Your disaster recovery plan might look bulletproof on paper, but there’s only one way to know if it works: Test it. Failover testing validates whether your backup systems can actually handle the load when production goes down. Most IT teams find gaps during their first test, like misconfigured settings, outdated documentation, or dependencies that nobody remembered to document.

Your Azure SQL database contains business-critical data that drives operations, analytics, and customer experiences. Losing this data, even temporarily, can impede revenue, damage customer relationships, and create compliance problems. Learning how to back up an Azure SQL database is essential for business continuity.

Broadcom’s VMware acquisition brought massive pricing changes that caught most IT departments off guard. The company eliminated perpetual licenses, forcing everyone into subscription models while implementing steep VMware license cost increases and new minimum core requirements. These aren’t minor adjustments: Broadcom restructured the entire VMware license pricing model.

Kubernetes workloads comprise more than just container images—they encapsulate state, storage dependencies, service endpoints, and intricate metadata. A naive “lift and shift” approach that moves persistent data, manifest files, and images overlooks the crucial platform-specific configurations required for true application fidelity.

Your Oracle database contains business-critical data that powers daily operations, customer transactions, and strategic decisions. Hardware failures, human errors, and ransomware attacks can destroy this data in seconds, stopping operations and costing you millions in recovery expenses and lost revenue. A proper Oracle database backup strategy determines whether your organization recovers quickly or faces extended downtime.