Operations | Monitoring | ITSM | DevOps | Cloud

Today, managing a data center requires striking a balance between cost, security, and performance. Long-term costs are a different matter, even though upfront capital expenditures (CapEx) like real estate and hardware are well-known and reasonably predictable. According to industry surveys, operational expenses (OpEx), which include system provisioning, patching, compliance, and troubleshooting, steadily increase over time and frequently exceed 50% of total cost of ownership (TCO) by the third year.

To ease the path of enterprise AI adoption and accelerate the conversion of AI insights into business value, NVIDIA recently published the NVIDIA Enterprise AI Factory validated design, an ecosystem of solutions that integrates seamlessly with enterprise systems, data sources, and security infrastructure. The NVIDIA templates for hardware and software design are tailored for modern AI projects, including Physical AI & HPC with a focus on agentic AI workloads.

The combined solutions simplify infrastructure operations and accelerate time-to-value for AI, telecom, and enterprise computing workloads.

Everyone agrees security matters – yet when it comes to big data analytics with Apache Spark, it’s not just another checkbox. Spark’s open source Java architecture introduces special security concerns that, if neglected, can quietly reveal sensitive information and interrupt vital functions.

The Cybersecurity Maturity Model Certification, or CMMC for short, is a security framework for protecting Controlled Unclassified Information (CUI) in non-federal systems and organizations. The CMMC compliance requirements map to the set of controls laid out in the NIST SP 800-171 Rev 2 and NIST SP 800-172 families.

Software supply chain security has become a top concern for developers, DevOps engineers, and IT leaders. High-profile breaches and dependency compromises have shown that open source components can introduce risk if not properly vetted and maintained. Although containerization has become commonplace in contemporary development and deployment, it can have drawbacks in terms of reproducibility and security.

The rapid growth in OpenStack installation and orchestration tools that we have seen in recent years has effectively established OpenStack as the world’s leading open source cloud platform. Projects like Sunbeam or Kolla Ansible, for example, are effectively transforming OpenStack into yet another user application.

In today’s hectic app development cycles, speed is key. But as teams scale and spread worldwide, and app complexity increases, traditional testing workflows become bottlenecks that can compromise security, increase operational costs, and delay product delivery. Simply sharing APKs or configuring physical test devices isn’t enough anymore – it’s time to rethink how we test and demo Android apps.

The world is changing every day. From geopolitical shifts to legislation like GDPR which requires localized processing – these all create a complex and uncertain landscape where data storage, processing, and cloud services could potentially come to a sudden halt or suffer heavy disruption overnight. As a result, organizations are increasingly interested in potential routes for shifting cloud services to safer alternatives closer to their country of operation.

If you’re a technology reseller in today’s uncertain software virtualization market, you and your customers are probably actively exploring options for virtualized environments. Of course, finding the perfect alternative is easier said than done: it needs to be scalable, easy to migrate to, cost efficient, and provide the same technical capabilities as preexisting virtualization solutions. That’s a seemingly tall order – but luckily, there are a range of options.