Operations | Monitoring | ITSM | DevOps | Cloud

Co-authored with Julie Muzina A year ago, during our Madrid Engineering Sprint, we challenged ourselves to dramatically reduce, or even eliminate, the need for constant design involvement in the day-to-day creation of web pages. Our strategy for achieving this is based on a smarter, more structured approach to content.

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.