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.

Linux log files are text-based records that capture system events, application activities, and user actions. They're stored primarily in the /var/log directory and provide essential information for debugging issues, monitoring system health, and maintaining security. This guide covers the most important Linux log files and a few detailed techniques for reading and analyzing them.