Expert Advice
Practical guidance from industry experts on Infrastructure
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How AI detects security threats in data centers
AI-powered security tools help data centers spot threats that rule-based tools miss. Learn how the technology works and which protections to implement.
Julia Borgini • Oct. 23, 2026 -
AI inference is changing data center design requirements
AI inference requires distinct infrastructure compared to training, focusing on low latency, appropriate hardware based on workload, and tailored power and cooling methods.
Abhishek Jadhav • Oct. 23, 2026 -
How network FinOps can control connectivity and cloud costs
While networking costs are challenging to manage, applying FinOps principles to network management can help. It starts with visibility and allocation.
Damon Garn • Oct. 23, 2026 -
AI-native networking vs. traditional network automation
Most engineers agree that no methodology fits every part of a network. Before choosing rule-based automation or learning-based tools, admins must consider network structure.
Andrew Froehlich • Oct. 20, 2026 -
Sovereign AI requires extending governance to AI layer
Under new data sovereignty regulations, deploying AI systems presents an urgent challenge: Endpoints within the U.S. are not enough to meet compliance requirements for cloud data.
George Lawton • Oct. 15, 2026 -
The pros and cons of hosting AI workloads on Kubernetes
When choosing where to host AI workloads, Kubernetes is often a top choice. However, there are drawbacks and alternatives that organizations should consider before committing.
Chris Tozzi • Oct. 15, 2026 -
Reevaluating the data center workforce
Data centers require skilled professionals. Collaboration between IT and facilities, along with proactive maintenance and remote monitoring, helps address workforce shortages.
Mary Shacklett • Oct. 13, 2026 -
Explore high-performance storage for real-time analytics
Real-time analytics is an important tool in any organization. While legacy storage systems struggle in this area, modern storage architectures can enable fast access to data.
Damon Garn • Oct. 9, 2026 -
What repos are trending on GitHub?
GitHub Stars are a proxy for developer interest. Weekly GitHub star growth highlights fast-rising repos, giving early insight into adoption trends, risks and strategic opportunities.
Ben Lutkevich • Sept. 21, 2026 -
IT/OT convergence benefits and challenges explained
As IT and OT converge across industries, organizations gain efficiency and visibility while facing hurdles around cybersecurity, legacy technology, governance and talent.
Julia Borgini • Sept. 9, 2026 -
API-first networking considerations for IT leaders
API-first network infrastructure offers benefits and flexibility, but enterprises must plan their deployments carefully to ensure their networks aren't exposed to new threats.
Venus Kohli • Sept. 8, 2026 -
How InfiniBand vs. RoCE compare for AI networking
InfiniBand and RoCE both offer distinct advantages to companies determining the best way to support their AI training strategies. But the cheaper option might not be the best one.
Abhishek Jadhav • Sept. 8, 2026 -
The road to automation: Exploring lights-out data centers
The lights-out data center has been a hot idea for years, but sites still don't have them. How far can we realistically go with data center automation?
Mary Shacklett • Aug. 27, 2026 -
Modernizing IT asset lifecycle management
Modern IT asset lifecycle management improves visibility, automates workflows and strengthens governance to reduce costs and improve resilience.
Damon Garn • Aug. 27, 2026 -
The case for hardened container images
Hardened container images strip unnecessary components to reduce CVEs and attack surfaces. Compare vendor approaches, tradeoffs and migration practices.
Wisdom Ekpotu • Aug. 26, 2026 -
3 ways dev teams use AI to improve software governance
Nobl9, Anchore and Nirmata show how AI can support software governance using SLOs for reliability, SBOMs for security and policy as code for infrastructure.
Twain Taylor • Aug. 26, 2026 -
Streamline multi-cloud cost analysis with AWS Data Exports and FOCUS
Uncontrolled costs drain budgets fast. AWS Data Exports and FOCUS reveal where your money goes, enabling precise analysis and optimizations for sustainable, cost-efficient growth.
Ernesto Marquez • Aug. 25, 2026 -
Why you need a dedicated design system team
A dedicated design system team can create reusable components, improve collaboration and branding, and reduce development work, but adoption brings challenges.
Eric Rocha • Aug. 25, 2026 -
Why agentic AI needs network APIs to succeed
APIs are a foundational component for agentic AI to work properly across enterprise networks. Learn why autonomous agents depend on network APIs to monitor and manage systems.
Verlaine Muhungu • Aug. 25, 2026 -
IT/OT convergence training and certification: A practical guide
IT/OT convergence training involves rethinking existing processes and acquiring new skills to bridge the knowledge gap in areas like business process engineering and project management.
Mary Shacklett • Aug. 25, 2026 -
How AI workloads affect enterprise network design
Distributed AI workloads reshape the architectures and strategies that enterprises traditionally relied on to plan network work capacity, manage congestion and support east-west traffic.
Abhishek Jadhav • Aug. 24, 2026 -
Why multi-cloud should be your default deployment model
With a single-cloud strategy, organizations risk vendor lock-in, financial exposure and regulatory hurdles. A multi-cloud deployment model is essential for today's IT operations.
Damon Garn • Aug. 24, 2026 -
How distributed computing drives revenue and resilience in cloud
Now is the time to align infrastructure decisions with the speed and expectations of your customers. See how distributed computing can create value and what to expect.
Damon Garn • Aug. 20, 2026 -
A look at HTTP’s new QUERY method
HTTP QUERY gives complex read operations a safe, idempotent alternative to GET and POST. Learn its benefits, use cases and enterprise adoption options.
Damon Garn • Aug. 20, 2026 -
IT vs. OT: Key differences explained
IT and OT have long been independent disciplines, but technical developments and new processing requirements -- particularly for AI and IoT -- are compelling IT/OT convergence.
Rich Castagna • Aug. 20, 2026