Expert Advice: Page
Practical guidance from industry experts on Infrastructure
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A primer on hyperscale data centers
Hyperscale data centers can hold thousands of servers and process much more data than an enterprise facility. However, they can be difficult to build and maintain.
Jacob Roundy • June 5, 2026 -
Self-healing IT systems: Benefits, challenges and use cases
Self-healing IT systems combine AI, automation and observability to reduce downtime, strengthen security and support scalable, resilient operations.
Damon Garn • June 4, 2026 -
AI operating models: Balancing autonomy and human oversight
AI operating models in data centers define decision-making and risk management. Balancing machine autonomy and human control is crucial for efficiency and governance.
Damon Garn • June 3, 2026 -
Close cloud security gaps to secure AI workloads
Is your cloud security strategy ready for AI workloads? Organizations must strengthen cloud security -- including data protection and IAM controls -- to safeguard AI.
Chris Tozzi • June 2, 2026 -
6 best open source workflow engines for 2026
When evaluating open source workflow engines, learn their features and strengths, then view top platforms that streamline data pipelines, roll out microservices and automate tasks.
George Lawton • June 2, 2026 -
Monetizing modern data centers: Strategies for IT leaders
Modern data centers are strategic assets that drive innovation, enabling AI, analytics and internal data products for business growth and operational efficiency.
Damon Garn • June 1, 2026 -
Advantages and disadvantages of using a SAN
SAN benefits include speed, scalability and fault tolerance, but the technology isn't without its drawbacks. Cost and complexity are big concerns for smaller organizations.
Damon Garn and Brien Posey • June 1, 2026 -
Harness engineering: Agent harnesses as critical infrastructure
Harness engineering gives enterprises a framework to operationalize agentic AI with orchestration, memory, guardrails and runtime observability.
Kerry Doyle • May 29, 2026 -
NAS vs. SAN vs. DAS: Key differences and best use cases
Compare NAS, SAN and DAS and find out what to consider when using each type of storage system. Object storage and the cloud are additional available storage options.
Rich Castagna • May 28, 2026 -
Fibre Channel vs. iSCSI: What are the differences?
Discover how Fibre Channel and iSCSI compare when it comes to meeting SAN performance, ease of use, manageability, total package and TCO requirements.
Stacey Peterson, Marc Staimer, Rich Castagna • May 28, 2026 -
IT automation challenges and how to overcome them
IT automation promises faster operations and lower costs, but legacy systems, AI risks, maintenance complexity and skills gaps often prevent initiatives from scaling.
Kathleen Richards • May 27, 2026 -
How to optimize networks for AI workloads in the cloud
An AI investment could be leaking money through poor cloud networking. Discover how IT leaders cut costs, boost speed and gain a competitive advantage with strategic optimization.
Chris Tozzi • May 26, 2026 -
The benefits of tape vs. disk backup for enterprise storage
Data growth forces companies to find the right backup media. Tape and disk are reliable options, but there are many factors to consider when choosing between -- or combining -- them.
Sean Kerner • May 22, 2026 -
Navigating energy management strategies in AI data centers
Data centers face increasing energy demands driven by AI applications. This shift prompts a focus on energy management strategies, sustainability and innovative approaches.
Mary Shacklett • May 22, 2026 -
Comparing 7 storage network protocols
Compare characteristics of common storage protocols, such as iSCSI, Fibre Channel, FCoE, NFS, SMB/CIFS, HTTP and NVMe-oF, to decide which one is best suited to your needs.
Brien Posey • May 22, 2026 -
SAN security best practices
Robust SAN security requires multi-layered protection: strong access controls, continuous monitoring, encryption and zero-trust architecture to safeguard critical data.
Paul Kirvan • May 21, 2026 -
How IPv6 mandates influence enterprise network strategy
Although aimed at government agencies, IPv6 mandates are pushing private enterprises to modernize networks to increased costs, security risks and collaboration barriers.
Damon Garn • May 21, 2026 -
Choosing an IT process automation platform for 2026
Enterprises that depend on large-scale IT processes must be strategic about their automation tools. Explore nine platforms to determine the best one for your organization.
Chris Tozzi • May 20, 2026 -
Microgrids: Transforming data center energy resilience
As AI demands surge, data centers are turning to microgrids for resilience and cost efficiency, ensuring reliable energy amid rising risks and uncertain power supply.
Mary Shacklett • May 19, 2026 -
Multi-agent architectures: How coordinated AI systems scale
Enterprise teams are moving from ad hoc coding agents to coordinated multi-agent systems with standardized skills, orchestration and real runtime validation.
Twain Taylor • May 19, 2026 -
From perceptron to Concert: The operations data model at IBM Think ‘26
IBM positions Concert as a graph-driven operations platform that combines observability, policy, risk and AI agents into a shared enterprise context layer.
Torsten Volk • May 12, 2026 -
AI assistants for IT ops: Select and govern operational bots
AI assistants are transforming IT operations by improving efficiency and resolution times, but success depends on governance, validation, transparency and leadership oversight.
Damon Garn • May 12, 2026 -
The key to aligning technology initiatives with business goals
STAREAST presenters outlined frameworks for aligning QA, AI and IT initiatives with business value through shared metrics tied to cost, risk and outcomes.
Gerie Owen • May 11, 2026 -
Attackers targeting storage infrastructure for remote work
Threat actors are pivoting from endpoints to storage, crippling backups and exploiting cloud misconfigurations. See how identity, remote work and zero trust gaps fuel ransomware.
Robert Sheldon • May 11, 2026 -
10 AI-driven network management tasks
AI can automate key network operations tasks, such as anomaly detection, event correlation and ticketing. This shifts network engineers toward governance and system design.
Verlaine Muhungu • May 8, 2026