Following IBM’s acquisition of HashiCorp, company leaders including Tyler Lynch stepped into new roles at IBM. In this interview, Lynch breaks down IBM's overall Automation portfolio, dives deep into the latest product updates around agentic security, details the role of products such as HashiCorp Vault and Terraform in those updates, and looks ahead to the future.

Featuring: Tyler Lynch, Outbound CTO, IBM Automation

In today’s episode, we’ll cover…

• Security, Identity, and HashiCorp Vault 2.x
• An update on HashiCorp Boundary, Consul and Nomad
• IBM Automation 2.0

And more!

References:

• From perceptron to Concert: The operations data model at IBM Think ‘26
• IBM Bob AI coding agent ships, HashiCorp AIOps previewed
• IBM - HashiCorp AI roadmap takes shape at HashiConf

To learn more about AI and IT Operations, check out TechTarget Infrastructure.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

The world has undergone a "great storage squeeze" over the last year, as memory shortages have driven up storage prices across all markets. The pinch is felt most strongly in AI infrastructure buildouts, which demand massive capacity from data storage systems to supply frontier models and AI agents with relevant data, as well as high-performance delivery of that data. An experienced enterprise storage executive reflects on how AI could be both the cause of storage management woes and their potential remedy.

Featuring: Adrian Johnson, CRO, Hitachi Vantara

In today's episode, we'll cover…

• The multi-faceted AI infrastructure problems CIOs face
• Data sovereignty concerns' effect on storage management
• How Hitachi Vantara is using agentic AI for storage supply chain management

And more!

References:

• How the 'Great Storage Squeeze' impacts infrastructure strategies
• It’s 10 p.m. Do You Know Where Your Data Is?
• Hitachi Group site selected as "Global Lighthouse Factory"

To learn more about AI and IT Operations, check out TechTarget Infrastructure.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

Data centers and their resource demands on surrounding communities have become national political news as AI infrastructure grows. Meanwhile, the industry's focus is about to shift again, from training frontier AI models to AI inference, which calls for smaller, more distributed facilities and raises a different set of potential concerns.

Henry Cubillan is senior vice president of Americas Commercial for Kelvion, a manufacturer of cooling and thermal management technology. In this episode, he sheds light on emerging data center cooling approaches that demand less water, along with their trade-offs. He also discusses how the industry should respond to public controversy about AI data centers.

In today’s episode, we’ll cover…

• New buildouts vs retrofitting existing data center facilities
• Evaporative cooling, closed-loop liquid cooling and dry cooling
• Striking a balance between data center power and water usage
• The outlook for enterprises with growing AI inference workloads

And more!

References:

• Data center builders confront public AI backlash
• AI data centers can run hot to stay cool: report
• A shadow water problem: AI's power demand shifts consumption upstream

To learn more about AI and IT Operations, check out TechTarget Infrastructure.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

Komprise has amassed $85 million in funding and multiple patents for its metadatabase, which lends structure to unstructured data. Data processing is increasingly in the spotlight as enterprise AI struggles to reach production.

"It's garbage in, garbage out," according to Krishna Subramanian, COO at Komprise, something more enterprises are realizing as they develop context engineering practices for AI agents. But Subramanian argues that common techniques such as RAG and vectorizing data aren't enough to ensure quality results.

In this episode, we also discuss:

• Metadatabases vs distributed data lakehouses
• Metadatabases vs knowledge graphs
• The art and science of data classification
• Why, at Komprise, "we don't believe in 100% automation."

And more!

References:

• Context is king as agents evolve, but problems persist
• Komprise adds Iceberg for unstructured data management
• Atlassian's Secoda acquisition adds data catalog for Rovo AI
• ServiceNow digs deeper into data for AI with Data.world buy

To learn more about software development and platform engineering, check out Search IT Operations.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

IT Ops Query caught up with an AI infrastructure development executive from a global cooling and air-conditioning manufacturer at the Yotta 2026 conference in Las Vegas this week, to discuss the wide range of topics generating buzz at the show. Just a few of the fast-paced developments on the minds of data center operators: how to do a better job communicating with communities where new facilities are being built, how to keep up with the insatiable need for AI infrastructure capacity, and rethinking power and cooling designs to improve efficiency.

Featuring: Yong Tan, global vice president, AI infrastructure development, Airsys USA

In today’s episode, we’ll cover…

• Modular data center approaches for fast buildouts
• Integrating "white space" and "gray space" infrastructure more tightly
• Two-phase liquid cooling
• 800 volt direct current

And more!

References:

• Report: Anthropic locks in $518B AI infrastructure commitments
• Akamai's potential $20B Anthropic deal scales AI beyond GPUs
• Power grid operator faces data center stress test

To learn more about AI and IT Operations, check out TechTarget Infrastructure.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

A recent whitepaper by the founder of a fledgling think tank identifies three common failure modes in agentic AI governance, chief among them the idea that AI models can be trusted to govern themselves. That founder, and the six companies he's founded, propose a new way to more effectively bind and guide AI agents – from the outside. In this episode, he shares with IT Ops Query his multi-faceted proposals for new industry standards in agentic IT governance and certification. But now that he's built it, will industry stakeholders come?

Featuring: Jim Ford, founder and architect, Equilateral AI

In today's episode, we'll cover:

• The inherent conflict of interest in constituional AI and guardrails

• Authority drift and salience delusion

• Proposed industry standard approaches to guiding and capturing agentic intent

• How to avoid the pitfalls of SBOM

And more!

References:

• The AI agent governance gap: How CIOs can gain control

• AgenticOps for infrastructure faces a deterministic dilemma

• Is AI our agent, or are our governments becoming agents for AI? | Computer Weekly

• Authority Must Live Outside the Model – Equilateral

To learn more about software development and platform engineering, check out Search IT Operations.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

Splunk .conf 26 in Denver was the coming-out party for the Cisco subsidiary's Agent Observability tool, which combines continuous behavior evaluation with troubleshooting and security features to keep autonomous agents in line. Two Splunk executives break down new Tokenomics and Observability Studio features introduced for the GA release, and share trends they see among enterprise customers preparing for autonomous AI agents in production.

Featuring: Vikram Chatterji, senior director of agent resilience at Splunk Patrick Lin, SVP & GM, Observability at Splunk

In today’s episode, we’ll cover…

• Splunk's special sauce for tokenomics
• Claude Code integration through Observability Studio
• How Agent Observability fits into corporate governance systems

And more!

References:

• Splunk's path to autonomous AI starts with tightly constrained agents
• Cisco Cloud Control unites AgenticOps for IT infrastructure
• Cisco Galileo buy reflects blurring lines in AI observability

To learn more about AI and IT Operations, check out TechTarget Infrastructure.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

About a year after leaving HashiCorp following its acquisition by IBM, Dave McJannet is back with a proposed infrastructure substrate for the next platform shift brought about by AI agents. McJannet likens the state of today's AI governance to last decade's "Cloud 1.0." His new company, Dome Systems, anticipates the "2.0 moment" when initial hype and piecemeal automation approaches give way to more standardized automation.

Featuring: Dave McJannet, co-founder, Dome Systems

In today’s episode, we’ll cover…

• What's missing from existing AI governance tools
• What Dome's agent operations platform is and is NOT
• Where Dome is headed now that it's shipped its first products

And more!

References:

• The best AI governance tools and platforms in 2026
• Who owns AI's decisions? Reengineering AI governance
• How governance as code controls AI agent risk

To learn more about AI and IT Operations, check out TechTarget Infrastructure.