What happens when someone who helped shape the early days of virtualization returns to the field to lead a new era of secure, flexible computing? At IGEL’s Now & Next event in Frankfurt, I sat down with Peter Goldbrunner, Regional Vice President for Central Europe, to explore how his decades of experience at Citrix and Nutanix are helping drive IGEL’s transformation into a software-focused security leader.

Peter’s background provides him with a unique vantage point on the evolution of enterprise technology. From server-based computing to cloud and now prevention-first endpoint security, he has witnessed every wave of IT transformation firsthand. In this conversation, he explained how IGEL’s evolution is meeting the moment for customers facing economic pressure, complexity, and the demands of hybrid work. He also described why the endpoint is emerging as the new control point for business continuity and security, rather than the weakest link.

We also discussed what it means to lead transformation within a company that has already reinvented itself. Peter shared how the German-speaking markets are balancing cost control with innovation, why local trust matters, and how IGEL’s role-based approach to security helps organizations prepare for what comes next. His perspective on collaboration, learning, and execution offered a clear reminder that transformation is not just about technology; it is about people, priorities, and timing.

As the Now & Next tour continues, Peter’s insights demonstrate why resilience and prevention are now inseparable for any organization that wants to thrive in a world where security and productivity are inextricably linked. How can companies ensure their IT strategies are ready for what comes next?

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In this episode of IT Infrastructure as a Conversation, I sit down with Bill Hineline, Field CTO at Chronosphere, to talk about something every IT leader has wrestled with at some point, observability. Bill has spent more than 25 years in the industry, including leading observability at United Airlines, so he knows firsthand what happens when data collection turns from helpful to overwhelming.

We talked about why the old collect-everything mindset has created what Bill calls data landfills, how organizations can shift toward collecting data with intent, and why so many teams still struggle with alert fatigue and burnout. Bill also shared his take on how to build observability around business outcomes rather than dashboards, and why connecting metrics to real customer value is the only way to truly measure ROI.

What really struck me was Bill’s perspective on culture. He believes that observability should be treated as a first-class citizen, something that empowers teams rather than burdens them. Moving from reactive firefighting to proactive, data-driven decision-making is not easy, but as Bill explains, it starts with asking one simple question: why are we collecting this data in the first place?

If you have ever been woken up at 3 a.m. by an alert that turned out to be nothing, this conversation will feel painfully familiar. But it is also full of practical insights on how to change that story for good.

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In this episode, I’m joined by Michael Wu of Phison Electronics, recorded shortly after our meeting on the IT Press Tour in Silicon Valley. Michael takes us inside Phison’s latest breakthrough: the aiDAPTIV+ platform and its integration with StorONE’s ONEai solution. Together, they’re reshaping how enterprises think about AI training, inference, and data sovereignty.

Michael explains how aiDAPTIV+ acts as expansion memory for GPUs, reducing power consumption and cutting hardware costs by up to 10x. We also dig into the partnership with StorONE, which has produced a plug-and-play, storage-based AI solution that makes large language model training accessible to organizations of all sizes—including smaller businesses and universities that traditionally struggle with GPU access.

From the launch of the E28 Gen5 AI-enabled SSD controller to the endurance-driven Pascari X200Z SSDs, Michael shares the technical innovations under the hood and what they mean for performance and reliability. He also looks ahead to future workloads, where models with trillions of parameters will demand smarter, more scalable storage architectures.

If you’re an IT leader weighing the trade-offs between cloud-based AI and secure, on-premises solutions, or you’re simply curious about how storage is becoming central to AI acceleration, this conversation will give you a fresh perspective.

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