Red Hat Joins the Vendor Forum

Pete Goldin
APMdigest

Ben Henshall, Senior Director, Financial Services, at Red Hat, has joined the APMdigest Vendor Forum.

Henshall holds a Bachelor of Science (Information Systems - UNSW, Australia) and is the Director for Red Hat's Financial Services industry practice for the Asia Pacific region. His primary responsibility is to help financial institutions, both new and longstanding, transform the way they deliver their products and services using digital means. His focus is to help financial institutions become high performing software delivery organizations, in order to better compete and become more agile in the way they execute on their digital initiatives. This extends to providing perspectives on how to improve the implementation of cloud native application and infrastructure architectures, organizational structures, DevOps, Agile and multi cloud architectures. Henshall comes with over a decade of experience within Red Hat in multiple roles across APAC with prior working experience at Oracle and BEA Systems.

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. Red Hat helps customers integrate new and existing IT applications, develop cloud-native applications, standardize on the company's operating system, and automate, secure, and manage complex environments. Support, training, and consulting services make Red Hat a trusted adviser to the Fortune 500. As a strategic partner to cloud providers, system integrators, application vendors, customers, and open source communities, Red Hat can help organizations prepare for the digital future.

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Red Hat Joins the Vendor Forum

Pete Goldin
APMdigest

Ben Henshall, Senior Director, Financial Services, at Red Hat, has joined the APMdigest Vendor Forum.

Henshall holds a Bachelor of Science (Information Systems - UNSW, Australia) and is the Director for Red Hat's Financial Services industry practice for the Asia Pacific region. His primary responsibility is to help financial institutions, both new and longstanding, transform the way they deliver their products and services using digital means. His focus is to help financial institutions become high performing software delivery organizations, in order to better compete and become more agile in the way they execute on their digital initiatives. This extends to providing perspectives on how to improve the implementation of cloud native application and infrastructure architectures, organizational structures, DevOps, Agile and multi cloud architectures. Henshall comes with over a decade of experience within Red Hat in multiple roles across APAC with prior working experience at Oracle and BEA Systems.

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. Red Hat helps customers integrate new and existing IT applications, develop cloud-native applications, standardize on the company's operating system, and automate, secure, and manage complex environments. Support, training, and consulting services make Red Hat a trusted adviser to the Fortune 500. As a strategic partner to cloud providers, system integrators, application vendors, customers, and open source communities, Red Hat can help organizations prepare for the digital future.

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Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Exploring AI Observability – Part 3: The Current State of AI Observability

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

Exploring AI Observability – Part 2: Traditional vs. AI Observability

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

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In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

AgenticOps Scaling Quickly in the Enterprise

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

Why Better Technology Won't Fix a Broken Workflow

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

What If AI's Biggest Competitive Advantage Isn't the Model?

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

Why Going All-In on Cloud No Longer Works in the Age of AI

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Visibility Is Not a Strategy - What Matters Is What Happens Next

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

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