Operations | Monitoring | ITSM | DevOps | Cloud

Optimizing Team Strengths for Effective Operations

Most people think great network engineers are defined by technical expertise. This episode challenges that idea. Because what Troy McDonald shows is that the real differentiator isn’t just technical skill—it’s the ability to translate complexity into clarity. From military operations to enterprise networks, one lesson keeps showing up.

From Signal Corps to Space: Building Networks That Can't Fail with Troy MacDonald

What does it take to succeed in networking when complexity is constantly increasing, and change never slows down? In this episode of Next-Gen Network Heroes, host Bob Slevin sits down with Troy (David) MacDonald, a network engineer at Blue Origin and former U.S. Army Chief Warrant Officer, to explore a career that spans from infantry beginnings to designing and managing large-scale, mission-critical networks.

Why Network Operations Needs Data-Centric AI

The discussion around AI in infrastructure and operations has become increasingly model-centric. Teams want to know what model a platform uses, how current it is, how much reasoning capacity it has, and how quickly it can be updated as the model landscape shifts. Those are reasonable questions, but they tend to arrive too early. In production operations, the more consequential question is what happens to the data before any model is asked to interpret it.

Enhancing Your Search Skills with Liang Chen

What does it take to reinvent network visibility from the ground up? In this episode of Next-Gen Network Heroes, Bob sits down with Liang Chen, Senior Network Architect at Texas Children’s Hospital and creator of a next-generation network traffic analyzer built for real-time, packet-level visibility. Liang shares how he built a platform capable of analyzing traffic at up to 200Gbps with zero packet loss—unlocking deeper network forensics and faster troubleshooting in mission-critical environments.

True Visibility: How Liang Chen is Rethinking Network Monitoring

What happens when deep networking expertise meets low-level programming and a passion for invention? In this episode of Next-Gen Network Heroes, host Bob Slevin sits down with Liang Chen, Senior Network Architect at Texas Children's Hospital and a true innovator in network performance and visibility. With more than 25 years of experience in networking, plus advanced expertise in programming languages like C and Assembly, Liang has built his own next-generation traffic analysis platform from the ground up—designed to provide real-time, packet-level visibility at massive scale.

Operational Intelligence and the Hidden Structure in System Logs

Most IT teams do not suffer from a lack of data. They suffer from the amount of effort required to make sense of it. Every network device, application, cloud service, and infrastructure component generates a constant stream of machine output. Logs capture state changes, failures, retries, warnings, and thousands of other small signals about how systems behave. The problem is that raw logs are hard to use at operational speed.

Driving Innovation: A Bias Towards Action with Greg Freeman

AI is changing network operations faster than ever. In the latest episode of Next-Gen Network Heroes, Bob sits down with Greg Freeman of Lumen Technologies to talk about what it takes to innovate across one of the world’s largest telecommunications networks. From deterministic workflows to agentic AI, Greg shares how his team is using automation, analytics, and AI to improve network reliability, customer experience, and operational efficiency at scale.

Bias Toward Action: Driving AI Innovation Across Global Networks with Greg Freeman

What does it take to lead innovation across one of the world’s largest telecommunications networks? In this episode of Next-Gen Network Heroes, host Bob Slevin sits down with Greg Freeman, Vice President of Network and Customer Transformation at Lumen Technologies, to explore how AI, automation, and curiosity are reshaping the future of network operations.

When Dashboards Start Teaching the System: Why Selector's Natural Language Querying Matters

Operations teams have lived with the same frustrating tradeoff for years: the data exists, but getting to the right answer often takes too much time and too much expertise. Engineers are expected to know platform-specific query languages, navigate layers of dashboards, and understand exactly where the right visualization lives before they can even begin troubleshooting. That approach can work in smaller environments, but as infrastructure grows more distributed and complex, it becomes a bottleneck.