Software Architect, and International Keynote Speaker
Deploying applications in federal environments often feels like navigating two opposing forces. On one side, you have the operational demand for rapid delivery and modern deployment patterns. On the other, you have rigid compliance frameworks, strict infrastructure controls, and legacy platform constraints.
The alerts started coming in mid-afternoon. Intermittent 503s. Not a flat outage, not a clean failure. Just enough errors to be alarming and inconsistent enough to be confusing. The kind of thing that makes you refresh the dashboard three times hoping the number changes.
As a Software Architect, my career is built on the pillars of observability, data integrity, and system reliability. When I faced two major knee surgeries over the past year—including a complex meniscus revision—I realized that the modern medical experience has a massive observability gap. Patient data is siloed, imaging is interpreted with extreme caution, and “rehab protocols” are frequently…
In the early days of mining, canaries were the ultimate fail-safe. If the bird stopped singing, miners knew immediately that the air was toxic, giving them crucial moments to escape before disaster struck.
I started my cloud journey with Google Cloud Platform, and I’ll be honest—I got lucky. GCP was my first cloud, so I never had to deal with the mental overhead of translating concepts from one platform to another. But over the years, as I’ve interviewed candidates and talked with engineers making the switch, I’ve noticed a pattern: really talented people psyching themselves out about GCP simply…
If 2024 was the year AI grabbed the microphone, 2025 was the year Kubernetes quietly took the wheel again. As someone who spends more hours in kubectl than Slack, I found this year surprisingly satisfying — less drama, more maturity. We didn’t get shiny new toy announcements every quarter, but the ones we did get stuck. And for the first time in a while, “reliability” wasn’t just an SRE buzzword —…
I’ve been working in AWS recently, and I keep catching myself missing Google Cloud Platform. Not the console UI, not the service names—specifically, IAM.
After six years building full-stack applications and another six years in platform engineering, DevOps, and SRE, I thought I knew cloud development. When I became a Google Cloud Developer Expert this year focusing on application modernization, I figured the Professional Cloud Developer certification would be straightforward validation of what I already knew.
As we stand at the intersection of traditional infrastructure and artificial intelligence, the role of Site Reliability Engineering (SRE) and Modern Architecture is undergoing a dramatic transformation. My journey from managing the 2024 Super Bowl broadcast to tackling the challenges of MLOps illustrates this evolution and highlights the critical importance of reliability in our AI-driven future.
As businesses modernize and embrace cloud-native architectures, one of the biggest challenges they face is how to migrate from virtual machines (VMs) to containers. Initial excitement is met with frustration as teams encounter challenges, setbacks, as the true scope and complexity of the task become apparent. With that said, I want to address the three most common questions and concerns that I see…