Principal Cloud Architect specializing in observability, cloud-native reliability, and AI-driven systems.

I am a Principal Cloud Architect focused on observability for cloud-native systems and multi-cloud infrastructure.

My work centers on helping engineering and operations teams design, evaluate, and apply observability solutions that improve visibility, reliability, and decision-making across complex environments.


I work with SREs, DevOps engineers, infrastructure teams, and security practitioners to discuss observability products, architecture patterns, and implementation approaches that fit their current systems and operational goals.

Through this work, I help organizations think more intentionally about telemetry, monitoring, log analytics, tracing, and the broader observability practices needed to support modern distributed systems.


Outside of my day-to-day work, I enjoy writing technical articles, speaking about observability, and advocating for women in STEM. I also mentor students and early-career engineers as they navigate the engineering profession.

Latest Insights

Selected recent writing, talks, and industry perspectives on observability, cloud-native systems, and modern reliability.

Correlation over Collection: A Layered Observability Framework for SREs — Conf42 SRE

Observability Predictions for 2026 – APMDigest

Five Stages of Observability Maturity – CIO.com

An End-to-End Cloud Native Observability Framework – The New Stack

The Two-Way Relationship Between AI and Observability APMDigest

AI-Driven Log Analytics for Custom Applications in OCI – Oracle Blogs

I’m open to speaking engagements, community sessions, guest lectures, and conversations about observability, cloud-native systems, and mentoring for aspiring engineers.

Get in touch.