Tae U. is a Technical Account Manager at Amazon Web Services (AWS) serving as a strategic technical advisor to enterprise customers undergoing complex cloud transformation initiatives. His technical expertise is validated through industry certifications, including AWS Certified Solutions Architect – Professional and AWS Certified DevOps Engineer – Professional. 

With experience supporting multiple enterprise-sized organizations, Tae excels at driving successful cloud adoption strategies across diverse business environments. He combines technical knowledge with collaboration skills to deliver solutions focused on operational excellence, reliability, performance efficiency, and cost optimization —helping enterprise customers transform their businesses.

Presentations

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Workshop: Three Pillars of Observability: The Open Source Way

Modern observability requires correlating metrics, logs, and traces—but many teams struggle with vendor lock-in or complex self-hosted infrastructure. This advanced workshop teaches production-ready observability using open-source CNCF standards.

You'll instrument a microservices application on Kubernetes using OpenTelemetry, the vendor-neutral observability framework. Through four hands-on modules, you'll collect and correlate all three pillars: metrics (Prometheus), logs (OpenSearch), and distributed traces (OpenSearch trace analytics).

The workshop uses AWS managed services (Managed Prometheus, Managed Grafana, OpenSearch Service) for convenience, but all patterns apply to self-hosted deployments. You'll configure OpenTelemetry collectors with SigV4 authentication, build unified dashboards correlating metrics-logs-traces, and analyze service maps for performance bottlenecks.

Leave with working Kubernetes configurations, Grafana dashboards, and practical experience implementing CNCF-standard observability that avoids vendor lock-in.

Session Details

Duration: 120 minutes (or trim to 90 minutes for core modules 1-4)

Audience Level: Advanced (Level 400)

Prerequisites: Kubernetes experience required. Familiarity with kubectl, AWS CLI, and basic observability concepts (metrics/logs/traces)

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