Ahmed N. is a seasoned Technical Account Manager at Amazon Web Services (AWS), serving as a strategic technical advisor to enterprise Healthcare customers undergoing complex cloud transformation initiatives. His deep technical expertise is validated through prestigious industry certifications, including AWS Certified Solutions Architect – Professional, AWS Certified Security – Specialty, and Project Management Professional (PMP) certification.

Leveraging his extensive background in networking and telecommunications, Ahmed excels at architecting innovative cloud solutions and implementing machine learning technologies to address mission-critical infrastructure challenges. He combines technical acumen with strategic thinking to deliver scalable, secure solutions that drive business transformation and operational excellence for enterprise customers.

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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