Saad H. is a AWS Enterprise Support Lead & Technical Account Manager at Amazon Web Services (AWS), where he serves as a trusted technical advisor to enterprise customers navigating complex cloud transformations. Saad's technical expertise is backed by multiple industry-leading certifications, including AWS Certified Solutions Architect – Professional, AWS Certified Machine Learning – Specialty, AWS Certified AI Practitioner (Early Adopter), and Certified Kubernetes Application Developer (CKAD) from the Linux Foundation. 

With a background spanning telecommunications and cloud computing, Saad has authored multiple patents related to network charging systems and wireless communication networks. His work on "Revolutionizing 5G Billing and Charging with AWS SageMaker" demonstrates his ability to apply modern cloud architectures and machine learning to solve complex, real-world problems in critical infrastructure systems.

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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