AWS Cloud Security User Group - West Africa

Stop guessing why your distributed system is slow. Start measuring it. 🩺☁️
In a decoupled, high-throughput microservices architecture, traditional infrastructure monitoring falls flat. When an API request hangs or drops silently, staring at a basic CPU utilization dashboard won't tell you why. Is it a transient database deadlock, an unoptimized AWS Lambda runtime cold start, or a third-party API timeout?
Without distributed tracing and structured observability, your SRE team is playing a guessing game during critical production incidents.

We are breaking down the blueprint for production-grade telemetry. Join us as we explore how to fuse AWS CloudWatch, AWS X-Ray, and AWS Distro for OpenTelemetry (ADOT) into a unified, vendor-agnostic observability plane that surfaces issues before they affect your customers.
Whether you are trying to cut down your Mean Time to Resolution (MTTR), looking to shift architecture validation left in your CI/CD pipelines, or scaling an enterprise platform, this session gives you a real-world, production-ready SRE framework.

📅 Date: Saturday, July 4th, 2026
⏰ Time: 6:00 PM – 7:00 PM WAT
📍 Location: Virtual

Meet Our Speakers
🎤 Speaker: Chisom Godstime – Snr SRE Engineer
🎤 Moderator: Promise Uche – AWS Builder/DevOps Engineer

✅ This session will cover:
🔍 Unified Instrumentation with OpenTelemetry (OTel) — Understand why vendor-agnostic data collection beats proprietary agents. Learn how to leverage AWS Distro for OpenTelemetry (ADOT) to capture traces, metrics, and logs across containerized workloads without code lock-in.

🕸️ End-to-End Distributed Tracing via AWS X-Ray — Discover how to visualize transaction paths across complex service boundaries. See how to isolate latency bottlenecks, inspect downstream HTTP payloads, and trace asynchronous event journeys seamlessly.

📊 SRE Dashboards & Predictive Alerting in CloudWatch — Learn how to move past reactive alerting. We will break down how to construct high-signal CloudWatch ServiceLens maps, extract insights from Contributor Insights, and write precise metric math to track your critical SLOs and SLAs.
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⚙️ Shifting Observability Validation Left — See how to automate the configuration of your monitoring-as-code assets before deployment—embedding CloudWatch alarm definitions, tracer configurations, and Terraform validation rules directly into your active pull-request pipelines. 🛠️🚨