AWS re:Invent 2025 - From Metrics to Management: Practical Observability on EKS (DEV202)

Watch	Topic	Details
YouTube	Introduction to Observability	Observability is about extracting actionable insights to assess and improve application performance, health, and behavior. It should be a continuous cycle involving detection, investigation, remediation, and assessment.
YouTube	Importance of Observability	Enables gaining insight into application health. Facilitates better troubleshooting of issues. Enhances customer experience. Helps control costs.
YouTube	Observability Signals	Metrics: Identifying problems. Traces: Locating problems. Logs: Understanding the cause of problems. Profiles: Analyzing code behavior.
YouTube	Amazon Managed Service for Prometheus	Fully managed, serverless, Prometheus-compatible monitoring service. Provides high availability and multi-AZ support. Uses Prometheus data model and PromQL for querying. Can be integrated with OpenTelemetry for metrics collection.
YouTube	Best Practices for Amazon Managed Service for Prometheus	Use private link and IAM for secure data transfer. Reduce costs by adjusting scrape interval and relabel config. Set appropriate retention periods for data. Ensure high availability by running multiple containers. Use consistent identifiers for data correlation.
YouTube	Amazon Managed Grafana	Fully managed analytics and visualization platform. Used for creating dashboards, alerting, and managing metrics and traces. Works in conjunction with Amazon Managed Service for Prometheus. Best practices include creating clear, specific dashboards and setting appropriate retention periods.
YouTube	Demo of Observability Setup	Demonstration of setting up observability using Amazon Managed Service for Prometheus and Amazon Managed Grafana. Involves creating scrapers, workspaces, and configuring data sources. Emphasis on following best practices for configuration and visualization.

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Description

This talk shows how to bake observability into Amazon EKS so you can see exactly how each deployment impacts your SLOs. I’ll cover setting up Prometheus and Grafana, cutting noise with smarter instrumentation, and turning metrics into release decisions. You’ll leave with configs and patterns you can drop straight into your own clusters using best practice.

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