EKS Telemetry
Automated observability for microservices at scale.
tech stack
AWSEKSPrometheusGrafanaKubernetes
The Problem
Managing observability for a large 67-service microservices application on AWS EKS was a manual, error-prone process that left critical services unmonitored.
What I Built
Designed and deployed an automated telemetry stack using the Prometheus Operator and Grafana on EKS. The system uses auto-discovery to ensure every new service is immediately tracked and alerted on.
Architecture & Approach
Utilized Helm charts and Terraform to deploy a highly available OTel-Prometheus-Grafana pipeline. Implemented service-level objectives (SLOs) and automated alerting based on the "Golden Signals" of SRE.
Impact & Results
Achieved 100% monitoring coverage across all 67 microservices.
Reduced cloud infrastructure costs by 20% through resource optimization identified via telemetry.
Automated disaster recovery alerts, reducing downtime by 30% during regional outages.
Key Decisions & Tradeoffs
Selected Prometheus over managed cloud-native tools to avoid vendor lock-in and provide a standardized interface for developers across different environments.