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Correlate telemetry data with Amazon OpenSearch Service and Amazon Managed Grafana
- Troubleshooting complex enterprise applications involves challenges like tracing requests, identifying bottlenecks, and understanding cascading failures.
- Correlating signals like logs, traces, and metrics can provide insights into root causes of problems and reduce Mean Time to Resolution.
- Amazon OpenSearch Service and Managed Grafana offer solutions to analyze and visualize telemetry data at scale.
- Architecture involves microservices on Amazon EKS emitting telemetry data to the OpenTelemetry Collector for uniform collection.
- Separating observability signal data into OpenSearch Ingestion pipelines facilitates scalability and fault isolation.
- Prerequisites include configuring Amazon Managed Prometheus workspace, OpenSearch Service domains, and Grafana workspace.
- Setting up IAM policies, roles, and ingestion pipelines enables efficient data processing in OpenSearch Service.
- Deploying an OpenTelemetry demo application on EKS allows for monitoring telemetry data with Grafana and OpenSearch Service.
- Configuring the OpenTelemetry Collector for logs, traces, and metrics export to respective targets enhances data visualization and analysis.
- Creating correlations in Amazon Managed Grafana links logs, traces, and metrics for seamless analysis and insight extraction.
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