Adding how it is an observability strategy with opensearch

Author: arcegacardenas

website/docs/observability/opensearch/index.md

@@ -26,6 +26,16 @@ You can view the Terraform that applies these changes [here](https://github.com/
 
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-In this lab, we will explore the use of [OpenSearch](https://opensearch.org/about.html) for observability. OpenSearch is a community-driven, open-source search and analytics suite used to ingest, search, visualize and analyze data. OpenSearch consists of a data store and search engine (OpenSearch), a visualization and user interface (OpenSearch Dashboards), and a server-side data collector (Data Prepper). We will be using [Amazon OpenSearch Service](https://aws.amazon.com/opensearch-service/), which is a managed service that makes it easy for you to perform interactive log analytics, real-time application monitoring, search, and more.
+The proposed observability strategy for this module lies the utilization of [OpenSearch](https://opensearch.org/about.html), a powerful community-driven, and scalable open-source search and analytics engine, and the Observability Pyramid (Logs, Metrics, Traces) framework. This strategy provides a starting point for participants to think about how to approach observability in their organizations.
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+The strategy begins with a focus on centralized logging, where all logs from the various EKS components (including worker nodes, control plane and containers), and application metrics and traceability are ingested into an OpenSearch cluster **(metrics and traces will be added in a future release)**. This allows for comprehensive log aggregation and tracing, enabling participants to leverage OpenSearch's robust search and analytics capabilities to gain visibility into system-wide events and identify potential issues.
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+Underpinning the technical aspects of this strategy is a focus on cultivating an observability-driven culture. By involving cross-functional teams, including developers, site reliability engineers (SREs), and DevOps professionals, in the adoption and maintenance of the OpenSearch-based observability solution, the participants can foster a collaborative environment where data-driven problem-solving and continuous improvement become the norm.
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+Now let's talk a little bit about [OpenSearch](https://opensearch.org/about.html). OpenSearch consists of a data store and search engine (OpenSearch), a visualization and user interface (OpenSearch Dashboards), and a server-side data collector (Data Prepper). We will be using [Amazon OpenSearch Service](https://aws.amazon.com/opensearch-service/), which is a managed service that makes it easy for you to perform interactive log analytics, real-time application monitoring, search, and more.
 
 Kubernetes events, control plane logs and pod logs are exported from Amazon EKS to Amazon OpenSearch Service to demonstrate how the two Amazon services can be used together to improve observability.
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+:::info
+You can find more information related to the Observability Pyramid (Logs, Metrics, Traces) framework in the book ["Observability Engineering" by Charity Majors et al](https://www.amazon.com/Observability-Engineering-Achieving-Production-Excellence/dp/1492076449)
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