Review comments

Signed-off-by: Fanit Kolchina <[email protected]>

_posts/2024-12-20-OpenSearch-Simplified-The-Power-of-Application-Based-Templates.markdown

@@ -11,9 +11,9 @@ meta_keywords:
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-OpenSearch supports a wide variety of use cases---such as logs, metrics, traces, website search, and vectors---and enables you to build solutions for various applications based on your use case. As the use cases for OpenSearch continue to grow, managing indexes and configuring them with the right settings can become a daunting task, both for experienced and new users. OpenSearch provides numerous settings to fine-tune indexes for various performance and usability dimensions, such as throughput, latency, and disk utilization. However, for new users, finding the optimal configuration often requires extensive experimentation and developer effort, creating friction during the onboarding process. As new features are developed and released, experienced users of OpenSearch may overlook them as well.
+OpenSearch supports a wide variety of use cases---such as [logs](https://opensearch.org/docs/latest/install-and-configure/configuring-opensearch/logs/), [metrics](https://opensearch.org/docs/latest/monitoring-your-cluster/metrics/getting-started/), [traces](https://opensearch.org/docs/latest/data-prepper/common-use-cases/trace-analytics/), [website search](https://opensearch.org/docs/latest/search-plugins/), and [vectors](https://opensearch.org/docs/latest/search-plugins/vector-search/)---and enables you to build solutions for various applications based on your use case. As the use cases for OpenSearch continue to grow, managing indexes and configuring them with the right settings can become a daunting task, both for experienced and new users. OpenSearch provides numerous settings to fine-tune indexes for various performance and usability dimensions, such as throughput, latency, and disk utilization. However, for new users, finding the optimal configuration often requires extensive experimentation and developer effort, creating friction during the onboarding process. As new features are developed and released, experienced users of OpenSearch may overlook them as well.
 
-To address this challenge, OpenSearch 2.17 introduced the concept of _Application-Based Configuration (ABC) templates_ as an experimental feature. This feature allows you to easily configure your indexes based on your specific use case, reducing the need for manual updating while promoting a seamless onboarding experience and managing the lifecycle of the index and its settings and mappings as new features are introduced.
+To address this challenge, [OpenSearch 2.17](https://opensearch.org/blog/introducing-opensearch-2-17/) introduced the concept of _Application-Based Configuration (ABC) templates_ as an experimental feature. This feature allows you to easily configure your indexes based on your specific use case, reducing the need for manual updating while promoting a seamless onboarding experience and managing the lifecycle of the index and its settings and mappings as new features are introduced.
 
 
 ## What are ABC templates?