Amazon OpenSearch Serverless

概要

Amazon OpenSearch Serverlessは、OpenSearch 向けのオンデマンドのサーバーレスコンフィギュレーションで、大量のデータのクエリと分析が簡単に行えるようになります。OpenSearch Serverless コレクションは、自己管理型クラスターと同じメリットを提供し、コンフィギュレーションとチューニングが複雑化することもありません。

ベクトル検索コレクションは、機械学習 (ML) および人工知能 (AI) アプリケーションで高性能な類似検索を実現するために特別に設計されており、Bedrock 上でナレッジベースを自動的に作成するために使用することができます。

セットアップ

インストール

Amazon Web Services インテグレーションをまだセットアップしていない場合は、最初にセットアップします。

構成

  1. AWS インテグレーションページで、Metric Collection タブの下にある OpenSearch Serverless が有効になっていることを確認します。
  2. Datadog - Amazon OpenSearch Serverless インテグレーションをインストールします。

収集データ

メトリクス

aws.aoss.2xx
(count)
The number of 2XX requests to the collection.
Shown as request
aws.aoss.3xx
(count)
The number of 3XX requests to the collection.
Shown as request
aws.aoss.4xx
(count)
The number of 4XX requests to the collection.
Shown as request
aws.aoss.5xx
(count)
The number of 5XX requests to the collection.
Shown as request
aws.aoss.active_collection
(gauge)
Indicates whether a collection is active. A value of 1 means that the collection is in an ACTIVE state. This value is emitted upon successful creation of a collection and remains 1 until you delete the collection. The metric can't have a value of 0.
aws.aoss.deleted_documents
(count)
The total number of deleted documents.
aws.aoss.indexing_ocu
(count)
The number of OpenSearch Compute Units (OCUs) used to ingest collection data. This metric applies at the account level.
aws.aoss.ingestion_data_rate
(rate)
The indexing rate in GiB per second to a collection or index. This metric only applies to bulk indexing requests.
Shown as gibibyte
aws.aoss.ingestion_document_errors
(count)
The total number of document errors during ingestion for a collection or index. After a successful bulk indexing request, writers process the request and emit errors for all failed documents within the request.
Shown as error
aws.aoss.ingestion_document_rate
(rate)
The rate per second at which documents are being ingested to a collection or index. This metric only applies to bulk indexing requests.
aws.aoss.ingestion_request_errors
(count)
The total number of bulk indexing request errors to a collection. OpenSearch Serverless emits this metric when a bulk indexing request fails for any reason, such as an authentication or availability issue.
Shown as error
aws.aoss.ingestion_request_latency
(gauge)
The latency, in seconds, for bulk write operations to a collection.
Shown as second
aws.aoss.ingestion_request_rate
(count)
The total number of bulk write operations received by a collection.
Shown as operation
aws.aoss.ingestion_request_success
(count)
The total number of successful indexing operations to a collection.
Shown as operation
aws.aoss.search_ocu
(count)
The number of OpenSearch Compute Units (OCUs) used to search collection data. This metric applies at the account level.
aws.aoss.search_request_errors
(count)
The total number of query errors for a collection.
Shown as error
aws.aoss.search_request_latency
(gauge)
The average time, in milliseconds, that it takes to complete a search operation against a collection.
Shown as millisecond
aws.aoss.search_request_rate
(rate)
The total number of search requests per minute to a collection.
aws.aoss.searchable_documents
(count)
The total number of searchable documents in a collection or index.
aws.aoss.storage_used_in_s3
(gauge)
The amount, in bytes, of Amazon S3 storage used for indexed data.
Shown as byte

サービスチェック

Amazon OpenSearch Serverless には、サービスのチェック機能は含まれません。

イベント

Amazon OpenSearch Serverless には、イベントは含まれません。

トラブルシューティング

ご不明な点は、Datadog のサポートチームまでお問い合わせください。

PREVIEWING: rtrieu/product-analytics-ui-changes