Amazon OpenSearch Serverless
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Amazon OpenSearch Serverless is an on-demand serverless configuration for OpenSearch, providing an easy way to query and analyze large volumes of data. OpenSearch Serverless collections provide the same benefits as self-managed clusters, without the added complexity of configuration and tuning.
Vector search collections are specifically designed for high-performance similarity searches in machine learning (ML) and artificial intelligence (AI) applications, and can be used to automatically create knowledge bases on Bedrock.
Setup
Installation
If you haven’t already, set up the Amazon Web Services integration first.
Configuration
- In the AWS integration page, ensure that OpenSearch Serverless is enabled under the Metric Collection tab.
- Install the Datadog - Amazon OpenSearch Serverless integration.
Data Collected
Metrics
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 |
Service Checks
Amazon OpenSearch Serverless does not include any service checks.
Events
Amazon OpenSearch Serverless does not include any events.
Troubleshooting
Need help? Contact Datadog support.
