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Overview
Amazon Bedrock is a fully managed service that makes foundation models (FMs) from Amazon and leading AI
startups available through an API, so you can choose from various FMs to find the model that’s best
suited for your use case.
Enable this integration to see all your Bedrock metrics in Datadog.
Setup
Installation
If you haven’t already, set up the Amazon Web Services integration first.
Metric collection
- In the AWS integration page, ensure that
Bedrock is enabled under the Metric Collection tab. - Install the Datadog - Amazon Bedrock integration.
Data Collected
Metrics
aws.bedrock.content_filtered_count
(count) | The total number of times the text output content was filtered.
Shown as time |
aws.bedrock.input_token_count
(gauge) | The average number of input tokens used in prompts invoked for a model.
Shown as token |
aws.bedrock.input_token_count.maximum
(gauge) | The maximum number of input tokens used in prompts invoked for a model.
Shown as token |
aws.bedrock.input_token_count.minimum
(gauge) | The minimum number of input tokens used in prompts invoked for a model.
Shown as token |
aws.bedrock.input_token_count.sum
(count) | The total number of input tokens used in prompts invoked for a model.
Shown as token |
aws.bedrock.invocation_client_errors
(count) | The number of client invocation errors.
Shown as error |
aws.bedrock.invocation_latency
(gauge) | Average latency of the invocations in milliseconds.
Shown as millisecond |
aws.bedrock.invocation_latency.maximum
(gauge) | The maximum invocation latency over a 1 minute period.
Shown as millisecond |
aws.bedrock.invocation_latency.minimum
(gauge) | The minimum invocation latency over a 1 minute period.
Shown as millisecond |
aws.bedrock.invocation_latency.p90
(gauge) | The 90th percentile of invocation latency over a 1 minute period.
Shown as millisecond |
aws.bedrock.invocation_latency.p95
(gauge) | The 95th percentile of invocation latency over a 1 minute period.
Shown as millisecond |
aws.bedrock.invocation_latency.p99
(gauge) | The 99th percentile of invocation latency over a 1 minute period.
Shown as millisecond |
aws.bedrock.invocation_server_errors
(count) | The number of server invocation errors.
Shown as error |
aws.bedrock.invocation_throttles
(count) | The number of invocation throttles.
Shown as throttle |
aws.bedrock.invocations
(count) | The number of invocations sent to a model endpoint.
Shown as invocation |
aws.bedrock.output_image_count
(gauge) | The average number of output images returned by model invocations over a 1 minute period.
Shown as item |
aws.bedrock.output_token_count
(gauge) | The average number of output tokens returned by model invocations over a 1 minute period.
Shown as token |
aws.bedrock.output_token_count.maximum
(gauge) | The maximum number of output tokens returned by model invocations over a 1 minute period.
Shown as token |
aws.bedrock.output_token_count.minimum
(gauge) | The minimum number of output tokens returned by model invocations over a 1 minute period.
Shown as token |
aws.bedrock.output_token_count.sum
(count) | The total number of output tokens returned by all model invocations.
Shown as token |
Events
The Amazon Bedrock integration does not include any events.
Service Checks
The Amazon Bedrock integration does not include any service checks.
Troubleshooting
Need help? Contact Datadog support.
Further Reading
Additional helpful documentation, links, and articles:
