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Amazon Transcribe monitoring integration

New Relic infrastructure integrations include an integration for Amazon Transcribe that reports your Transcribe metrics to New Relic.

Features

With this integration, collect and send telemetry data to New Relic from your Amazon Transcribe service. Monitor your services, query incoming data, and build dashboards to observe everything at a glance.

Activate integration

To enable this integration, see how to connect AWS services to New Relic.

Find and use data

Data from this integration is attached to the Metric data type. To find this data in the UI: Go to one.newrelic.com > All capabilities > Metrics and events and filter for aws.transcribe.

Metric data

This New Relic infrastructure integration collects the following Amazon Transcribe data:

Metric (min, max, average, count, sum)

Unit

Description

TotalRequestCount

count

The number of transactions.

SuccessfulRequestCount

count

The number of successful requests.

SyncServerErrorCount

count

The number of server errors.

SyncUserErrorCount

count

The number of user errors, such as parameters, files, permissions that aren't valid, and throttling errors.

ThrottledCount

count

The number of requests that return a LimitExceededException resulting from an exceeded transaction rate quota.

LimitExceededCount

count

The number of requests that return a LimitExceededException resulting from an exceeded non-rate quota.

AsyncUserErrorCount

count

The number of asynchronous (backend) user errors, such as: given audio format does not match that detected, invalid sample rate, or customer Amazon S3 access error.

AsyncServerErrorCount

count

The number of asynchronous (backend) server errors or, more specifically, automatic speech recognition (ASR) processing errors.

AudioDurationTime

count

The length, in seconds, of an audio or video file.

All imported data has these dimensions: Domain, ServiceType, Operation and LanguageCode.

Tips on using your data

You can create to notify you of any developing changes. For example, an alert can be set up to notify relevant parties of critical or fatal errors. Learn more about creating alerts.

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