Configure Language service docker containers
Language service provides each container with a common configuration framework, so that you can easily configure and manage storage, logging and telemetry, and security settings for your containers. This article applies to the following containers:
- Sentiment Analysis
- Language Detection
- Key Phrase Extraction
- Text Analytics for Health
- Summarization
- Named Entity Recognition (NER)
- Personally Identifiable (PII) detection
- Conversational Language Understanding (CLU)
Configuration settings
The container has the following configuration settings:
| Required | Setting | Purpose |
|---|---|---|
| Yes | ApiKey | Tracks billing information. |
| No | ApplicationInsights | Enables adding Azure Application Insights telemetry support to your container. |
| Yes | Billing | Specifies the endpoint URI of the service resource on Azure. |
| Yes | Eula | Indicates that you've accepted the license for the container. |
| No | Fluentd | Writes log and, optionally, metric data to a Fluentd server. |
| No | HTTP Proxy | Configures an HTTP proxy for making outbound requests. |
| No | Logging | Provides ASP.NET Core logging support for your container. |
| No | Mounts | Reads and writes data from the host computer to the container and from the container back to the host computer. |
Important
The ApiKey, Billing, and Eula settings are used together, and you must provide valid values for all three of them; otherwise your container won't start.
ApiKey configuration setting
The ApiKey setting specifies the Azure resource key used to track billing information for the container. You must specify a value for the key and it must be a valid key for the Language resource specified for the Billing configuration setting.
ApplicationInsights setting
The ApplicationInsights setting allows you to add Azure Application Insights telemetry support to your container. Application Insights provides in-depth monitoring of your container. You can easily monitor your container for availability, performance, and usage. You can also quickly identify and diagnose errors in your container.
The following table describes the configuration settings supported under the ApplicationInsights section.
| Required | Name | Data type | Description |
|---|---|---|---|
| No | InstrumentationKey |
String | The instrumentation key of the Application Insights instance to which telemetry data for the container is sent. For more information, see Application Insights for ASP.NET Core. Example: InstrumentationKey=123456789 |
Billing configuration setting
The Billing setting specifies the endpoint URI of the Language resource on Azure used to meter billing information for the container. You must specify a value for this configuration setting, and the value must be a valid endpoint URI for a Language resource on Azure. The container reports usage about every 10 to 15 minutes.
| Required | Name | Data type | Description |
|---|---|---|---|
| Yes | Billing |
String | Billing endpoint URI. |
EULA setting
The Eula setting indicates that you've accepted the license for the container. You must specify a value for this configuration setting, and the value must be set to accept.
| Required | Name | Data type | Description |
|---|---|---|---|
| Yes | Eula |
String | License acceptance Example: Eula=accept |
Azure AI services containers are licensed under your agreement governing your use of Azure. If you do not have an existing agreement governing your use of Azure, you agree that your agreement governing use of Azure is the Microsoft Online Subscription Agreement, which incorporates the Online Services Terms. For previews, you also agree to the Supplemental Terms of Use for Microsoft Azure Previews. By using the container you agree to these terms.
Fluentd settings
Fluentd is an open-source data collector for unified logging. The Fluentd settings manage the container's connection to a Fluentd server. The container includes a Fluentd logging provider, which allows your container to write logs and, optionally, metric data to a Fluentd server.
The following table describes the configuration settings supported under the Fluentd section.
| Name | Data type | Description |
|---|---|---|
Host |
String | The IP address or DNS host name of the Fluentd server. |
Port |
Integer | The port of the Fluentd server. The default value is 24224. |
HeartbeatMs |
Integer | The heartbeat interval, in milliseconds. If no event traffic has been sent before this interval expires, a heartbeat is sent to the Fluentd server. The default value is 60000 milliseconds (1 minute). |
SendBufferSize |
Integer | The network buffer space, in bytes, allocated for send operations. The default value is 32768 bytes (32 kilobytes). |
TlsConnectionEstablishmentTimeoutMs |
Integer | The timeout, in milliseconds, to establish a SSL/TLS connection with the Fluentd server. The default value is 10000 milliseconds (10 seconds). If UseTLS is set to false, this value is ignored. |
UseTLS |
Boolean | Indicates whether the container should use SSL/TLS for communicating with the Fluentd server. The default value is false. |
Http proxy credentials settings
If you need to configure an HTTP proxy for making outbound requests, use these two arguments:
| Name | Data type | Description |
|---|---|---|
| HTTP_PROXY | string | The proxy to use, for example, http://proxy:8888<proxy-url> |
| HTTP_PROXY_CREDS | string | Any credentials needed to authenticate against the proxy, for example, username:password. This value must be in lower-case. |
<proxy-user> |
string | The user for the proxy. |
<proxy-password> |
string | The password associated with <proxy-user> for the proxy. |
docker run --rm -it -p 5000:5000 \
--memory 2g --cpus 1 \
--mount type=bind,src=/home/azureuser/output,target=/output \
<registry-location>/<image-name> \
Eula=accept \
Billing=<endpoint> \
ApiKey=<api-key> \
HTTP_PROXY=<proxy-url> \
HTTP_PROXY_CREDS=<proxy-user>:<proxy-password> \
Logging settings
The Logging settings manage ASP.NET Core logging support for your container. You can use the same configuration settings and values for your container that you use for an ASP.NET Core application.
The following logging providers are supported by the container:
| Provider | Purpose |
|---|---|
| Console | The ASP.NET Core Console logging provider. All of the ASP.NET Core configuration settings and default values for this logging provider are supported. |
| Debug | The ASP.NET Core Debug logging provider. All of the ASP.NET Core configuration settings and default values for this logging provider are supported. |
| Disk | The JSON logging provider. This logging provider writes log data to the output mount. |
This container command stores logging information in the JSON format to the output mount:
docker run --rm -it -p 5000:5000 \
--memory 2g --cpus 1 \
--mount type=bind,src=/home/azureuser/output,target=/output \
<registry-location>/<image-name> \
Eula=accept \
Billing=<endpoint> \
ApiKey=<api-key> \
Logging:Disk:Format=json \
Mounts:Output=/output
This container command shows debugging information, prefixed with dbug, while the container is running:
docker run --rm -it -p 5000:5000 \
--memory 2g --cpus 1 \
<registry-location>/<image-name> \
Eula=accept \
Billing=<endpoint> \
ApiKey=<api-key> \
Logging:Console:LogLevel:Default=Debug
Disk logging
The Disk logging provider supports the following configuration settings:
| Name | Data type | Description |
|---|---|---|
Format |
String | The output format for log files. Note: This value must be set to json to enable the logging provider. If this value is specified without also specifying an output mount while instantiating a container, an error occurs. |
MaxFileSize |
Integer | The maximum size, in megabytes (MB), of a log file. When the size of the current log file meets or exceeds this value, a new log file is started by the logging provider. If -1 is specified, the size of the log file is limited only by the maximum file size, if any, for the output mount. The default value is 1. |
For more information about configuring ASP.NET Core logging support, see Settings file configuration.
Mount settings
Use bind mounts to read and write data to and from the container. You can specify an input mount or output mount by specifying the --mount option in the docker run command.
The Language service containers don't use input or output mounts to store training or service data.
The exact syntax of the host mount location varies depending on the host operating system. The host computer's mount location may not be accessible due to a conflict between the docker service account permissions and the host mount location permissions.
| Optional | Name | Data type | Description |
|---|---|---|---|
| Not allowed | Input |
String | Language service containers don't use this. |
| Optional | Output |
String | The target of the output mount. The default value is /output. This is the location of the logs. This includes container logs. Example: --mount type=bind,src=c:\output,target=/output |
Next steps
- Use more Azure AI containers