Deploy Cognitive Services In Containers Flashcards
Container is unable due to host AZ cognitive services either on-premises or on a Z4 stop for sample if your application use a sensitive data in an on-premises sqlserver to call a cognitive service you can deploy cognitive services in containers on the same network.
Now your daughter can stay on your local network and not be passed to the cloud full-stop deploying cognitive services in a container on premises will also decrease the latency between the service and your local data which can improve performance
Understand containers:
When you deploy a software service it must be hosted in an environment that provides the hardware operating system and support runtime components on which the service depends.
Az cognitive services is provided as a Cloud service in which the server software is hosted in an easy data centre that provides the underlying runtime services operating system and hardware.
However you can also deploy some cognitive services in a container which encapsulates the necessary runtime components and which is intern deployed to a container host that provides the underlying operating system and hardware
What is a container questionmark
A container comprises and application of service and the runtime components needed to run it while extracting the underlying operating system and hardware. In practices obstruction results into significant benefits:
Containers of water bill across hosts which may be running different operating systems or use different hardware of making it easier to move an application and all its dependencies.
A single container host can support multiple isolated containers each with its own specific runtime configuration making it easy to consolidate multiple applications that have different configuration requirements.
A container is encapsulated in a container image that defines the software and configuration it must support images can be stored in a central registry data such as a docker hub or you can maintain a set of images in your own registry
Container deployment:
To use a container you typically for the container image from the registry and deployed to a container host specifying any required configuration settings.
The container host can be in the Cloud in a private network or on your local computer for example:
A docker server new line and a sea container instance (aci)
And AZ kubernetes service (EK as) cluster.
Darker is an open source solution for container development and management that includes a server engine that you can use to host containers will stop there are versions of the docker server for common operating systems including Microsoft Windows and Linux.
Use cognitive services containers kola
They are container images for AZ cognitive services in the Microsoft container registry that you can use to deploy a containerized service that encapsulates and individual cognitive service API
To deploy and use a cognitive services container the following three activities must occur:
The container image for the specific cognitive services API you want to use his downloaded and deployed to a container host such as a docker server and a sea container instance or AZ kubernetes service.
Client application submit data to the Endpoint provided by a containerized service and retrieve results just as they would from a cognitive services cloud resource in a z.
Periodically usage metrics for the containerized service are sent to a cognitive services resource in AZ in order to calculate building for the service
Even when using a container you must provision a cognitive services resource in AZ for Billing purposes.
Client application send their request to the containerized service meaning that potentially sensitive data is not sent to the cognitive services in point in AZ; but the container must be able to connect to the cognitive services resource in AZ periodically to send usage metrics for Billing
Cognitive services container images:
Each container provides a subset of cognitive services functionality. For example not all features of the language service on a single container. Language detection translation and sentiment analysis so it’s separate container images. However the setup steps are similar for each container.
For the language service each of the three core features maps to a separate image:
Beaches
Keyphrase extraction
Language detection
Sentiment analysis version 3 English
Note: sentiment analysis supports other languages by replacing the n and the image with the correct language code.
You can use the docker pull command to download container images to work with them directly from your machine. Some of the containers are in a gated public preview state and you need to explicitly request access to use them. Otherwise these containers are available for anyone to use with the AZ cognitive services deployment.
Cognitive services container configuration file on new line when you deploy a cognitive services container image to a host you must specify three things.
Settings
API key
Billing
Eula
ABI ki Kalonji from your deployed AZ cognitive serviced used for billing
Billing
Endpoint URL from your deployed AZ cognitive service used for Billing
Eula: value of accept Estate except the licence for the container
Consuming cognitive services from a container:
After your cognitive services container is deployed applications consumed of containerized cognitive services in point rather than the default azn point.
The client application must be configured with the appropriate in point for your container but does not need to provide a subscription fee to be authenticated.
You can implement your own authentication solution and apply network security restrictions as appropriate for your specific application scenario
