It is an extensible cloud-based platform that enables developers to build scalable media management and delivery applications. For example – if we want to develop an app like DailyMotion, then we can do so by using Microsoft Azure media services.

Azure media services are based on REST APIs that enable us to securely upload, store, encode, and wrap video or audio content for both on-demand and live stream delivery to various clients. Those clients can be TV, PC, and mobile devices also.

Media Services Concepts

Assets: An Asset contains digital files and the metadata about these files. These files can be audio, video or image, etc.
AssetFile: It contains metadata about the media file.
AccessPolicy: It defines the permission and duration of access to an asset.
Locators: It provides an entry point to access the files contained in an asset.
Job: It is used to process one audio/video presentation.
Channels: It is responsible for processing live streaming content. It provides an input endpoint that is provided to a live transcoder.
Program: It enables us to control the publishing and storage of segments in a live stream.
Streaming endpoint: It represents a streaming service that delivers content.

The architecture of Media Service

Delivering on-demand: In this case, first, we will upload a high-quality media file into an asset, and then we encode it to a set of adaptive bit that reads MP4 files. After that, we configure the asset delivery policy. Asset delivery policy tells Media services how we want our assets to be delivered using which protocol. Now, we will publish an asset by creating an on-demand locator and stream the published content.

Live-Streaming: We can broadcast live content using various live streaming protocols. We might go to encode our stream into an adoptive bit read stream. We can preview our live stream also. Finally, we can deliver the content through common streaming protocols such as Smooth, HLS, etc.

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Azure Search

Azure Search is a cloud Search as a Service that enables us to add a robust search experience to our applications using a simple REST API or .NET SDK, without managing a search infrastructure.

Features of Azure Search

Powerful queries
Multi-language support
Search suggestions
Hit highlighting
Faceted Navigation

Above are the different features associated with Azure search. In case if we want to have a cloud-based search engine that we can embed in our web application. Azure offers a service called Azure Search.

Azure Database service

The basic fundamental building block that is available in Azure is the SQL database. Microsoft offers this SQL server and SQL database on Azure in many ways. We can deploy a single database, or we can deploy multiple databases as part of a shared elastic pool.

Azure Database Service Architecture

Microsoft introduced a managed instance that is targeted towards on-premises customers. So, if we have some SQL databases within our on-premises datacentre and we want to migrate that database into Azure without any complex configuration, or ambiguity, then we can use managed instance. Because this is mainly targeted towards on-premises customers who want to lift and share their on-premises database into Azure with the least effort and optimized cost. We can also take advantage of licensing we have within our on-premises data center.

Microsoft will be responsible for maintenance patching and related services. But, in case if we want to go for the IaaS service for the SQL server, then we can deploy SQL Server on the Azure Virtual machine. If the data have a dependency on the underlying platform and we want to log into the SQL Server, in that case, we can use the SQL server on a virtual machine.

We can deploy a SQL data warehouse on the cloud. Azure offers many other database services for different types of databases such as MySQL, Maria DB, and also PostgreSQL. Once we deployed a database into Azure, we need to migrate the data into it or replicate the data into it.

Azure Database Services for Data Migration

The services that are available in Azure, which we can use to migrate the data from our on-premises SQL Server into Azure.

Azure Data Migration Service: It is used to migrate the data from our existing SQL server and database within the on-premises data center into Azure.

Azure SQL data sync: If we want to replicate the data from our on-premises database into Azure, then we can use Azure SQL data sync.

SQL Stretch Database: It is used to migrate cold data into Azure. SQL stretch database is a bit different from other database offerings. It works as a hybrid database because it divides the data into different types – hot and cold. A hot data will be kept in the on-premises data center and cold data in the Azure.

Data Factory

It is used for ETL transformation, extraction loading, etc. Using the data factory, we can even extract the data from our on-premises data center. We can do some conversion and load it into the Azure SQL database. Data Factory is an ETL tool that is offered on the cloud, which we can use to connect to different databases, extract the data, transform it, and load into a destination.

Security

All the databases that are existing in Azure need to be secured, and also we need to accept connections from known origins. For this purpose, all these database services come with firewall rules where we can configure from which particular IP address we want to allow connections. We can define those firewall rules to limit the number of connections and also reduce the surface attack area.

Cosmos DB

Cosmos DB is a NoSQL data store that is available in Azure, and it is designed to be globally scalable and also very highly available with extremely low latency. Microsoft guarantees latency in terms of reading and writes with Cosmos DB. For example – if we have any applications such as IoT, gaming where we get a lot of data from different users spread across globally, then we will go for Cosmos DB. Because Cosmos DB is designed to be globally scalable and highly available due to which our users will experience low latency.

Finally, there are two things, and one is we need to secure all the services. For that purpose, we can integrate all these services with Azure Active Directory and manage the users from Azure Active Directory also. To monitor all these services, we can use the security center. There is an individual monitoring tool too, but Azure security center will keep on monitoring all these services and provide recommendations if something is wrong.

So, this brings us to the end of blog. This Tecklearn ‘Azure Media Service and Database Service’ blog helps you with commonly asked questions if you are looking out for a job in Azure and Cloud Computing. If you wish to learn Microsoft Azure and build a career in Cloud Computing domain, then check out our interactive, Microsoft Azure Developer and Administrator Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

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Introduction to Azure Compute Solutions and Cloud Computing

Introduction to Microsoft Azure
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