In this video, we are going to explain what is serverless with the operational responsibility model.
When we talk about the service, the best way to explain what service is looking to add is operational
responsibility models.
You can think this is a spectrum about responsible to level of aid services.
If you look at the image and if you look at the horizontal way, we can see the traditional on premises
machines, virtual machines, bare metals, hardware devices.
At the beginning of the image you can see in here here the on premises and these are the on premise
machines, virtual machines, base metals, hardware device and so on.
And if you go to the right hand side, you can see the cloud infrastructure, which includes many services
that manage application services on the cloud.
And if you go to last of the right hand side, you can reach the fully serverless services that we don't
any responsible about servers, pages, updates, and also not consider about scaling, reliability
and availability and so on.
And if you look at the vertical way, you can see the separation of the services, compute database
storage message and application integrations, analytics.
And we can also put here API management for Amazon API Gateway.
So these are the services by grouping for a place that we mostly use when developing enterprise level
applications, we can also see this kind of grouping at a the Willis website.
If you open the list at Amazon.com, you can see the product section.
If you see the products, we can see the grouping, the services in here, for example, application
integration including SAP functions, event page, SAS and case.
And also we have complete services which is the Amazon easy to Lambda functions and so on.
So you can see containers, databases, these are the grouping of the services by that Amazon.com.
So according to this grouping, ADA will service evolve by time.
And now in the service part, they have very great services which you don't consider any server management
and scalability issue you can see in here under the service group we have lots of server services that
we don't consider any server management and any scalability availability issues.
So if you look at the services in the service part, you can see in this line.
So basically in the compute part, we will use a Lambda database, we have a standard DB for NoSQL and
also we have our serverless DB for the ERTMS database and we have Amazon S3 for cloud storage and we
have messaging services for application integration, part SAS excuse and event bridge.
And all analytics we have is on alternate.
And also we have API management for Amazon API Gateway.
So we will use lots of these services during the course.
By this video, you have an overall picture of the service services.