Welcome to the last exam cram of the course, and this one includes migration, machine learning
and a few other services as well.
So let's start off with the Migration Hub.
This provides a single location to track the progress of your application migrations.
We then have the different services.
So we have Data Migration Service.
This is a service for migrating databases to AWS.
The source database will remain fully operational during the migration
so you can minimize downtime.
And that means you do a final sync and then you cut over and that means the least downtime possible.
Server Migration Service is about migrating your physical or virtual servers to virtual machines
on Amazon EC2.
It provides an agentless service which makes it easy to transfer your on-premises workloads to AWS.
You can automate, schedule and track incremental replications.
Then we have DataSync. This is a data transfer service.
You can transfer your data between on-premises storage systems and AWS services.
Then we have the Snowball family.
Snowball and Snowmobile are used for migrating very large volumes of data to AWS.
You have the edge compute optimized.
This provides block and object storage and optionally a GPU, a graphics processing unit.
And this is good for Edge computing use cases where you need to do some computing out somewhere at
what we call the Edge.
So that's closer to perhaps where your machinery is or where your users are.
We have the Snowball Edge Storage Optimized, which provides block storage and S3 compatible object
storage and that's used for local storage and large scale data transfer.
And then we have the Snowcone, which is a small device also for Edge computing, storage
and data transfer.
Snowcone can transfer data offline or online with the DataSync agent.
Now continuing, the Snowball family uses a secure storage device for physical transportation.
The Snowball has 80 terabytes or 50 terabytes, and we call this petabyte scale.
But you'd need multiple devices to actually get a petabyte of data.
Then we have the Snowball Edge, which is a bit larger and also what we call petabytes scale, or at
least this is what AWS call it.
So watch out for those terms because these are terms they use.
And then you have the Snowmobile and we call this exabyte scale.
You have up to 100 petabytes per Snowmobile.
Then we have the service called AWS Rekognition.
So now we're getting into some of these machine learning services.
This adds image and video analysis to your applications.
It can identify objects, people, text, scenes and activities in images and videos.
Transcribe adds speech to text capabilities applications.
So a recorded speech can be converted to text before it can be used in applications.
Translate is a neural machine translation service that delivers fast, high quality and affordable
language translation.
So you might want to use it to localize content on your websites for different uses.
SageMaker helps data scientists to prepare, build, train and deploy high quality machine learning models.
Then we have Comprehend.
This is a natural language processing service.
It uses machine learning to uncover information in unstructured data.
Amazon Lex is a conversational artificial intelligence for chatbots.
It allows you to build conversational interfaces into applications using voice and text.
Polly turns text into lifelike speech so you can create applications that talk.
Workspaces is a managed Desktop-as-a-Service solution.
And this is a service that's seen massive growth over the last year or so with the pandemic.
So Workspaces had a 94 percent increase in utilization in 2020.
You can provision either Windows or Linux desktops.
AppStream 2.0 is a fully managed non-persistent application streaming service.
Rather than streaming your desktop, you're streaming an application down to a device.
It's an alternative to products such as Citrix XenApp.
AWS Worklink provides secure one click access to your internal websites and web apps from mobile
phone browsers, and it doesn't require a VPN client or application to achieve that.
AWS WorkDocs is a fully managed, secure content creation, storage and collaboration service.
So you can create, edit and share content that's stored on AWS.
And lastly, we have the AWS IoT Core service.
This lets you connect your Internet of Things devices to the cloud.
So devices such as sensors that might be Internet enabled, your car might be Internet enabled, maybe
your fridge or your smart home.
And that means that you can then connect those devices to the cloud and they can share data on you
as a managed service.
You don't need to provision or manage any service here.
So that's it for the migration machine learning and more exam cram.