Amazon Interactive Video Service LAB

1. Create an IVS Channel

• Navigate to the IVS console:
  In the AWS Management Console, search for "IVS" and select the Interactive Video Service.
• Create a channel: Click on "Create channel".
• Name your channel: Give your channel a unique name.
• Choose a playback policy: Select the desired playback policy (e.g., public, private).
• Create the channel: Click on "Create channel".

creating an IVS channel

2. Create a Player

• Create a player: Click on "Create player".
• Name your player: Give your player a unique name.
• Choose a playback policy: Select the desired playback policy.
• Create the player: Click on "Create player".

creating an IVS player

3. Integrate with Your Application

• Integrate with your application: Use the IVS SDKs or the IVS API to integrate your application with the channel and player.

4. Start a Live Stream

• Start a live stream: Use the IVS API to start a live stream to your channel.

5. Embed the Player

• Embed the player: Embed the player in your web application or mobile app.

6. Add Interactive Features

• Add features: Use the IVS API to add interactive features like chat, polling, and audience engagement to your live stream.

Elastic Transcoder LAB

 

1. Create a Pipeline

• Navigate to the Elastic Transcoder console: In the AWS Management Console, search for "Elastic Transcoder" and select the Elastic Transcoder service.
• Create a pipeline: Click on "Create pipeline".
• Name your pipeline: Give your pipeline a unique name.
• Choose a role: Select the IAM role that has the necessary permissions to access your S3 buckets.
• Create the pipeline: Click on "Create pipeline".

creating an Elastic Transcoder pipeline

2. Create an Input Preset

• Create an input preset: Click on "Create input preset".
• Name your input preset: Give your input preset a unique name.
• Configure input settings: Specify the input settings, such as the container format and resolution.
• Create the input preset: Click on "Create input preset".

creating an Elastic Transcoder input preset

3. Create an Output Preset

• Create an output preset: Click on "Create output preset".
• Name your output preset: Give your output preset a unique name.
• Configure output settings: Specify the output settings, such as the container format, resolution, and bitrate.
• Create the output preset: Click on "Create output preset".

creating an Elastic Transcoder output preset

4. Create a Job

• Create a job: Click on "Create job".
• Choose a pipeline: Select the pipeline you created.
• Choose an input preset: Select the input preset you created.
• Choose an output preset: Select the output preset you created.
• Specify input and output locations: Specify the S3 buckets where your input and output files are located.
• Create the job: Click on "Create job".

creating an Elastic Transcoder job

5. Monitor Job Status

• Monitor job status: Use the Elastic Transcoder console to monitor the status of your job.

monitoring an Elastic Transcoder job

6. Download Output Files

• Download files: Once the job is complete, download the output files from the specified S3 bucket.

AWS Deadline Cloud LAB

 

1. Create a Compute Environment

• Navigate to the Deadline console: In the AWS Management Console, search for "Deadline" and select the Deadline service.
• Create a compute environment: Click on "Create compute environment".
• Name your compute environment: Give your compute environment a unique name.
• Choose a compute type: Select the desired compute type (e.g., EC2, Spot, Fargate).
• Configure compute settings: Specify the desired compute settings, such as the instance type, number of instances, and security group.
• Create the compute environment: Click on "Create compute environment".

creating a compute environment in the AWS Deadline console

2. Create a Job Queue

• Create a job queue: Click on "Create job queue".
• Name your job queue: Give your job queue a unique name.
• Choose a compute environment: Select the compute environment you created.
• Create the job queue: Click on "Create job queue".

3. Create a Job

• Create a job: Click on "Create job".
• Name your job: Give your job a unique name.
• Choose a job queue: Select the job queue you created.
• Upload your job script: Upload your job script.
• Create the job: Click on "Create job".

creating a job in the AWS Deadline console

4. Monitor Job Status

• Monitor job status: Use the Deadline console to monitor the status of your job.

monitoring job status in the AWS Deadline console

5. Access Job Results

• Access results: Once the job is complete, you can access the job results.

AWS Migration Hub LAB

 

1. Create a Migration Hub Configuration

• Navigate to the Migration Hub console: In the AWS Management Console, search for "Migration Hub" and select the Migration Hub service.
• Create a configuration: Click on "Create configuration".
• Name your configuration: Give your configuration a unique name.
• Choose a region: Select the region where you want to create the configuration.
• Create the configuration: Click on "Create configuration".

creating a Migration Hub configuration

2. Discover Applications

• Discover applications: Use the AWS Application Discovery Service (ADS) to discover your on-premises applications.

3. Import Applications

• Import applications: Import the discovered applications into Migration Hub.

importing applications into Migration Hub

4. Create a Migration Task

• Create a task: Click on "Create migration task".
• Name your task: Give your task a unique name.
• Choose a migration strategy: Select the desired migration strategy (e.g., rehost, refactor).
• Create the task: Click on "Create task".

creating a migration task in Migration Hub

5. Track Migration Progress

• Track progress: Use the Migration Hub console to track the progress of your migration tasks.

tracking migration progress in Migration Hub

6. Manage Migration Artifacts

• Manage artifacts: Manage the migration artifacts generated by the migration tasks.

AWS Mainframe Modernization LAB

1. Assess Your Mainframe Applications

• Identify applications: Identify the mainframe applications you want to migrate.
• Assess compatibility: Assess the compatibility of your applications with cloud environments.
• Analyze dependencies:
  Identify dependencies between applications and data.

assessing mainframe applications for migration

2. Choose a Migration Strategy

• Select a strategy: Choose a migration strategy based on your application's characteristics and business objectives. Options include rehosting, refactoring, or rebuilding.

selecting a migration strategy for mainframe applications

3. Replicate Data

• Replicate data: Use AWS Database Migration Service (DMS) to replicate your mainframe data to AWS.

replicating mainframe data using AWS DMS

4. Migrate Applications

• Migrate applications: Use AWS Application Migration Service (AMS) to migrate your applications to AWS.

migrating mainframe applications using AWS AMS

5. Refactor Applications (if necessary)

• Refactor: If your applications require refactoring, use AWS tools and services to modernize the code and architecture.

refactoring mainframe applications

6. Test and Validate

• Test applications: Thoroughly test your migrated applications in the AWS environment to ensure they function correctly.
• Validate performance: Validate the performance of your migrated applications to ensure they meet your requirements.

testing and validating migrated mainframe applications

7. Optimize and Monitor

• Optimize: Optimize your migrated applications for performance and cost efficiency.
• Monitor: Continuously monitor the performance and health of your migrated applications.

AWS Application Migration Service LAB

 

AWS Application Migration Service 

AWS Application Migration Service (AMS) is a managed service that helps you migrate your on-premises applications to AWS. It provides tools and automation to simplify the migration process.

1. Launch an Agent

• Launch an agent: Download the AMS agent and install it on your on-premises servers.

downloading the AWS AMS agent

2. Configure the Agent

• Configure the agent: Configure the agent to connect to your AWS account and report application data.

configuring the AWS AMS agent

3. Start the Agent

• Start the agent: Start the AMS agent to begin collecting data.

4. Create a Migration Task

• Create a migration task: Use the AWS Management Console to create a migration task.

creating a migration task in the AWS Application Migration Service console

5. Configure the Migration Task

• Configure settings: Configure the migration task settings, such as the source and target environments.

configuring a migration task in the AWS Application Migration Service console

6. Assess Applications

• Assess applications: AMS will automatically assess your applications for migration suitability.

assessing applications in the AWS Application Migration Service console

7. Create Migration Strategies

• Create strategies: Create migration strategies for each application, specifying the migration approach (e.g., rehost, refactor).

creating migration strategies in the AWS Application Migration Service console

8. Migrate Applications

• Migrate applications: Use AMS to migrate your applications to AWS based on the defined strategies.

migrating applications in the AWS Application Migration Service console

9. Validate Migration

• Validate migration: Validate the migrated applications to ensure they are functioning correctly in the AWS environment.

Application Discovery Service LAB

 

1. Launch an Agent

• Launch an agent: Download the ADS agent and install it on your on-premises servers.

downloading the AWS ADS agent

2. Configure the Agent

• Configure the agent: Configure the agent to connect to your AWS account and report application data.

configuring the AWS ADS agent

3. Start the Agent

• Start the agent: Start the ADS agent to begin collecting data.

4. View Discovered Applications

• View applications: Use the AWS Management Console to view the applications discovered by ADS.

 AWS Application Discovery Service console

5. Analyze Application Data

• Analyze data: Use the ADS console to analyze application data, including dependencies, usage patterns, and performance metrics.

analyzing application data in the AWS Application Discovery Service console

6. Create Application Groups

• Create groups: Group related applications together for easier management.

 creating application groups in the AWS Application Discovery Service console

7. Export Data

• Export data: Export application data to CSV or JSON format for further analysis.