MediaConvert LAB

 AWS MediaConvert is a fully managed video transcoding service that makes it easy to convert video files from one format to another. It is ideal for applications that require large-scale video processing, such as video streaming, content delivery, and video editing.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create a MediaConvert Job

• Launch MediaConvert: In the AWS Management Console, search for "MediaConvert" and launch the service.
• Create Job: Click on "Create job".
• Provide Job Details: Enter a name for your job, select the input and output settings, and configure the desired transcoding options.
Opens in a new window aws.amazon.com
MediaConvert Create Job screen

2. Configure Input Settings

• Configure Input: Specify the location of your input video file (e.g., S3 bucket, MediaLive channel).
• Set Input Parameters: Set input parameters like resolution, frame rate, and codec.

3. Configure Output Settings

• Configure Output: Specify the output format, resolution, frame rate, codec, and other parameters.
• Set Output Parameters: Set output parameters like bitrate, container, and metadata.

4. Create Job

• Create Job: Once you have configured your job, click on "Create job".

5. Monitor Job Status

• Monitor Job: Track the progress of your job in the MediaConvert console.

6. Download Output

• Download Output: Once the job is complete, download the output video file from the specified location.

Example (Python)

Python

import boto3

# Create a MediaConvert client
client = boto3.client('mediaconvert')

# Create a job
response = client.create_job(
    Input={
        'InputFormat': 'MOV',
        'FileInput': 's3://my-bucket/input-video.mov'
    },
    Output={
        'OutputFormat': 'MP4',
        'ContainerSettings': {
            'Mp4Settings': {
                'HlsSettings': {}
            }
        }
    }
)

Additional Considerations

• Presets: Use predefined presets for common transcoding scenarios.
• Customizations: Create custom presets to meet specific requirements.
• Parallel Processing: Use multiple jobs for parallel processing of large video files.
• Integration: Integrate MediaConvert with other AWS services like MediaLive and MediaPackage for end-to-end media workflows.

MediaConnect LAB

AWS MediaConnect is a managed service that makes it easy to securely and reliably transport audio, video, and data streams to and from your AWS resources and on-premises locations. It is ideal for applications that require high-quality, low-latency video delivery, such as live streaming, video conferencing, and content distribution.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create a MediaConnect Flow

• Launch MediaConnect: In the AWS Management Console, search for "MediaConnect" and launch the service.
• Create Flow: Click on "Create flow".
• Provide Flow Details: Enter a name for your flow, select a source and destination, and configure the desired settings (e.g., protocol, bandwidth, encryption).
• Create Flow: Click on "Create flow".
Opens in a new window aws.amazon.com
MediaConnect Create Flow screen

2. Configure Source and Destination

• Configure Source: Specify the source of your media stream (e.g., RTMP, MPEG-TS, or custom protocol).
• Configure Destination: Specify the destination of your media stream (e.g., AWS Elemental MediaLive, AWS Elemental MediaPackage, or a custom endpoint).

3. Add Outputs (Optional)

• Add Outputs: If you need to send the media stream to multiple destinations, add additional outputs to your flow.

4. Start Flow

• Start Flow: Once you have configured your flow, start it to initiate the media transport.

5. Test Flow

• Test Flow: Use a media player or monitoring tool to verify that the media stream is being delivered successfully to the destination.

Example (Python)

Python

import boto3

# Create a MediaConnect client
client = boto3.client('mediaconnect')

# Create a flow
response = client.create_flow(
    Name='MyMediaConnectFlow',
    Source={},
    Outputs=[]
)

Use code with caution.

Additional Considerations

• Encryption: Enable encryption to protect your media streams.
• Redundancy: Consider using multiple flows for redundancy and fault tolerance.
• Monitoring: Use MediaConnect's built-in monitoring features to track flow performance and identify issues.
• Integration: Integrate MediaConnect with other AWS services like AWS Elemental MediaLive and AWS Elemental MediaPackage for end-to-end media workflows.

Kinesis Video Streams lab

 

Kinesis Video Streams Lab: A Step-by-Step Guide

Kinesis Video Streams is a fully managed service that makes it easy to capture, process, and analyze video and audio data at scale. It is ideal for applications that require real-time or near-real-time processing of video and audio data, such as live streaming, video surveillance, and IoT applications.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create a Kinesis Video Stream

• Launch Kinesis Video Streams: In the AWS Management Console, search for "Kinesis Video Streams" and launch the service.
• Create Stream: Click on "Create stream".
• Provide Stream Details: Enter a name for your stream, select a data retention period, and choose a shard count.
• Create Stream: Click on "Create stream".
Opens in a new window aws.amazon.com
Kinesis Video Streams Create Stream screen

2. Create a Kinesis Video Stream Producer

• Create Producer: Use the AWS SDK for your preferred programming language to create a Kinesis Video Stream producer.
• Connect to Stream: Connect the producer to your Kinesis Video Stream using the stream name and access credentials.
• Start Sending Data: Start sending video and audio data to the stream using the producer's methods.

3. Create a Kinesis Video Stream Consumer

• Create Consumer: Use the AWS SDK for your preferred programming language to create a Kinesis Video Stream consumer.
• Connect to Stream: Connect the consumer to your Kinesis Video Stream using the stream name and access credentials.
• Start Receiving Data: Start receiving video and audio data from the stream using the consumer's methods.

4. Process Video and Audio Data

• Process Data: Use your preferred tools or libraries to process the video and audio data received from the consumer.
• Perform Analysis: Perform tasks like video analytics, audio transcription, or object detection.

5. Store Data (Optional)

• Store Data: If needed, store the processed video and audio data in a storage service like S3 or DynamoDB.

Example (Python)

Python

import boto3

# Create a Kinesis Video Streams client
client = boto3.client('kinesisvideo')

# Create a stream
response = client.create_stream(
    StreamName='MyVideoStream',
    DataRetentionInHours=24,
    ShardCount=1
)

# Start sending data
# ...

# Start receiving data
# ...

Use code with caution.

Additional Considerations

• Data Retention: Choose a suitable data retention period based on your requirements.
• Sharding: Increase the shard count for higher throughput and scalability.
• Data Quality: Ensure that the video and audio data being sent to the stream is of good quality.
• Security: Implement appropriate security measures to protect your data.

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.