AWS CloudWatch LAB

 AWS CloudWatch is a monitoring and observability service that provides insights into your AWS resources and applications. It helps you track, analyze, and gain insights from operational data.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create Metrics

• Create Metrics: CloudWatch automatically generates metrics for many AWS resources. You can also create custom metrics to track specific metrics.

2. Create Alarms

• Create Alarms: Set up alarms to notify you when metrics exceed or fall below specified thresholds.

CloudWatch Create Alarm screen

3. View Metrics and Alarms

• View Metrics: Use the CloudWatch console to view metrics in graphs and charts.

CloudWatch Metrics screen

• View Alarms: View the status of your alarms and investigate any triggered alarms.
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CloudWatch Alarms screen

4. Use CloudWatch Logs

• Use CloudWatch Logs: Collect and analyze log data from your AWS resources and applications.
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CloudWatch Logs screen

5. Use CloudWatch Insights

• Use CloudWatch Insights: Query and analyze log data using SQL-like syntax.
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CloudWatch Insights screen

6. Use CloudWatch Synthetics

• Use CloudWatch Synthetics: Create synthetic transactions to monitor the performance of your applications from the end-user perspective.
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CloudWatch Synthetics screen

Additional Considerations

• Custom Metrics: Create custom metrics to track specific metrics that are not automatically generated by CloudWatch.
• Data Retention: Configure data retention policies for your metrics and logs.
• Alarms: Set up alarms to proactively monitor your resources and applications.
• Integration: Integrate CloudWatch with other AWS services like CloudTrail and Config for comprehensive monitoring and governance.

 is a monitoring and observability service that provides insights into your AWS resources and applications. It helps you track, analyze, and gain insights from operational data.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create Metrics

• Create Metrics: CloudWatch automatically generates metrics for many AWS resources. You can also create custom metrics to track specific metrics.

2. Create Alarms

• Create Alarms: Set up alarms to notify you when metrics exceed or fall below specified thresholds.

CloudWatch Create Alarm screen

3. View Metrics and Alarms

• View Metrics: Use the CloudWatch console to view metrics in graphs and charts.

CloudWatch Metrics screen

• View Alarms: View the status of your alarms and investigate any triggered alarms.

CloudWatch Alarms screen

4. Use CloudWatch Logs

• Use CloudWatch Logs: Collect and analyze log data from your AWS resources and applications.

CloudWatch Logs screen

5. Use CloudWatch Insights

• Use CloudWatch Insights: Query and analyze log data using SQL-like syntax.

CloudWatch Insights screen

6. Use CloudWatch Synthetics

• Use CloudWatch Synthetics: Create synthetic transactions to monitor the performance of your applications from the end-user perspective.

CloudWatch Synthetics screen

Additional Considerations

• Custom Metrics: Create custom metrics to track specific metrics that are not automatically generated by CloudWatch.
• Data Retention: Configure data retention policies for your metrics and logs.
• Alarms: Set up alarms to proactively monitor your resources and applications.
• Integration: Integrate CloudWatch with other AWS services like CloudTrail and Config for comprehensive monitoring and governance.

AWS CloudTrail LAB

 AWS CloudTrail is a service that provides a record of API calls made to AWS services. It is a valuable tool for auditing, governance, and compliance purposes.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create a CloudTrail Trail

• Launch CloudTrail: In the AWS Management Console, search for "CloudTrail" and launch the service.
• Create Trail: Click on "Create trail".
• Provide Trail Details: Enter a name for your trail, select a bucket to store the log files, and configure the desired settings (e.g., event selector, encryption).

CloudTrail Create Trail screen

2. Configure Event Selector (Optional)

• Configure Event Selector: If you want to filter the events that are logged, configure the event selector to specify the API calls you want to capture.

CloudTrail Configure Event Selector screen

3. Create Trail

• Create Trail: Once you have configured your trail, click on "Create trail".

4. View Log Files

• View Log Files: Access the S3 bucket where the log files are stored and view the events recorded by CloudTrail.

CloudTrail Log Files screen

5. Analyze Logs

• Analyze Logs: Use tools like CloudWatch Logs Insights to analyze the log files and identify patterns, trends, or anomalies.

Additional Considerations

• Encryption: Enable encryption to protect your log files.
• Data Retention: Set data retention policies to manage your log files.
• Integration: Integrate CloudTrail with other AWS services like CloudWatch and Config for comprehensive monitoring and governance.

AWS CloudFormation LAB

 AWS CloudFormation is a service that allows you to define and provision infrastructure as code. It lets you model and automate the creation and management of AWS resources.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create a CloudFormation Template

• Create a Template: Create a text file (e.g., template.yaml) and define your infrastructure resources using the CloudFormation template language (YAML or JSON).

YAML

AWSTemplateFormatVersion: 2010-09-09

Resources:
  MyEC2Instance:
    Type: AWS::EC2::Instance
    Properties:
      ImageId: ami-0c55b159cbfafe1f0
      InstanceType: t2.micro
      KeyName: MyKeyPair   

.

2. Upload Template to S3

• Upload Template: Upload your template file to an S3 bucket.

3. Create a CloudFormation Stack

• Launch CloudFormation: In the AWS Management Console, search for "CloudFormation" and launch the service.
• Create Stack: Click on "Create stack".
• Choose Template: Select the template you uploaded to S3.
• Provide Stack Details: Enter a name for your stack and provide any necessary parameters.
• Create Stack: Click on "Create stack".

CloudFormation Create Stack screen

4. Monitor Stack Creation

• Monitor Stack: The CloudFormation service will create the resources defined in your template. You can monitor the progress in the CloudFormation console.

CloudFormation Stack Events screen

5. Access Created Resources

• Access Resources: Once the stack is created, you can access and manage the created resources using the AWS Management Console or the AWS CLI.

6. Update Stack

• Update Stack: If you need to modify your infrastructure, you can update your template and update the stack.

7. Delete Stack

• Delete Stack: To remove the created resources, delete the stack.

Additional Considerations

• Parameters: Use parameters to make your templates more flexible and reusable.
• Conditions: Use conditions to conditionally create or update resources based on certain conditions.
• Nested Stacks: Create nested stacks to modularize your infrastructure.
• Change Sets: Use change sets to preview the changes before updating a stack.
• Custom Resources: Create custom resources to integrate with custom services or scripts.

AWS NimbleStudio LAB

 AWS NimbleStudio is a fully managed cloud-based workspace solution for creative professionals. It provides high-performance workstations and rendering resources in the cloud, making it ideal for tasks like 3D modeling, animation, and video editing.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create a Studio

• Launch NimbleStudio: In the AWS Management Console, search for "NimbleStudio" and launch the service.
• Create Studio: Click on "Create studio".
• Provide Studio Details: Enter a name for your studio and select the desired configuration settings (e.g., region, instance types, storage).

NimbleStudio Create Studio screen

2. Create a Launch Profile

• Create Launch Profile: Within your studio, create a launch profile.
• Configure Launch Profile: Specify the instance type, operating system, and software packages for your workstations.

NimbleStudio Create Launch Profile screen

3. Create a Studio Component

• Create Studio Component: Within your studio, create a studio component.
• Configure Studio Component: Specify the instance type and storage configuration for your rendering resources.

NimbleStudio Create Studio Component screen

4. Launch a Workspace

• Launch Workspace: Launch a workspace using your configured launch profile.
• Access Workspace: Access your workspace through a web browser or a remote desktop connection.

NimbleStudio Launch Workspace screen

5. Use Workspace

• Use Workspace: Use your workspace to run creative applications and perform your tasks.

6. Manage Resources

• Manage Resources: Monitor and manage your studio resources (e.g., launch profiles, studio components, workspaces).

Additional Considerations

• Licensing: Ensure you have the necessary licenses for the software you plan to use in your workspaces.
• Storage: Consider the storage requirements for your projects and configure your studio accordingly.
• Performance: Choose appropriate instance types to meet your performance needs.
• Cost Optimization: Manage your costs by optimizing your resource usage and leveraging cost-saving options.

AWS MediaStore LAB

 AWS MediaStore is a fully managed, serverless storage service designed specifically for media and entertainment applications. It provides high-performance, low-latency access to video and audio content, making it ideal for streaming applications, content delivery networks (CDNs), and media archives.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create a Container

• Launch MediaStore: In the AWS Management Console, search for "MediaStore" and launch the service.
• Create Container: Click on "Create container".
• Provide Container Details: Enter a name for your container and select the desired storage class (Standard or Standard-Infrequent Access).

MediaStore Create Container screen

2. Configure Access Policies

• Configure Policies: Set access policies to control who can access the container and its contents.
• Create IAM Roles: Create IAM roles with appropriate permissions for accessing the container.

3. Upload Content

• Upload Content: Use the AWS SDK or the MediaStore CLI to upload your video or audio content to the container.

Python

import boto3

# Create a MediaStore client
client = boto3.client('mediastore')

# Upload a file
response = client.put_item(
    ContainerName='MyMediaStoreContainer',
    Path='/my-video.mp4',
    Body=open('my-video.mp4', 'rb')
)

4. Access Content

• Access Content: Use the MediaStore endpoint and the appropriate credentials to access the uploaded content.

Python

import boto3

# Create a MediaStore client
client = boto3.client('mediastore')

# Get a presigned URL
response = client.get_item_presigned_url(
    ContainerName='MyMediaStoreContainer',
    Path='/my-video.mp4'
)

# Access the content using the presigned URL

5. Configure CDN (Optional)

• Configure CDN: If you need to distribute your content globally, integrate MediaStore with a CDN like CloudFront.

Additional Considerations

• Storage Class: Choose the appropriate storage class based on your access frequency and cost requirements.
• Data Retention: Set data retention policies to manage your content lifecycle.
• Security: Implement appropriate security measures to protect your content.
• Integration: Integrate MediaStore with other AWS services like MediaPackage and MediaLive for end-to-end media workflows.

AWS MediaPackage LAB

 AWS MediaPackage is a managed service that makes it easy to package and deliver video content to viewers. It is ideal for applications that require high-quality, low-latency video delivery, such as live streaming, video on demand (VOD), and content distribution.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create a MediaPackage Channel

• Launch MediaPackage: In the AWS Management Console, search for "MediaPackage" and launch the service.
• Create Channel: Click on "Create channel".
• Provide Channel Details: Enter a name for your channel, select an input source, and configure the desired settings (e.g., packaging format, DRM).

MediaPackage Create Channel screen

2. Configure Input

• Configure Input: Specify the source of your video content (e.g., MediaLive channel, S3 bucket, custom protocol).
• Set Input Parameters: Set input parameters like resolution, frame rate, and bitrate.

3. Configure Packaging

• Configure Packaging: Specify the packaging format (e.g., HLS, DASH, CMAF) and the desired packaging settings.

4. Create Channel

• Create Channel: Once you have configured your channel, click on "Create channel".

5. Start Channel

• Start Channel: Once the channel is created, start it to initiate the packaging and delivery process.

6. Access Content

• Access Content: Use a compatible media player or client to access the packaged video content from the MediaPackage channel.

Example (Python)

Python

import boto3

# Create a MediaPackage client
client = boto3.client('mediapackage')

# Create a channel
response = client.create_channel(
    Name='MyMediaPackageChannel',
    Input={
        # Input configuration
    },
    PackagingConfigurations=[
        # Packaging configuration
    ]
)

Additional Considerations

• DRM: Enable DRM protection for your video content.
• Customizations: Customize your channel settings to meet specific requirements.
• Monitoring: Use MediaPackage's monitoring features to track channel performance and identify issues.
• Integration: Integrate MediaPackage with other AWS services like MediaLive and MediaConnect for end-to-end media workflows.

AWS MediaLive Lab

AWS MediaLive Lab: A Step-by-Step Guide

AWS MediaLive is a fully managed live video broadcasting service that makes it easy to encode and stream live video content. It is ideal for applications that require high-quality, low-latency live video delivery, such as live streaming, sports broadcasting, and video conferencing.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create a MediaLive Channel

• Launch MediaLive: In the AWS Management Console, search for "MediaLive" and launch the service.
• Create Channel: Click on "Create channel".
• Provide Channel Details: Enter a name for your channel, select an input source, and configure the desired settings (e.g., resolution, frame rate, bitrate).

MediaLive Create Channel screen

2. Configure Input

• Configure Input: Specify the source of your live video stream (e.g., RTMP, MPEG-TS, or custom protocol).
• Set Input Parameters: Set input parameters like resolution, frame rate, and codec.

3. Configure Output

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

4. Create Channel

• Create Channel: Once you have configured your channel, click on "Create channel".

5. Start Channel

• Start Channel: Once the channel is created, start it to initiate the live stream.

6. Monitor Channel

• Monitor Channel: Use MediaLive's built-in monitoring features to track channel performance and identify issues.

Example (Python)

Python

import boto3

# Create a MediaLive client
client = boto3.client('medialive')

# Create a channel
response = client.create_channel(
    Name='MyMediaLiveChannel',
    Input={
        # Input configuration
    },
    Output={
        # Output configuration
    }
)

Additional Considerations

• Redundancy: Consider using multiple channels for redundancy and fault tolerance.
• Integration: Integrate MediaLive with other AWS services like MediaConnect and MediaPackage for end-to-end media workflows.
• Customizations: Customize your channel settings to meet specific requirements.
• Monitoring: Use MediaLive's monitoring features to track channel performance and identify issues.