AWS Health Dashboard LAB

 AWS Health Dashboard is a service that provides real-time information about the health of AWS services and infrastructure. It helps you monitor the status of AWS resources and identify any potential issues that may impact your applications.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Access Health Dashboard

• Launch Health Dashboard: In the AWS Management Console, search for "Health Dashboard" and launch the service.

AWS Health Dashboard launch screen

2. View Overview

• View Overview: The Health Dashboard will provide an overview of the health of AWS services and infrastructure. This includes information about any current service disruptions or planned maintenance events.

AWS Health Dashboard overview screen

3. View Service Health

• View Service Health: Drill down into specific AWS services to view their health status in more detail.

AWS Health Dashboard service health screen

4. View Region Health

• View Region Health: Check the health status of specific AWS regions.

AWS Health Dashboard region health screen

5. View Event Details

• View Event Details: If there are any service disruptions or planned maintenance events, you can click on them to view more details.

AWS Health Dashboard event details screen

6. Set Up Notifications

• Set Up Notifications: Configure notifications to be alerted of any health events that may impact your applications.

AWS Health Dashboard notifications settings screen

Additional Considerations

• Custom Dashboards: Create custom dashboards to monitor the health of specific resources or services.
• Integration: Integrate Health Dashboard with other AWS services like CloudWatch and Config for comprehensive monitoring and governance.

AWS Grafana LAB

 AWS Grafana is a managed service that provides a powerful, open-source analytics and visualization platform. It allows you to create custom dashboards to monitor and analyze your AWS resources and applications.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create a Grafana Workspace

• Launch Grafana: In the AWS Management Console, search for "Grafana" and launch the service.
• Create Workspace: Click on "Create workspace".
• Provide Workspace Details: Enter a name for your workspace and select the desired configuration settings.

AWS Grafana Create Workspace screen

2. Configure Data Sources

• Configure Data Sources: Connect Grafana to your AWS resources by configuring data sources (e.g., CloudWatch, DynamoDB, Kinesis).

AWS Grafana Configure Data Source screen

3. Create Dashboards

• Create Dashboards: Use the Grafana interface to create custom dashboards that visualize your data.
• Add Panels: Add panels to your dashboards to display metrics, charts, and other visualizations.

AWS Grafana Create Dashboard screen

4. Customize Dashboards

• Customize Dashboards: Customize the appearance and behavior of your dashboards to meet your specific needs.

AWS Grafana Customize Dashboard screen

5. Share Dashboards

• Share Dashboards: Share your dashboards with other users or teams.

Additional Considerations

• Integrations: Grafana supports integrations with a wide range of data sources and services.
• Customization: Customize Grafana to meet your specific requirements using plugins and themes.
• Alerts: Set up alerts to be notified of critical events or anomalies.
• Collaboration: Collaborate with other users to create and manage dashboards.

AWS Config LAB

 AWS Config is a service that provides a way to track the configuration of your AWS resources. It helps you ensure that your resources are configured according to your desired state and detect any unauthorized changes.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create a Configuration Recorder

• Launch Config: In the AWS Management Console, search for "Config" and launch the service.
• Create Recorder: Click on "Create recorder".
• Provide Recorder Details: Enter a name for your recorder and select the desired configuration settings (e.g., bucket, role).

AWS Config Create Recorder screen

2. Create a Delivery Channel

• Create Delivery Channel: Create a delivery channel to specify where the configuration data will be stored.

AWS Config Create Delivery Channel screen

3. Start Recording

• Start Recording: Start the configuration recorder to begin tracking your resource configurations.

4. View Configuration History

• View History: Use the Config console to view the configuration history of your resources.

AWS Config Configuration History screen

5. Create Compliance Rules

• Create Rules: Create compliance rules to define the desired configuration state for your resources.

AWS Config Create Compliance Rule screen

6. Assess Compliance

• Assess Compliance: Config will automatically assess your resources against the defined compliance rules.

AWS Config Compliance screen

7. Take Action

• Take Action: If resources are not compliant, take the necessary steps to bring them into compliance.

Additional Considerations

• Custom Rules: Create custom rules to define specific configuration requirements.
• Data Retention: Set data retention policies for your configuration data.
• Integration: Integrate Config with other AWS services like CloudTrail and CloudWatch for comprehensive monitoring and governance.

AWS Compute Optimizer LAB

 AWS Compute Optimizer is a service that analyzes your EC2 instances and provides recommendations to optimize their performance and cost. It helps you identify underutilized instances, rightsize your instances, and choose the most cost-effective instance types.

Prerequisites

• An AWS account
• Running EC2 instances

Step-by-Step Guide

1. Enable Compute Optimizer

• Launch Compute Optimizer: In the AWS Management Console, search for "Compute Optimizer" and launch the service.
• Enable Compute Optimizer: Enable Compute Optimizer for your account.

AWS Compute Optimizer Enable screen

2. View Recommendations

• View Recommendations: After Compute Optimizer analyzes your EC2 instances, you can view the recommendations in the console.

AWS Compute Optimizer Recommendations screen

3. Analyze Recommendations

• Analyze Recommendations: Review the recommendations provided by Compute Optimizer. The recommendations will include suggestions for rightsizing instances, choosing more cost-effective instance types, and optimizing instance configurations.

4. Take Action

• Take Action: Based on the recommendations, you can take the following actions:
  • Rightsize Instances: Modify the instance type of underutilized instances.
  • Optimize Configurations: Adjust instance configurations (e.g., CPU credits, memory, storage) to improve performance and cost-efficiency.
  • Choose More Cost-Effective Instances: Select more cost-effective instance types for your workloads.

5. Monitor and Refine

• Monitor and Refine: Continuously monitor your EC2 instances and refine your optimization strategies based on the recommendations provided by Compute Optimizer.

Additional Considerations

• Custom Metrics: Provide custom metrics to Compute Optimizer for more accurate recommendations.
• Scheduling: Schedule Compute Optimizer to analyze your instances at regular intervals.
• Integration: Integrate Compute Optimizer with other AWS services like CloudWatch and Cost Explorer for comprehensive monitoring and cost analysis.

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.