About Me
AWS Certified DevOps
1 Domain 1: SDLC Automation
1.1 Continuous Integration and Continuous Deployment (CICD)
1.1 1 Design and implement CICD pipelines
1.1 2 Manage code repositories
1.1 3 Implement deployment strategies
1.2 Infrastructure as Code (IaC)
1.2 1 Define and deploy infrastructure using AWS CloudFormation
1.2 2 Manage and modularize templates
1.2 3 Implement service and infrastructure bluegreen deployments
1.3 Configuration Management
1.3 1 Automate configuration management
1.3 2 Implement and manage configuration changes
1.3 3 Implement and manage infrastructure changes
1.4 Monitoring and Logging
1.4 1 Design and implement logging and monitoring
1.4 2 Analyze and troubleshoot issues
1.4 3 Implement and manage alarms and notifications
2 Domain 2: Configuration Management and Infrastructure as Code
2.1 Infrastructure as Code (IaC)
2.1 1 Define and deploy infrastructure using AWS CloudFormation
2.1 2 Manage and modularize templates
2.1 3 Implement service and infrastructure bluegreen deployments
2.2 Configuration Management
2.2 1 Automate configuration management
2.2 2 Implement and manage configuration changes
2.2 3 Implement and manage infrastructure changes
2.3 Version Control
2.3 1 Manage code repositories
2.3 2 Implement version control strategies
2.3 3 Manage branching and merging
3 Domain 3: Monitoring and Logging
3.1 Monitoring
3.1 1 Design and implement monitoring
3.1 2 Implement and manage alarms and notifications
3.1 3 Analyze and troubleshoot issues
3.2 Logging
3.2 1 Design and implement logging
3.2 2 Analyze and troubleshoot issues
3.2 3 Implement and manage log retention and archival
3.3 Metrics and Dashboards
3.3 1 Design and implement metrics collection
3.3 2 Create and manage dashboards
3.3 3 Analyze and troubleshoot performance issues
4 Domain 4: Policies and Standards Automation
4.1 Security and Compliance
4.1 1 Implement and manage security policies
4.1 2 Implement and manage compliance policies
4.1 3 Automate security and compliance checks
4.2 Cost Management
4.2 1 Implement and manage cost optimization strategies
4.2 2 Automate cost monitoring and alerts
4.2 3 Analyze and troubleshoot cost issues
4.3 Governance
4.3 1 Implement and manage governance policies
4.3 2 Automate governance checks
4.3 3 Analyze and troubleshoot governance issues
5 Domain 5: Incident and Event Response
5.1 Incident Management
5.1 1 Design and implement incident management processes
5.1 2 Automate incident detection and response
5.1 3 Analyze and troubleshoot incidents
5.2 Event Management
5.2 1 Design and implement event management processes
5.2 2 Automate event detection and response
5.2 3 Analyze and troubleshoot events
5.3 Root Cause Analysis
5.3 1 Perform root cause analysis
5.3 2 Implement preventive measures
5.3 3 Analyze and troubleshoot root cause issues
6 Domain 6: High Availability, Fault Tolerance, and Disaster Recovery
6.1 High Availability
6.1 1 Design and implement high availability architectures
6.1 2 Implement and manage load balancing
6.1 3 Analyze and troubleshoot availability issues
6.2 Fault Tolerance
6.2 1 Design and implement fault-tolerant architectures
6.2 2 Implement and manage failover strategies
6.2 3 Analyze and troubleshoot fault tolerance issues
6.3 Disaster Recovery
6.3 1 Design and implement disaster recovery strategies
6.3 2 Implement and manage backup and restore processes
6.3 3 Analyze and troubleshoot disaster recovery issues
3.3.2 Create and Manage Dashboards Explained

Create and Manage Dashboards Explained

Key Concepts

Detailed Explanation

Dashboards

Dashboards provide a visual representation of key metrics and statuses, offering an overview of system performance. They help in quickly identifying trends, anomalies, and potential issues. AWS provides customizable dashboards in Amazon CloudWatch, allowing you to create visualizations tailored to your monitoring needs.

Widgets

Widgets are individual components within a dashboard that display specific metrics or logs. Common widgets include line charts, bar graphs, and single value displays. Widgets can be arranged and resized to create a comprehensive view of system health and performance.

Customization

Customization allows you to tailor dashboards to specific monitoring needs. This includes selecting the metrics to display, arranging widgets, and setting up alerts. Customization ensures that dashboards provide the most relevant and actionable information.

Real-time Monitoring

Real-time monitoring enables you to view live data on dashboards. This is crucial for identifying and addressing issues as they occur. AWS CloudWatch provides real-time data collection and visualization, ensuring that you have up-to-date information at all times.

Alerts Integration

Alerts integration involves incorporating alert notifications directly into dashboards. This allows you to see both the current state of your system and any alerts triggered by anomalies or issues. AWS CloudWatch Alarms can be integrated into dashboards to provide a comprehensive monitoring experience.

Examples and Analogies

Example: Creating a CloudWatch Dashboard

Below is an example of creating a simple Amazon CloudWatch dashboard to display CPU utilization and memory usage:

{
    "widgets": [
        {
            "type": "metric",
            "x": 0,
            "y": 0,
            "width": 12,
            "height": 6,
            "properties": {
                "metrics": [
                    [ "AWS/EC2", "CPUUtilization", "InstanceId", "i-1234567890abcdef0" ]
                ],
                "view": "timeSeries",
                "region": "us-east-1"
            }
        },
        {
            "type": "metric",
            "x": 12,
            "y": 0,
            "width": 12,
            "height": 6,
            "properties": {
                "metrics": [
                    [ "System/Linux", "MemoryUtilization", "InstanceId", "i-1234567890abcdef0" ]
                ],
                "view": "timeSeries",
                "region": "us-east-1"
            }
        }
    ]
}

Analogy: Car Dashboard

Think of a dashboard as the instrument panel in a car. Just as the car dashboard displays metrics like speed, fuel level, and engine temperature, a system dashboard displays metrics like CPU usage, memory consumption, and request rates. Widgets are like the individual gauges and indicators on the car dashboard, providing specific information. Customization is like configuring the car dashboard to display only the most relevant information for your driving style. Real-time monitoring ensures that you always have up-to-date information, just as you would want to know your speed and fuel level at all times. Alerts integration is like the warning lights on the car dashboard, notifying you of potential issues like low fuel or engine trouble.

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