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
5.1 Incident Management Explained

Incident Management Explained

Key Concepts

Detailed Explanation

Incident Management

Incident Management is the process of identifying, responding to, and resolving incidents to restore normal service operations as quickly as possible. The goal is to minimize the impact of incidents on business operations and ensure that services are restored to their normal state efficiently.

AWS CloudWatch

AWS CloudWatch is a monitoring and observability service that collects data such as logs, metrics, and events from your AWS resources. You can use CloudWatch to set alarms that trigger notifications or automated actions when certain thresholds are breached. This helps in early detection and response to incidents.

AWS Lambda

AWS Lambda is a serverless compute service that allows you to run code in response to events without provisioning or managing servers. You can use Lambda functions to automate incident response actions, such as triggering notifications, scaling resources, or executing remediation scripts.

AWS SNS (Simple Notification Service)

AWS SNS is a messaging service that enables you to send notifications to subscribed endpoints or clients. You can use SNS to send alerts to various channels, such as email, SMS, or HTTP endpoints, when an incident is detected. This ensures that the right people are notified promptly.

AWS Systems Manager

AWS Systems Manager is a management service that helps you automate operational tasks across your AWS resources. You can use Systems Manager to manage patches, automate runbooks, and perform other operational tasks that are part of incident management and resolution.

Examples and Analogies

Example: Setting Up a CloudWatch Alarm

Here is an example of setting up a CloudWatch alarm to monitor CPU utilization on an EC2 instance:

{
    "AlarmName": "EC2HighCPUAlarm",
    "AlarmDescription": "Alarm when CPU exceeds 80%",
    "MetricName": "CPUUtilization",
    "Namespace": "AWS/EC2",
    "Statistic": "Average",
    "Period": 300,
    "EvaluationPeriods": 2,
    "Threshold": 80,
    "ComparisonOperator": "GreaterThanOrEqualToThreshold",
    "Dimensions": [
        {
            "Name": "InstanceId",
            "Value": "i-1234567890abcdef0"
        }
    ],
    "AlarmActions": [
        "arn:aws:sns:us-east-1:123456789012:MyTopic"
    ]
}
    

Example: Creating a Lambda Function for Incident Response

Here is an example of a Lambda function that scales up an Auto Scaling group when an incident is detected:

import boto3

def lambda_handler(event, context):
    asg = boto3.client('autoscaling')
    asg.set_desired_capacity(
        AutoScalingGroupName='MyAutoScalingGroup',
        DesiredCapacity=3,
        HonorCooldown=True
    )
    

Example: Sending an SNS Notification

Here is an example of sending an SNS notification when an incident is detected:

import boto3

def lambda_handler(event, context):
    sns = boto3.client('sns')
    sns.publish(
        TopicArn='arn:aws:sns:us-east-1:123456789012:MyTopic',
        Message='Incident detected: High CPU utilization on EC2 instance',
        Subject='Incident Alert'
    )
    

Example: Using AWS Systems Manager for Incident Resolution

Here is an example of using AWS Systems Manager to run a command on multiple EC2 instances to resolve an incident:

import boto3

def lambda_handler(event, context):
    ssm = boto3.client('ssm')
    response = ssm.send_command(
        InstanceIds=['i-1234567890abcdef0', 'i-0987654321fedcba0'],
        DocumentName='AWS-RunShellScript',
        Parameters={
            'commands': ['sudo service apache2 restart']
        }
    )
    

Analogy: Incident Management as Emergency Response

Think of incident management as an emergency response system. AWS CloudWatch is like the monitoring system that detects emergencies (incidents). AWS Lambda is like the emergency responders who take immediate action. AWS SNS is like the communication system that alerts all necessary parties. AWS Systems Manager is like the command center that coordinates and executes the response plan. Together, they ensure that incidents are handled quickly and effectively, minimizing their impact on the overall operation.