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
5.2.3 Analyze and Troubleshoot Events Explained

Analyze and Troubleshoot Events Explained

Key Concepts

Detailed Explanation

AWS CloudTrail

AWS CloudTrail logs AWS API calls for your account and delivers log files to you. This helps in auditing and monitoring the actions performed on your AWS resources. CloudTrail provides a history of AWS API calls, including who made the call, the source IP address, and when it was made.

AWS Config

AWS Config provides a detailed view of the configuration of AWS resources in your account. It continuously monitors and records configuration changes and can evaluate these configurations against desired states. AWS Config helps in ensuring that resources comply with established governance policies.

AWS X-Ray

AWS X-Ray helps developers analyze and debug distributed applications. It provides insights into the performance and behavior of microservices and other distributed systems. X-Ray allows you to trace requests as they travel through your application, helping you identify and troubleshoot issues.

Amazon CloudWatch Logs

Amazon CloudWatch Logs is a service for monitoring, storing, and accessing log files from AWS resources. It allows you to centralize the logs from all your systems, applications, and AWS services into a single, highly scalable service. CloudWatch Logs enables real-time monitoring and analysis of log data.

AWS Lambda

AWS Lambda is a serverless compute service that runs code in response to events without provisioning or managing servers. You can use Lambda functions to automate troubleshooting tasks, such as analyzing logs, triggering alerts, or executing remediation scripts.

Examples and Analogies

Example: AWS CloudTrail

Here is an example of creating a CloudTrail trail:

aws cloudtrail create-trail --name my-trail --s3-bucket-name my-bucket
aws cloudtrail start-logging --name my-trail
    

Example: AWS Config Rule

Here is an example of creating an AWS Config rule to ensure that S3 buckets are encrypted:

aws configservice put-config-rule --config-rule file://config-rule.json
    

Where config-rule.json contains:

{
    "ConfigRuleName": "s3-bucket-server-side-encryption-enabled",
    "Description": "Checks whether S3 buckets have default server-side encryption enabled.",
    "Scope": {
        "ComplianceResourceTypes": [
            "AWS::S3::Bucket"
        ]
    },
    "Source": {
        "Owner": "AWS",
        "SourceIdentifier": "S3_BUCKET_SERVER_SIDE_ENCRYPTION_ENABLED"
    }
}
    

Example: AWS X-Ray

Here is an example of enabling AWS X-Ray for a Lambda function:

import boto3
from aws_xray_sdk.core import xray_recorder
from aws_xray_sdk.core import patch_all

patch_all()

def lambda_handler(event, context):
    client = boto3.client('s3')
    response = client.list_buckets()
    return response
    

Example: Amazon CloudWatch Logs

Here is an example of creating a CloudWatch Logs group and stream:

aws logs create-log-group --log-group-name my-log-group
aws logs create-log-stream --log-group-name my-log-group --log-stream-name my-log-stream
    

Example: AWS Lambda Function

Here is an example of an AWS Lambda function to analyze CloudWatch Logs:

import boto3

def lambda_handler(event, context):
    logs = boto3.client('logs')
    response = logs.filter_log_events(
        logGroupName='my-log-group',
        filterPattern='ERROR'
    )
    for event in response['events']:
        print(event['message'])
    

Analogy: Analyzing and Troubleshooting Events as a Detective

Think of analyzing and troubleshooting events as being a detective solving a mystery. AWS CloudTrail is like the detective's notebook that records every action taken in the case. AWS Config is like the detective's checklist that ensures everything is in order. AWS X-Ray is like the detective's map that traces the path of the investigation. Amazon CloudWatch Logs is like the detective's evidence locker that stores all the clues. AWS Lambda is like the detective's assistant that automates the analysis of clues and triggers alerts when something suspicious is found.