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
Configuration Management Explained

Configuration Management Explained

Key Concepts

Explanation of Each Concept

Infrastructure as Code (IaC)

IaC involves using code to define, deploy, and manage infrastructure. This allows for consistent and repeatable provisioning of resources. Tools like AWS CloudFormation, Terraform, and Ansible are commonly used for IaC.

Configuration Drift

Configuration drift occurs when the actual state of infrastructure differs from its intended state due to manual changes, updates, or errors. This can lead to inconsistencies and issues in the environment. Continuous monitoring and automated remediation are key to managing drift.

Version Control

Version control systems like Git track changes to configuration files and scripts. This ensures that all changes are documented, and previous versions can be restored if needed. It also facilitates collaboration among team members.

Idempotence

Idempotence is a property where an operation can be applied multiple times without changing the result beyond the initial application. In configuration management, idempotent operations ensure that running the same script or command multiple times produces the same desired state.

Declarative vs. Imperative

Declarative configuration management involves defining the desired state of the infrastructure and letting the system figure out how to achieve it. Imperative configuration management specifies the exact steps to achieve the desired state. Declarative approaches are generally more scalable and easier to manage.

Examples and Analogies

Infrastructure as Code Example

Using AWS CloudFormation to define an entire stack of resources:

Resources:
  MyInstance:
    Type: 'AWS::EC2::Instance'
    Properties:
      ImageId: 'ami-0abcdef1234567890'
      InstanceType: t2.micro
      KeyName: MyKeyPair
    

Configuration Drift Example

Imagine an EC2 instance that was initially configured with 2GB of RAM. Over time, someone manually changes it to 4GB. This manual change creates a drift from the intended state defined in the IaC template.

Version Control Example

Using Git to track changes to a configuration file:

git init
git add config.yml
git commit -m "Initial configuration setup"
    

Idempotence Example

An Ansible playbook that ensures a package is installed:

- name: Ensure package is installed
  yum:
    name: httpd
    state: present
    

Declarative vs. Imperative Example

Declarative approach using Terraform:

resource "aws_instance" "example" {
  ami           = "ami-0abcdef1234567890"
  instance_type = "t2.micro"
}
    

Imperative approach using a shell script:

#!/bin/bash
aws ec2 run-instances --image-id ami-0abcdef1234567890 --instance-type t2.micro
    

Conclusion

Configuration management is crucial for maintaining consistency and reliability in infrastructure. By understanding and applying concepts like Infrastructure as Code, managing configuration drift, using version control, ensuring idempotence, and choosing between declarative and imperative approaches, you can effectively manage and automate your infrastructure.