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
Infrastructure as Code (IaC) Explained

Infrastructure as Code (IaC) Explained

Key Concepts

Detailed Explanation

Infrastructure as Code (IaC)

Infrastructure as Code (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.

Declarative vs. Imperative

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

Version Control

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

Idempotency

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

Configuration Drift

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

Examples and Analogies

Declarative IaC 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
    

Imperative IaC Example

Using a shell script to provision an EC2 instance:

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

Version Control Example

Using Git to track changes to a CloudFormation template:

git init
git add cloudformation-template.yml
git commit -m "Initial CloudFormation template setup"
    

Idempotency Example

An Ansible playbook that ensures a package is installed:

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

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.

Analogy: Building a House

Think of IaC as building a house. Just as you would use blueprints and tools to ensure that each room is built according to plan, IaC tools ensure that each system component is configured as intended. Configuration drift is like someone making changes to the house without updating the blueprints, leading to inconsistencies. Idempotency ensures that applying the same blueprint multiple times results in the same house layout.