AWS DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) on the Amazon Web Services (AWS) platform. It aims to shorten the software development lifecycle, provide continuous delivery with high software quality, and enable faster innovation. For more details, you can refer to the official AWS DevOps page.

Using AWS for DevOps provides several advantages, including:

• Scalability: Easily scale resources as per demand.
• Cost Efficiency: Pay only for what you use.
• Automation: Automate deployment and management processes with tools like AWS CodePipeline and AWS CloudFormation.
• Integration: Seamless integration with various AWS services.

Infrastructure as Code (IaC) is the practice of managing and provisioning computing infrastructure through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools. In AWS, tools like AWS CloudFormation and Terraform can be used for IaC, allowing teams to automate and version their infrastructure.

Some commonly used AWS tools for Continuous Integration and Continuous Deployment (CI/CD) include:

• AWS CodeCommit: A source control service.
• AWS CodeBuild: A fully managed build service.
• AWS CodeDeploy: Automates code deployments to any instance.
• AWS CodePipeline: A continuous delivery service for fast and reliable application updates.

Horizontal scaling involves adding more machines or instances to a pool to handle increased load, while vertical scaling refers to adding more power (CPU, RAM) to an existing machine. In AWS, horizontal scaling can be achieved using Auto Scaling groups, whereas vertical scaling can be done by changing instance types.

AWS Lambda is a serverless compute service that automatically runs code in response to events. In a DevOps pipeline, it can be used for automating tasks like running tests, deploying applications, or processing data without needing to manage servers. More on AWS Lambda can be found here.

Ensuring security in an AWS DevOps environment involves:

• Implementing IAM roles and policies for access control.
• Using AWS Secrets Manager or Parameter Store for managing sensitive information.
• Regularly auditing and monitoring using AWS CloudTrail.
• Employing security best practices as outlined in the AWS Security Center.

Amazon Elastic Compute Cloud (EC2) is a web service that provides resizable compute capacity in the cloud. It allows users to rent virtual servers and scale their computation needs easily. Learn more about EC2 here.

AWS offers various storage options, including:

• AWS S3: Object storage for data backup and archival.
• AWS EBS: Block storage for EC2 instances.
• AWS Glacier: Long-term archival storage.
• AWS FSx: Managed Windows file systems.

A Virtual Private Cloud (VPC) is a secure and isolated network that you can create within the AWS cloud. It allows you to define and control your virtual network environment, including the selection of IP address ranges, subnets, route tables, and network gateways. For more information, check the AWS VPC page.

Monitoring applications in AWS can be done using tools like:

• AWS CloudWatch: For collecting and tracking metrics, collecting log files, and setting alarms.
• AWS X-Ray: To analyze and debug applications.
• AWS CloudTrail: For logging and monitoring account activity.

Identity and Access Management (IAM) allows you to manage access to AWS services and resources securely. IAM enables you to create users, groups, and roles, and assign permissions to allow or deny access to specific resources. For further details, refer to the AWS IAM documentation.

Blue/Green deployment is a strategy for application deployment that reduces downtime and risk by running two identical production environments, known as 'Blue' and 'Green.' At any time, only one of the environments is live. New changes are deployed to the idle environment, allowing for testing before switching traffic to it. This can be easily managed using AWS CodeDeploy.

Common AWS services used in a DevOps pipeline include:

• AWS CodePipeline: For continuous integration and continuous delivery.
• AWS CodeBuild: For building and testing code.
• AWS CodeDeploy: For automated deployments.
• AWS CloudFormation: For provisioning resources.

Auto Scaling is a feature that automatically adjusts the number of EC2 instances in response to demand. It helps maintain application performance and availability while minimizing costs by ensuring that only the necessary resources are utilized. Learn more about Auto Scaling here.

Containers are lightweight, portable units of software that bundle an application and its dependencies together. In AWS, services like Amazon ECS (Elastic Container Service) and EKS (Elastic Kubernetes Service) allow you to run, manage, and scale containerized applications. More information can be found here.

AWS CloudFormation is a service that allows you to model and set up your AWS resources using templates, enabling you to create and manage them in an automated and repeatable way. This helps in managing infrastructure as code and reduces the chance of errors during deployment. For more details, check the AWS CloudFormation page.

High availability in AWS can be achieved by:

• Deploying applications across multiple Availability Zones (AZs).
• Using Elastic Load Balancers (ELBs) to distribute traffic.
• Implementing Auto Scaling to adjust resources based on demand.

AWS S3 (Simple Storage Service) is an object storage service designed for scalability and durability, ideal for storing large amounts of data. AWS EBS (Elastic Block Store), on the other hand, provides block-level storage for EC2 instances, suitable for applications requiring frequent updates. The use cases for both services vary significantly.

To secure an S3 bucket, you can:

• Implement bucket policies and IAM roles for access control.
• Enable server-side encryption for stored objects.
• Set up logging and monitoring using AWS CloudTrail.
• Use VPC endpoints to restrict access to S3 from specific VPCs.

The AWS Well-Architected Framework provides best practices for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. It consists of five pillars: Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization. More information can be found on the AWS Well-Architected page.

Logging in AWS is crucial for:

• Monitoring application performance and troubleshooting issues.
• Maintaining security by tracking access and changes.
• Compliance with regulations and standards.

Services like AWS CloudTrail and AWS CloudWatch Logs facilitate effective logging practices.

Common configuration management tools used in AWS include:

• AWS Systems Manager: Helps automate tasks across AWS resources.
• Chef: A configuration management tool that can be integrated with AWS.
• Puppet: Another tool for automating the management of infrastructure.