Why you need to learn Prerequisites before AWS
Agenda
Networking Basics
Basic Cloud Concepts:
Operating Systems / Virtual Machines
Linux Command line basics
Python for Scripting
Networking Basics
Having an understanding of IP addressing, subnets, CIDR notation, DNS, and how data flows over the internet is crucial when we work with private and public clouds.
Why do we need Networking for AWS?
Connectivity: Networking provides the foundation for connecting your resources within AWS and to the external world
Resource Isolation: Networking enables the isolation of infrastructure to be separated and secure through Virtual Private Clouds (VPCs) and subnets.
Security: Networking is crucial for implementing security controls, such as firewalls, security groups, and network access control lists (NACLs).
Traffic Routing: Networking handles the routing of traffic within and outside your AWS environment.
High Availability: Networking is a fundamental component of creating highly available architectures.
Scaling: Networking is key to horizontally scaling your applications.
Data Transfer: Networking is crucial for the transfer of data, whether it's between AWS services, from on-premises environments to AWS.
Basic Cloud Computing
Learning cloud concepts cultivates a cloud-centric mindset, which is essential for adapting to the dynamic nature of cloud environments. This mindset is crucial for staying agile and responsive to changing business needs.
Why do we need Cloud Computing concepts for AWS?
Contextual Understanding: Understanding cloud concepts provides context for how AWS operates.
Architectural Considerations: Cloud architecture principles, like high availability, fault tolerance, and disaster recovery, are fundamental to designing reliable systems in AWS.
Service Selection: AWS offers a wide range of services with various use cases. Knowing cloud concepts helps you choose the right AWS services to address specific business needs.
Resource Management: Understanding cloud concepts enables you to efficiently manage and optimize AWS resources, resulting in cost savings and better resource utilization.
Scaling and Elasticity: Understanding cloud scalability and elasticity concepts helps you design systems that can adapt to changing workloads effectively.
Resource Abstraction: Cloud services abstract the underlying infrastructure. Basic cloud concepts help you grasp how these abstractions work, making it easier to configure and use services
Security and Compliance: Knowing cloud concepts is crucial for understanding how to implement security best practices and compliance in an AWS environment.
Cost Management: Cloud concepts help you understand the cost structure and billing mechanisms, allowing you to monitor and control your expenses effectively.
Hybrid and Multi-Cloud Environments: Understanding cloud concepts helps you integrate AWS with other cloud providers or on-premises solutions more seamlessly.
Operating Systems / Virtual Machines
Learning about operating systems is important when working with AWS because it helps you make informed decisions about instance types, security, user management, troubleshooting, performance optimization, and overall resource management within the AWS environment.
Why do we need to know OS/ VM?
EC2 Instances: Amazon EC2 (Elastic Compute Cloud) is one of the core services in AWS, allowing you to create and manage VM instances in the cloud. Understanding VM concepts is fundamental for using EC2 effectively.
Understanding Instance Types: AWS offers a variety of EC2 instance types that run on different operating systems. Understanding the differences between these instance types is crucial for selecting the right one for your workload.
OS Compatibility: Depending on the operating system used, some applications and software may be better suited for certain AWS instance types.
Image and Snapshot Management: AWS provides the ability to create custom machine images (AMIs) from VMs, and you can take snapshots of your instances
Instance State Management: VM instances in AWS have various states, including running, stopped, and terminated.
File Systems and Storage: Familiarity with file systems and storage management on different operating systems is essential for efficient data management and storage configurations in AWS.
Configuration and Optimization: Understanding the configuration options and performance characteristics of various operating systems allows you to fine-tune your AWS resources for optimal performance.
Troubleshooting: A solid understanding of the underlying OS is crucial for effectively diagnosing and troubleshooting operating system-related problems.
Compatibility and Porting: If you plan to migrate applications or services to AWS, understanding how the operating system may impact the migration process is important.
Choice of Services: Knowledge of operating systems can help you choose the right service and configuration for your needs.
Performance Optimization: Operating systems can have a significant impact on the performance of your applications and services in AWS.
Linux Command line basics
Learning Linux command line basics is a valuable prerequisite for working with AWS because it empowers you to manage, configure, secure, and troubleshoot Linux-based AWS instances effectively.
Why do we need to know Linux Commands?
AWS Instances: Many AWS EC2 instances are powered by Linux-based operating systems, such as Amazon Linux, Ubuntu, or CentOS.
SSH Access: Secure Shell (SSH) is commonly used to access AWS instances running Linux. You'll need to use the command line to SSH into instances for configuration, administration, and troubleshooting.
File and Directory Management: Linux commands like ls, cd, cp, mv, and rm are used for managing files and directories on AWS instances.
Package Management: Many Linux distributions use package managers like yum (Amazon Linux) or apt (Ubuntu) to install, update, and manage software packages.
User and Permissions Management: Understanding commands like useradd, passwd, and chmod is crucial for creating and managing user accounts and permissions on AWS instances.
Process Management: Commands like ps, top, and kill are essential for monitoring and managing running processes on your AWS instances.
File Editing: Linux offers command-line text editors like nano, vim, and emacs.
Shell Scripting: Scripting in Linux, often using bash, is a powerful way to automate tasks on AWS instances.
System Administration: Basic system administration tasks such as configuring network interfaces, setting up firewalls, and managing logs often require Linux command-line skills.
Resource Management: Linux commands allow you to monitor resource usage, disk space, and system performance on your AWS instances.
Backup and Recovery: You can use Linux commands to back up and restore data on your AWS instances.
Python for Scripting
Python is a valuable scripting language for working with AWS due to its integration with AWS services, extensive libraries and resources, and ease of learning. Whether you're automating tasks, managing resources, or building serverless applications, Python provides a powerful and flexible tool for your AWS scripting needs.
Why do we need to know Python for Scripting?
AWS CLI and SDKs: Python is one of the preferred scripting languages for interacting with AWS services. AWS provides software development kits (SDKs) for Python, making it easy to manage and automate AWS resources.
Boto3 Library: Boto3 is the official Python SDK for AWS. It allows you to write Python scripts to interact with AWS services programmatically. This includes provisioning resources, managing security configurations, and automating tasks like creating EC2 instances, managing S3 buckets, and more.
Script Automation: Python is a versatile scripting language that is well-suited for automating routine AWS tasks and workflows. This can save time and reduce manual errors in resource management and maintenance.
Lambda Functions: AWS Lambda, a serverless computing service, allows you to run code in response to events. Python is one of the supported languages for writing Lambda functions, enabling you to create serverless applications and event-driven automation using Python scripts.
Infrastructure as Code (IaC): Python can be used in conjunction with IaC tools like AWS CloudFormation and Terraform to define, and provision AWS infrastructure, and configurations for custom resource management.
Custom Scripting Logic: Python offers a wide range of libraries and modules that can be used to implement custom logic in your AWS scripts. This flexibility is beneficial when you need to create customized automation for specific use cases or integration with other systems.
Third-Party Libraries and Tools: Python has an extensive ecosystem of third-party libraries and tools that can enhance your AWS scripting capabilities. For example, you can use libraries like Requests for making HTTP requests to AWS services.
Easier Learning Curve: Python is known for its readability and ease of learning, which is beneficial for those who are new to scripting or programming. Its syntax is relatively straightforward, making it accessible for both beginners and experienced developers.
Cross-Platform Compatibility: Python is available on multiple platforms, including Windows, macOS, and Linux, which allows you to write AWS scripts that are portable across different environments.
References:
Be a Better DEV: https://www.youtube.com/watch?v=LTH9m4HkeYY