Managing EC2 and VPC: AWS with Python and Boto3 Series

Set up your AWS development environment by installing Python, configuring the AWS CLI with access keys and regions, and exploring EC2 and VPC basics in the console.

Explore the tools and environment for AWS with Python and Boto3, including configuring credentials, region, and using PyCharm to manage AWS resources; learn macOS, Windows, and Linux setup.

Create an AWS account via the AWS console to access the 12-month free tier for EC2, S3, and DynamoDB, with billing and phone verification containing a four-digit code.

Sign in to the AWS console, switch regions, and explore the dashboard while learning account navigation, cost tools, and AWS organizations for EC2 and VPC workflows.

Create a programmatic access user in AWS IAM, generate its access and secret keys, attach EC2 policies, and enable MFA while removing root access keys.

Install python 3 on Windows from python.org by downloading 3.6.5 and running the installer with pip. Add python to path and test in Command Prompt by typing python.

Install the AWS CLI on Windows 10 64-bit and verify by running aws in the command prompt. Resolve path issues by updating environment variables so the CLI is recognized.

Configure the AWS CLI with your access key and secret key, set the eu-central-1 region, and choose json output to enable boto3 access to AWS resources from Python.

Install the boto3 library with pip to begin using AWS resources in Python. The installation gathers core S3 transfer, documentation, utils, and other dependent packages for the boto3 library.

Verify AWS credentials with aws configure to confirm the access key, secret key, and region, then verify Python and boto3 installation to ensure readiness.

Install python 3 and pip on macOS from python.org by selecting python 3.6.5 and enabling shell integration. Verify the installation in the terminal using python 3.6 and pip 3.6.

Install the AWS CLI on macOS using Homebrew to configure access keys and secret keys for accessing AWS resources from the command line, applications, and other languages.

Install the boto3 library for your Python project using pip, such as pip3.6, and confirm it's installed so you can work with AWS and its API in your code.

Verify Python 3.6 is installed and AWS CLI is configured with your keys. Confirm the eu-central-1 region and that boto3 is installed to enable working with EC2 and VPC.

Learn to launch a VPC, create and attach an internet gateway, and configure a subnet using Python and Boto3 for AWS.

Create a custom VPC with Python and boto3, add private and public subnets, and attach an internet gateway to the VPC, avoiding the default VPC.

Set up PyCharm by selecting the Python interpreter (system or Python 3.6), create a pure Python project, and implement a client locator to access EC2 and VPC resources with boto3.

Explore the boto3 API docs to access extensive AWS service documentation, including EC2 resources and sample code, with quick guidance to use readthedocs.io for AWS resources.

Learn to enable full autocomplete for boto3 in PyCharm by using pi boto3, wiring a VPC class in an EC2 package, and leveraging a boto3 client for IntelliSense.

Create a VPC with the cidr block 10.0.0.0/16 using boto3, test with a Python file that instantiates the EC2 client and VPC class, and print the creation response.

Learn how to tag an AWS VPC with a name using Boto3 create_tags, extract the VPC ID from the response, and apply the tag to resources for clear identification.

Create an internet gateway in a VPC using a Python method, with dry run validation, then attach the gateway to the VPC and handle the AWS response.

Attach an internet gateway to a VPC using Boto3 by retrieving the gateway ID from the creation response and calling the VPC attach method.

Learn how to set up the python environment in PyCharm, explore the boto3 docs, and create a vpc with an internet gateway, subnets, and igw using boto3.

Create a public subnet with auto assign public IPs in a VPC, add private subnet, set up route table with internet gateway, and associate the public subnet for internet access.

Create a generic create_subnet method to build public or private subnets by supplying the VPC ID and CIDR block, using a base 10.0.0.0/16 and a 10.0.1.0/24 private subnet example.

Create a public route table for the VPC to enable internet access from the public subnet by attaching an internet gateway.

Add an internet gateway route to the public route table using Boto3, supplying the route table ID, internet gateway ID, and the 0.0/0 destination CIDR block to enable internet access.

Associate a public subnet with a public route table using a generic VPC class method, handling subnet and route table IDs with a dry-run option and updating the association.

Enable auto assign public IP addresses on the public subnet by modifying subnet attributes to map public IP addresses on launch, so EC2 instances obtain internet facing IP addresses.

Create a private subnet in the VPC using the existing create subnet method, assign a unique cidr block, obtain subnet id, and tag it with a meaningful name for identification.

Created a public subnet with a public route table and internet gateway for access, enabled IPv4/IPv6 auto-assign, and prepared a private subnet as we move to Python and Boto3 implementation.

Explore EC2 and VPC basics by creating key pairs, security groups, and public and private instances, then deploy a startup script to launch a website and test connectivity.

Explore the AWS console perspective to plan EC2 solutions with Python and Boto3 by creating key pairs, security groups, and launching public and private EC2 instances with Amazon Linux AMI.

Learn how to create an EC2 key pair with boto3 in Python, including organizing code in a dedicated EC2 class, injecting the AWS client, and handling key pair responses.

Implement a Boto3-driven security group for a public EC2 instance by defining a create_security_group method that takes group name, description, and VPC ID, and wire it into the main class.

Add an inbound rule to a security group in AWS using boto3, granting http and ssh access from 0.0.0.0/0 to a public subnet's instances.

Create a startup script using EC2 user data to configure a public instance with yum updates, install httpd, start the server, and deploy an index.html.

Launch a public subnet EC2 instance by defining image id, instance type, key name, min and max counts, security groups, subnet id, and user data with boto3 run instances.

Launch a private EC2 instance in a private subnet by creating a private security group, configuring inbound rules, and launching with the private security group and subnet in AWS.

Launch a full AWS infrastructure from code by creating a VPC with public and private subnets, an internet gateway, and security groups using boto3, then deploy two EC2 instances.

Verify resources in the amazon web services console by inspecting vpc, public and private subnets, route tables, and internet gateway, confirming two ec2 instances with security groups and key pairs.

Verify a public EC2 instance in a VPC with a public subnet serves the startup script via httpd, displaying 'Hello from Boto3 using Python' on index.html.

Access a private ec2 instance inside the same vpc, which has no public ip, only from internal hosts or via a public ec2, using the same key pair to ssh.

Launch and secure aws ec2 instances using boto3 with python, create key pairs and security groups for public and private subnets, deploy a startup script, and verify access and isolation.

Explore how to describe EC2 instances and inspect every property of a running instance. Learn to modify, start, stop, and terminate EC2 instances on AWS.

Describe EC2 instances with the describe instances method, using optional instance IDs, filters, and max results to view details like private and public IP addresses and image IDs.

Learn to modify an EC2 instance with boto3, including disable API termination, by providing the instance ID; note that responses are not returned and termination occurs in the AWS console.

Stop an EC2 instance using the AWS boto3 client by calling stop_instance with a list of instance IDs, optionally forcing shutdown, and validating the state in the AWS console.

Call the EC2 class to start an instance using the start instance method, providing the instance id. Verify in the AWS console as the instance moves from pending to running.

Learn to terminate EC2 instances on AWS using Python and Boto3 by calling the EC2 terminate instance operation with instance IDs and confirming the termination status in the AWS console.

Explore describing EC2 instances, fetch all instances in our account for that region, and manage their lifecycle—from starting and stopping to terminating—using Python and Boto3, including API termination settings.

Build and deploy with aws by creating credentials, configuring boto3, and launching a vpc with a public and private subnet, an internet gateway, security groups, key pairs, and ec2 instances.

Explore what's next in the AWS series, and continue learning to launch infrastructure from code with Python, Boto3, and AWS services like Lambda, DynamoDB, RDS, SQS, and SNS.

Conclude your journey learning AWS with Python and boto3 by implementing VPC subnets and launching EC2 instances, and explore future AWS resources like Lambda, DynamoDB, SQS, SNS, RDS, and ECS.