AWS - Mastering Boto3 & Lambda Functions Using Python

Explore how to use boto3 to create S3 and EC2 clients, list buckets, and manage credentials with default profiles or sessions for per-region and profile customization.

Launch EC2 instances with boto3 in Python by creating a script that calls run_instances with image ID, instance type, and min/max counts, then print the returned instance IDs.

Use boto3 to start, stop, and terminate EC2 instances by passing instance IDs, including the dry run option; inspect the response dictionary and print terminated instance IDs.

Describe all EC2 instances using boto3 by creating a script that calls the describe instance method, navigates the reservations and instances structure, and prints each instance ID.

Learn to filter EC2 instances with boto3 by state and tags, returning only running instances or those with env prod, using describe-instances filters.

Explore boto3 collections using the resource object to list queues and EC2 instances, access instance id and type, apply filters by availability zone, and stop all running instances.

Learn to automate EBS snapshots with Boto3 in Python by filtering for backup-tagged instances, creating volume snapshots, and sending email notifications via SNS.

Learn how to delete EBS snapshots older than 15 days using Boto3, by iterating over EC2 snapshots, checking start time, and invoking the delete operation.

Explore serverless architecture with AWS Lambda, run code with zero server maintenance, pay only for execution, and enable built-in high availability and auto scaling for event-driven processing and backend APIs.

Create a lambda function with Python runtime in the AWS management console, then test with sample events and access event data from dictionaries, logging to CloudWatch.

Publish and manage lambda versions to safely deploy updates using CloudWatch rules. Learn to create versions, point events to specific versions, and understand version immutability.

Learn how alias names in lambda point to specific versions, so production updates require reassigning the alias instead of changing cloudwatch events. Deploying new versions abstracts modifications to event source.

Learn how lambda layers manage external Python dependencies in AWS Lambda, using a shared layer for packages like requests to avoid duplicated dependencies and minimize S3 footprint.

Encrypt sensitive environment variables with a custom AWS KMS key, decrypt them in Lambda using boto3, and securely send Slack notifications, covering encryption in transit and at rest.

Learn to automatically process json files uploaded to S3 and store their data in DynamoDB using Python Lambda with boto3, including IAM role setup, CloudWatch logs, and S3 event triggers.

Trigger a lambda function on a CSV upload to S3 and persist parsed records to DynamoDB, demonstrating a boto3-driven, event-driven pipeline from S3 to DynamoDB using Python.

Schedule AWS EC2 instances with a Lambda and CloudWatch events, using a type=scheduled tag to start at 9 a.m. and stop at 6 p.m., Monday through Friday.

Learn to identify and remove unused AMIs in your AWS account using Python and boto3, by listing in-use images, filtering available custom AMIs, and deregistering unused ones.

Implement a lambda function that triggers on a specific ec2 instance stop in production to publish a message to an sns topic, which emails subscribers using boto3 and cloudwatch events.

Explore DynamoDB, AWS's fast NoSQL service, delivering single-digit millisecond latency at any scale with document-based and key-value data models, fully managed, boosted by DAX clusters.

Create a DynamoDB table with a partition key (primary key) and optional sort key, set provisioned capacity, and explore items and attributes with a dynamic schema using Boto3.

Learn to retrieve a DynamoDB item via get_item with a primary key and to delete it with delete_item, verifying the changes via the response.

Learn to upload files to an S3 bucket with boto3's put_object in Python, read a local file, and store it as a private object, then verify in the management console.

delete a specific object from s3 using boto3 in python by creating a delete object script, supplying bucket and key, and confirming successful deletion in the console.

Learn to list all objects in an S3 bucket with boto3 in Python by using the list objects method and printing each object's key from the response contents.

Learn to list all buckets with boto3, iterating the response dictionary to extract and print each bucket name.