Python and Boto3 for Cloud Automation
Learn to automate AWS with Python and boto3: sessions, credentials, paginators, waiters, retries, and safe cleanup scripts with a dry-run default.
What You'll Learn
Understanding Why Engineers Automate AWS with Python
A cloud engineer at acme-shop got a Friday task that sounded simple: find every unattached EBS volume across the account and delete the ones older...
Setting Up boto3 and Making a First Call
Before automating anything, you need boto3 installed and credentials it can find.
Choosing Sessions, Credentials, and Regions
Every boto3 call runs as some identity, in some Region.
Listing Resources Reliably with Paginators
The first thing most automation does is list things: all buckets, all instances, all volumes.
Waiting for Resources and Handling Errors
AWS operations are often asynchronous: you ask for an instance and it takes time to become ready.
Writing Practical Automation Scripts
With sessions, pagination, waiters, and errors in hand, you can write the scripts engineers actually run.
Skills You'll Master
Curriculum Index9 topics
Understanding Why Engineers Automate AWS with Python
A cloud engineer at acme-shop got a Friday task that sounded simple: find every unattached EBS volume across the...
Setting Up boto3 and Making a First Call
Before automating anything, you need boto3 installed and credentials it can find.
Choosing Sessions, Credentials, and Regions
Every boto3 call runs as some identity, in some Region.
Listing Resources Reliably with Paginators
The first thing most automation does is list things: all buckets, all instances, all volumes.
Waiting for Resources and Handling Errors
AWS operations are often asynchronous: you ask for an instance and it takes time to become ready.
Writing Practical Automation Scripts
With sessions, pagination, waiters, and errors in hand, you can write the scripts engineers actually run.
Running the Same Logic in AWS Lambda
Most small AWS automation does not run from a laptop forever.
Running the Lab: A Safe EBS Cleanup Script
In this lab you build the script from the opening story, safely.
Reviewing boto3: Quick Reference, Common Mistakes, and Next Steps
Quick reference Common mistakes Hardcoding credentials in the script.
Career Impact
Roles that use the skills in this module.
Cloud Engineer
DevOps Engineer
Solutions Architect
Site Reliability Engineer
Next Modules
Related Guides
Practice on the Coding Sheet
Not a software engineer sheet. Every problem comes from real DevOps, SRE, Platform and Cloud interviews, from your first script to a system you build yourself.
Open the Coding SheetFrequently Asked Questions
Use the client for everything new. It is a thin, complete wrapper over every AWS API and matches the documentation one to one. The higher-level resource interface is friendlier for a few services but is in maintenance mode, so a script written on the client will age better.
From the default credential chain, never hardcoded in code. On your laptop that means a named profile or AWS IAM Identity Center login; in a Lambda or on an EC2 instance it means the attached IAM role. Letting the chain resolve credentials keeps secrets out of your source.
Most AWS list APIs are paginated and return one page at a time with a token for the next. If you call the API once you see only the first page. Use a paginator, which follows the tokens for you and yields every page until there are none left.
Default it to dry-run. Have the script print exactly what it would delete and change nothing unless the caller passes an explicit flag such as --apply. This turns a dangerous script into one that is safe to run first and destructive only on purpose.