This document outlines a Python for DevOps program that covers infrastructure maintenance and configuration, continuous integration and deployment, migrations, monitoring, and on-call support. It discusses tools like Elasticsearch, Docker, and Cloud APIs. The learning stack includes Python basics, operating system modules, file processing, testing and debugging. Implementation involves Docker, DevOps tools, Python modules, deployment, and monitoring with Logstash. Prerequisites include DevOps modules experience and hands-on Linux skills.

1. PYTHON FOR
DEVOPS

2. AGENDA
 About this Program
 What, Why and How
 Questionnaire and conclusion

3. DevOps

4. DevOps Architect Roles and Responsibilities
• Maintaining and creating Infrastructure
• Maintain unique configuration
• Continues integration and Deployment
• Migrations
• Monitoring
• Security
• On call support with operations

5. Infrastructure

7. ElasticSearch
Query ES
Filter

8. CERTS
SSH KEYS
api server
tokens

9. System automation

10. Cloud Automation

11. LEARNING STACK
Basics
Conditions
Loops
Data structures
Etc..
Operating
System
OS Modules
Copy
Move
File
permissions
Etc..
File Processing
Different
format files
Handling
Binary format
Read, write
Etc..
Testing &
Debugging
Unit testcases
Python
Debugger
Productive
Development

12. DEVOPS TOOLS
Docker Containers Cloud API
Infrastructure as
code

13. IMPLEMENTATION STACK
Docker
All Devops
tools list
Py modules
List Of all PIP
modules
Deployment
Packaging
Monitoring and
Logging
Logstash

14. Any prerequisites?
• Devops Modules
• Hands on in Linux
• Time for Practice.

15.  Conclusion And Thanks
 Where you Stand