# Creating an AI-Powered DevOps Team | Python, Groq, and Llama in Action!
Welcome to another video where we explore the future of DevOps with AI! In this episode, we'll demonstrate how to create a fully functional DevOps team using only AI agents built with Python, Groq, and Llama.
Watch as our AI team review and analyze code, identifies deliberately inefficient Python code block, and suggests optimized solutions with code examples.
We'll also be showing you how the team are creating a runnable Docker image for our website's HTML code and generating Kubernetes manifests from simple text instructions.
Discover the potential of infinitely scalable DevOps teams, available 24/7!
## What You'll See In Action:
- Building an AI-powered DevOps team using Python, Groq, and Llama
- Implementing code reviews and analysis with AI agents
- Identifying and optimizing inefficient Python code
- Creating and deploying Docker images for your website
- Generating Kubernetes manifests from text-based instructions
- Exploring the scalability and availability of AI-driven DevOps teams
- Creating a GitHub Actions pipeline yaml file
## Tools and Technologies Used:
- **Python**: Core programming language for scripting and automation.
- **Groq**: Leveraging Groq's capabilities for efficient AI processing.
- **Llama**: Utilizing Llama for advanced AI-driven tasks.
- **Docker**: Creating runnable Docker images for easy deployment.
- **Kubernetes**: Generating manifests for scalable container orchestration.
- **GitHub**: For version control, collaboration, and project management.
Project Code: https://github.com/talkitdoit/build-a-devops-team-using-ai-agents
## Next Steps:
In upcoming videos, we'll dive deeper into enhancing our AI DevOps team's capabilities, integrating more advanced tools, and automating additional aspects of the development pipeline. Make sure to subscribe and enable notifications so you don't miss out on the latest advancements in AI-driven DevOps and also Platform and SRE teams!
## Timestamps:
- **0:00** Intro
- **0:00:10** Open Question
- **0:00:26** What are we building
- **0:00:35** Meet the team
- **0:01:20** Inputs and instructions
- **0:01:38** Quick look at python code for AI agents
- **0:02:22** Running the workflow
- **0:02:48** Check the teams work
- **0:02:53** Generated Kubernetes Manifest from Text Instructions
- **0:03:03** Validation report
- **0:03:14** Code review report
- **0:03:43** Deliberate error
- **0:03:55** Restart and Re-run the team
- **0:04:14** Check the fix worked
- **0:04:27** Run the website image the team created
- **0:04:50** Outro
- **0:05:15** End
## HASHTAGS:
#AI #DevOps #Python #Groq #Llama #Docker #Kubernetes #Automation #AIAgents #WebDevelopment #ScalableDevOps #Programming #TechInnovation