Explore a conference talk from Conf42 Prompt Engineering 2024 that delves into the capabilities of Large Language Models (LLMs) in understanding complex codebases, specifically focusing on the Linux kernel. Learn about the challenges and potential solutions in using LLMs to comprehend extensive software systems, with practical insights from speaker Yusheng Zheng. Discover key topics including AWS and Kubernetes integration, cluster management strategies, GitOps implementation, infrastructure deployment using Terraform and EKS Blueprints, and the effective use of Argo CD for enhanced management. Gain valuable knowledge about the Hub and Spoke model for cluster management and essential security best practices, concluding with actionable resources for further exploration.
Overview
Syllabus
Introduction to AWS and Kubernetes
Challenges of Managing Multiple Clusters
The Push Model and Its Limitations
Introduction to GitOps
Deploying Clusters with Terraform and EKS Blueprints
Integrating Argo CD for Better Management
Hub and Spoke Model for Cluster Management
Security Best Practices
Conclusion and Further Resources
Taught by
Conf42
