Kubernetes for Data

Kubernetes for Data

Learning Kubernetes For Data

This video series covers the Kubernetes ecosystem for data. Lessons Covered Include Six Key Lessons:

• 1.0 What is Kubernetes?
• 1.1 Cluster Architecture
• 1.2 Pods and Nodes
• 1.3 Services and Deployments
• 1.7.2 cloud developer workspace advantage

• 2.1 Key Concepts GitHub Ecosystem
• 2.2 demo GitHub Repo with teaching template
• 2.3 demo codespaces
• 2.4 demo gpu whisper
• 2.5 demo gpu hugging face fine tuning
• 2.6 demo copilot
• 2.7 demo github actions

• 3.0 Running Kubernetes with Minikube in GitHub Codespaces
• 3.1 Running Minikube with FastAPI to run Kubernetes in GitHub Codespaces

• 4.1 Build a tiny Bash container using GitHub Codespaces and Docker Hub
• 4.2 AWS App Runner Python
• 4.3 PyTorch Fastapi deploy app runner

• 5.0 Options for Container Orchestration
• 5.1 GCP Cloud Run
• 5.2 AWS App Runner C#
• 5.3 AWS ECS Farget Dotnet Microservice

• 6.0 Load-testing with Locust
• 6.1 Logging and Monitoring
• 6.2 SRE Mindset for MLOps
• 6.3 Operationalize Microservice
• 6.4 Continuous Integration for Microservices
• 6.5 What is Continuous Delivery?

• Learn Kubernetes for Data
• Learning to build solutions with Kubernetes for Data
• Learning the key syntax and features of Kubernetes for Data

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