Introduction to Kubefirst

• Basic knowledge of computer architecture and memory hierarchy
• Familiarity with Docker and Kubernetes concepts and commands

Audience

• Developers

Kubefirst is an open source instant GitOps platform that simplifies, secures, and accelerates Kubernetes and Swarm cluster management at enterprise scale.

This instructor-led, live training (online or onsite) is aimed at beginner-level developers who wish to learn the basics of Kubefirst and how it simplifies, secures, and accelerates Kubernetes and Swarm cluster management at enterprise scale.

By the end of this training, participants will be able to:

• Set up a Kubefirst development environment.
• Write and run a basic Kubefirst program.
• Annotate code with Kubefirst directives and clauses.
• Use Kubefirst API and libraries.
• Profile and debug Kubefirst programs.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

• What is Kubefirst?
• Overview of Kubefirst features and architecture
• Integration with open source tools (Terraform, Vault, Argo, etc.)

Setting up Development Environment

• Installing and configuring Kubefirst SDK
• Choosing and setting up cloud platforms (Local, AWS, Civo, etc.)
• Creating a Kubefirst project in Visual Studio Code
• Exploring the project structure and files

Kubefirst Programming Model

• Understanding Kubefirst directives and clauses
• Using parallel directives for creating parallel regions
• Using kernels directives for parallelizing kernels
• Using loop directives for parallelizing loops

Kubefirst Data Management

• Managing data movement with data directives
• Synchronizing data with update directives
• Improving data reuse with cache directives
• Creating device functions with routine directives

Kubefirst API and Libraries

• Understanding Kubefirst API in host programs
• Using Kubefirst API for querying device information
• Setting device number and type with Kubefirst API
• Handling errors and exceptions with Kubefirst API
• Using Kubefirst libraries (math, random, complex)

Kubefirst Tools

• Understanding the role of Kubefirst tools
• Using tools for profiling and debugging Kubefirst programs
• Measuring and improving execution time with tools (PGI Compiler, NVIDIA Nsight Systems, Allinea Forge)

Kubefirst Applications

• Best practices for developing and deploying with Kubefirst
• Interoperating with other programming models (CUDA, OpenCL, SYCL)
• Integrating with GPU libraries (cuBLAS, cuFFT)
• Demonstrating Kubefirst Metaphor demo application

Summary and Next Steps