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Intermediate Argo

Course Summary

The Intermediate Argo training course is designed to demonstrate how to use Argo Workflows, a container native workflow engine for orchestrating jobs in Kubernetes.

The course begins with an introduction to Argo and how to examine the simplified operation and monitoring. Next, it explores how complex workflows can be created and executed on a Kubernetes cluster. The course concludes by describing how to create templates and cron workflows.

Purpose
Promote an in-depth understanding of Argo and how to use it to create complex workflows.
Audience
Developers and operations teams familiar with Kubernetes who are looking to incorporate Argo in their workflows.
Role
DevOps Engineer - Software Developer - System Administrator
Skill Level
Intermediate
Style
Workshops
Duration
2 Days

 

Productivity Objectives
  • Create complex workflows using Argo
  • Leverage triggers using the different concepts and workflow functionalities
  • Create workflow templates
  • Utilize workflow templates as building blocks for complex workflows
  • Know the full scope of the Argo features

What You'll Learn:

In the Intermediate Argo training course, you'll learn:
  • Installation
  • Argo Server User Interface
  • Basic Workflow
  • Core Concepts
  • Template Definitions
    • Container template
    • Script template
    • Resource template
    • Template invocators
    • Steps template serial
    • Steps template parallel
    • Suspend template
    • DAG template
  • Logs/MinIO
  • Installation Argo CLI
  • Input Parameters
  • Script Result
  • Output Parameters
  • Output Parameter File
  • Artifacts
  • Secrets
    • Secrets as environment variables
    • Secrets as mounted volumes
  • Loops
    • Loops with sets
    • Loops with sets as input parameters
    • Dynamic Loops
  • Conditionals
    • Depends
    • Depends theorie
  • Retry Strategy
  • Recursion
  • Workflow Templates
    • Cron workflows
    • Cluster workflow template
    • Reference to workflow templates
    • Creating a master workflow
  • AWS S3 as an Artifact Repository
  • AWS S3 as Logging and Artifact Repository
  • Archiving Workflows
  • Namespaces
  • Service Accounts
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

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