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ARGO Container Orchestration

Information Technology > Continuous Integration/Continuous Deployment

Description

ARGO Container Orchestration is a powerful tool designed to automate the deployment, management, and scaling of containerized applications. It leverages Kubernetes, enhancing it with workflows for complex job sequencing, events for triggering workflows, and continuous delivery capabilities for updating applications seamlessly. Users progress from basic tasks like setting up simple workflows to advanced operations such as implementing multi-step workflows with dynamic parameters and securing applications. Expertise in ARGO involves designing complex solutions, contributing to its development, and integrating it with other tools for comprehensive automation. This skill set enables developers and DevOps professionals to efficiently manage containerized applications, ensuring they are reliable, scalable, and consistently updated through automated processes.

Expected Behaviors

✎
LEVEL 1

Fundamental Awareness

Individuals at this level have a basic understanding of container orchestration concepts, know about Kubernetes, and are introduced to ARGO and GitOps. They recognize the significance of these technologies but lack hands-on experience.

🌱
LEVEL 2

Novice

Novices can set up simple ARGO Workflows, manage them using the ARGO CLI, and understand basic manifest files. They start troubleshooting but their skills are limited to foundational tasks and simple workflows.

🌍
LEVEL 3

Intermediate

At the intermediate level, individuals implement multi-step workflows, utilize artifacts, and parameterize workflows. They can configure event-based triggers, have a basic grasp of ARGO Events and CD, and perform intermediate troubleshooting.

⭐
LEVEL 4

Advanced

Advanced users design complex workflows, secure ARGO deployments with RBAC, customize ARGO CD, integrate external services, and optimize performance. They have strong troubleshooting skills and can implement custom plugins.

🏆
LEVEL 5

Expert

Experts architect enterprise-level solutions, contribute to ARGO's development, extend its functionality, and lead its adoption. They perform in-depth performance tuning, ensure high availability, and integrate ARGO into comprehensive automation strategies.

Micro Skills

✎
LEVEL 1

Fundamental Awareness

Understanding container orchestration
Objectives of container orchestration
Familiarity with different tools
Choosing the right tool
Core features overview
Kubernetes architecture
Kubernetes components
Understanding Kubernetes objects
Getting started with kubectl
Common kubectl operations
ARGO components
Use cases for ARGO components
Practical applications
GitOps fundamentals
Benefits of GitOps with ARGO CD
GitOps workflow components
🌱
LEVEL 2

Novice

Prerequisites
Installation steps
Understanding YAML syntax
Defining a workflow in YAML
Using ARGO CLI
Using ARGO UI
Accessing workflow details
Inspecting workflow execution
Reviewing logs and outputs
Using templates
Writing workflows from scratch
Using 'argo list' command
Using 'argo delete' command
Familiarizing with workflow statuses
Managing workflow lifecycle
Downloading and installing
Configuring ARGO CLI
Preparing workflow files
Command line submission
Identifying step names
Using 'argo logs' command
Listing workflows
Workflow management commands
Locating error messages
Common ARGO errors
Executing 'argo describe'
Modifying workflow definitions
Resubmission process
🌍
LEVEL 3

Intermediate

Defining steps in a workflow manifest
Using templates to create reusable steps
Managing dependencies between steps
Configuring input and output artifacts
Storing artifacts in supported storage
Passing artifacts between workflow steps
Defining parameters in workflow manifests
Passing parameters at runtime
Using global parameters
Setting up webhooks for triggering workflows
Using ARGO Events sensors and gateways
Integrating with external event sources
Reading and interpreting ARGO Workflows logs
Using ARGO CLI for log retrieval and analysis
Identifying common error patterns and their solutions
Creating event sources for different types of events
Setting up sensors to react to events
Linking events to ARGO Workflows or ARGO CD actions
Installing and configuring ARGO CD
Defining application resources for deployment
Understanding the synchronization process between Git repositories and clusters
⭐
LEVEL 4

Advanced

Understanding DAG fundamentals
Creating DAG templates in ARGO
Managing task dependencies
Defining recursive workflows
Optimizing recursive execution
Understanding Kubernetes RBAC
Defining ARGO-specific roles and permissions
Creating project-specific access controls
Implementing user authentication and authorization
Understanding CRDs in Kubernetes
Developing and deploying CRDs
Understanding ARGO CD hooks
Implementing hooks in application deployments
Understanding sync waves
Applying sync waves in application manifests
Understanding Kustomize
Creating and applying overlays
Understanding event sources
Integrating event sources with ARGO Workflows
Understanding event buses
Implementing event bus for high availability
Understanding event triggers
Creating custom triggers
Log analysis techniques
Troubleshooting common issues using logs
Setting up monitoring infrastructure
Creating custom metrics and alerts
Root cause analysis techniques
Documenting and sharing findings
Understanding alerting mechanisms
Integrating alerts with notification channels
🏆
LEVEL 5

Expert

Assessing organizational requirements and constraints for ARGO integration
Mapping business processes to workflow automation
Defining security and compliance standards for ARGO deployments
Architecting scalable and resilient ARGO infrastructure
Selecting and integrating third-party services and tools with ARGO
Setting up development environment for ARGO contributions
Understanding ARGO project structure and contribution guidelines
Identifying and addressing issues in the ARGO project issue tracker
Writing and submitting patches for bug fixes or feature enhancements
Improving ARGO documentation for clarity and comprehensiveness
Participating in ARGO community discussions and decision-making
Analyzing use cases for custom functionality
Designing and implementing custom workflow templates or controllers
Developing custom plugins or executors for specific tasks
Integrating ARGO with proprietary or legacy systems
Ensuring extensibility through modular design
Monitoring ARGO components and workflows for performance bottlenecks
Analyzing workflow execution logs and metrics
Tuning workflow and system configurations for optimal performance
Implementing caching strategies for frequently used resources
Automating performance testing of ARGO workflows
Designing redundant and failover mechanisms for ARGO components
Implementing data backup and restore procedures for ARGO databases
Configuring multi-region or multi-cluster ARGO deployments
Testing and validating disaster recovery plans
Documenting high-availability and disaster recovery procedures
Developing training programs for developers and operators
Creating internal documentation and best practices guides
Facilitating cross-functional teams for ARGO adoption
Measuring and reporting on ARGO adoption metrics
Organizing workshops and hackathons to encourage innovation with ARGO
Evaluating and selecting tools for integration with ARGO
Designing integration patterns and protocols
Implementing secure and efficient data exchange mechanisms
Automating end-to-end workflows across multiple platforms
Monitoring and maintaining integrated systems for reliability

Skill Overview

  • Expert2 years experience
  • Micro-skills132
  • Roles requiring skill2

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