What GitOps tools does this skill support?

It primarily focuses on ArgoCD and its ApplicationSet controller, but also includes patterns for Harness GitX and general Kubernetes deployment strategies.

Does it support safe rollout strategies?

Absolutely, it includes patterns for progressive delivery such as Canary and Blue-Green deployments to minimize the risk of new releases using automated health checks.

How does the ApplicationSet generator work?

It automates the creation of ArgoCD Applications by using templates that pull data from various sources like Git repositories, cluster labels, or static lists.

Can this skill help with multi-cluster management?

Yes, it provides specific generators (Cluster and Matrix) designed to manage deployments across large fleets of Kubernetes clusters efficiently.

GitOps Patterns & Progressive Delivery

Name: GitOps Patterns & Progressive Delivery
Author: Lobbi-Docs

byLobbi-Docs

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Despliegue y DevOps

Automates Kubernetes application deployments using ArgoCD ApplicationSets and progressive delivery strategies like Canary and Blue-Green.

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This skill provides standardized patterns for scaling Kubernetes deployments across multiple clusters and environments using GitOps principles. It offers implementation guides for various ArgoCD ApplicationSet generators, enables progressive delivery workflows for safer releases, and supports fleet management for enterprise-grade infrastructure. Whether you are setting up a microservices architecture or managing global multi-region clusters, this skill provides the configuration templates and best practices needed for robust, automated delivery pipelines.

Características Principales

Automated application discovery through Git directory and file-based generators
Harness GitX integration for bi-directional Git synchronization
Layered configuration management via Merge generators for DRY manifests
Progressive delivery strategies including Canary and Blue-Green rollouts
1 GitHub stars
Multi-cluster fleet management using Cluster and Matrix generators

Casos de Uso

Implementing self-service application onboarding in a microservices environment
Managing multi-region Kubernetes cluster addons with a single configuration
Transitioning from manual deployments to automated, metric-based progressive rollouts

Acerca de

Características Principales

Automated application discovery through Git directory and file-based generators
Harness GitX integration for bi-directional Git synchronization
Layered configuration management via Merge generators for DRY manifests
Progressive delivery strategies including Canary and Blue-Green rollouts
1 GitHub stars
Multi-cluster fleet management using Cluster and Matrix generators

Casos de Uso

Implementing self-service application onboarding in a microservices environment
Managing multi-region Kubernetes cluster addons with a single configuration
Transitioning from manual deployments to automated, metric-based progressive rollouts