Workflow engine for Kubernetes
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Updated
Mar 6, 2023 - Go
Argo is an international program that measures water properties across the world’s ocean using a fleet of robotic instruments that drift with the ocean currents and move up and down between the surface and a mid-water level. Each instrument (float) spends almost all its life below the surface. The name Argo was chosen because the array of floats works in partnership with the Jason earth observing satellites that measure the shape of the ocean surface. (In Greek mythology Jason sailed on his ship the Argo in search of the golden fleece).
Workflow engine for Kubernetes
Declarative continuous deployment for Kubernetes.
Event-driven automation framework
A curated list of awesome projects and resources related to Argo (a CNCF graduated project)
A Collection of GitHub Actions That Facilitate MLOps
Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core
A python library for Argo data beginners and experts
Orkestra is a cloud-native release orchestration and lifecycle management (LCM) platform for the fine-grained orchestration of inter-dependent helm charts and their dependencies
Reproducible infrastructure to showcase GitOps workflows and evaluate different GitOps Operators on Kubernetes
Declarative pull-based GitOps repository representing the state of a Kubernetes cluster
This repo contains Kubernetes manifests for the below mentioned topics
Python DSL for Argo Workflows | Mirrored to https://github.com/argoproj-labs/argo-python-dsl
Atlas enables you to easily create and manage flexible, cloud-native deployment pipelines for Kubernetes-based applications. It is an open-source tool that allows complete configurability and modifiability (in the form of tasks/tests and pipeline structure) with very little overhead. Atlas is built on top of Argo.