Argo Workflows is a native Kubernetes workflow engine. The engine can be used to define, plan, coordinate and execute complex workflows. In the form of a directed acyclic graph (DAG), Argo models the creation of workflows composed of several steps as a sequence of interdependent tasks. Each task making up the workflow can be executed in a container.
Typical uses of Argo Workflow are compute-intensive work in the field of
data processing and machine learning or pipelines for CI/CD (Continuous
Integration / Continuous Delivery). Argo Workflows is implemented with
Kubernetes CRD (Custom Resource Definition). As a result, Argo integrates
natively with Kubernetes and allows you to manage workflows with
GitOps is a set of practices to deploy applications using Git. Application definitions, configurations, and connectivity are to be stored in a version control software such as Git. Git then serves as…
Dec 16, 2021