Argo Workflows
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 kubectl.
Related articles
GitOps in practice, deploy Kubernetes applications with ArgoCD
Categories: Containers Orchestration, DevOps & SRE, Adaltas Summit 2021 | Tags: Argo CD, CI/CD, Git, GitOps, IaC, Kubernetes
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
Apache Hop 101, introduction and installation
Categories: Data Engineering | Tags: Data Engineering, DevOps, Learning and tutorial, Pipeline, Airflow, Hop, Iceberg, NiFi, Argo Workflows, Docker, Git
Apache Hop is an ETL (Extract Transform and Load) tool designed to make pipeline development intuitive, maintainable, and scalable. Originally forked from the Pentaho Data Integration (PDI or Kettle…
By Mori HUANG
May 10, 2026
