Argo Workflows is a Kubernetes-native workflow execution engine that allows users to easily orchestrate parallel jobs in a cluster. It provides robust functionality for demanding workflow configurations and is popular for implementing containerized workflow pipelines. Some use cases for Argo Workflows include batch processing and data ingest, machine learning model training, and infrastructure automation. Argo Workflows can be used as an alternative to Kubernetes Jobs for more complex workflow processes. It is different from Argo CD, another tool in the Argo project, which focuses on CI/CD pipeline deployment. Other alternatives to Argo Workflows include Apache Airflow, Conductor, Prefect, and Google Cloud Workflows.
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What is the difference between Argo Workflows and Kubernetes jobs?What is the difference between Argo Workflows and Argo CD?Sort: