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Text of the page (random words):
argo workflows the workflow engine for kubernetes skip to content argo workflows the workflow engine for kubernetes home initializing search github home getting started user guide operator manual telemetry developer guide roadmap blog slack twitter linkedin argo workflows the workflow engine for kubernetes github home home table of contents what is argo workflows use cases why argo workflows try argo workflows who uses argo workflows ecosystem client libraries quickstart documentation features community meetings community blogs and presentations project resources security generative ai getting started getting started quick start training walk through walk through about argo cli hello world parameters steps dag the structure of workflow specs artifacts hardwired artifacts scripts and results output parameters secrets volumes loops conditionals recursion retrying failed or errored steps exit handlers timeouts annotations suspending kubernetes resources daemon containers sidecars docker in docker using sidecars custom template variable reference continuous integration examples user guide user guide core concepts custom resource kinds custom resource kinds workflow templates cluster workflow templates cron workflows template types template types http template containerset template data sourcing and transformations resource template suspend template inline templates artifacts artifacts workflow inputs key only artifacts artifact repository ref conditional artifacts and parameters artifact driver plugin development access control access control service accounts workflow rbac features features workflow variables variable catalog retries lifecycle hook synchronization step level memoization template defaults enhanced depends logic node field selectors automatic pod restarts status status resource duration estimated duration workflow progress workflow creator patterns patterns empty dir cron backfill workflow of workflows workflow notifications work avoidance webhdfs via http artifacts ui features ui features artifact visualization widgets intermediate parameters title and description debugging tools debugging tools workflow events debug pause api api rest api access token api examples events webhooks one workflow submitting another asynchronous job pattern client libraries argo workflows go sdk guide api reference executor plugins executor plugins executor plugins executor plugins the api for an executor plugin plugin directory best practices best practices workflow pod security context tolerating pod deletion running at massive scale use cases use cases ci cd data processing infrastructure automation machine learning stream processing other workflow telemetry workflow telemetry workflow telemetry faq kubectl ide set up field reference cli reference cli reference argo argo archive argo archive delete argo archive get argo archive list argo archive list label keys argo archive list label values argo archive resubmit argo archive retry argo auth argo auth token argo cluster template argo cluster template create argo cluster template delete argo cluster template get argo cluster template lint argo cluster template list argo cluster template update argo completion argo convert argo cp argo cron argo cron argo cron create argo cron delete argo cron get argo cron lint argo cron list argo cron resume argo cron suspend argo cron update argo delete argo executor plugin argo executor plugin build argo get argo lint argo list argo logs argo node argo resubmit argo resume argo retry argo server argo stop argo submit argo suspend argo sync argo sync create argo sync delete argo sync get argo sync update argo template argo template create argo template delete argo template get argo template lint argo template list argo template update argo terminate argo version argo wait argo watch operator manual operator manual installation crd installer image releases upgrading guide new features in v4 1 2026 08 11 security configuration configuration managed namespace workflow controller configmap configuring your artifact repository configuring archive logs links environment variables default workflow spec offloading large workflows workflow archive database migrations telemetry deprecations workflow executors init less pod layout workflow restrictions sidecar injection service account secrets managing synchronization limits via api limiting parallelism argo server argo server argo server argo server auth mode transport layer security argo server sso use argo cd dex for authentication best practices best practices high availability ha disaster recovery dr scaling cost optimization windows container support telemetry telemetry getting started with opentelemetry telemetry metrics tracing developer guide developer guide contributing try argo using nix architecture running locally documentation changes public api artifact driver plugin development static code analysis stress testing release instructions survey data privacy roadmap blog slack twitter linkedin table of contents what is argo workflows use cases why argo workflows try argo workflows who uses argo workflows ecosystem client libraries quickstart documentation features community meetings community blogs and presentations project resources security generative ai home what is argo workflows argo workflows is an open source container native workflow engine for orchestrating parallel jobs on kubernetes argo workflows is implemented as a kubernetes crd custom resource definition define workflows where each step is a container model multi step workflows as a sequence of tasks or capture the dependencies between tasks using a directed acyclic graph dag easily run compute intensive jobs for machine learning or data processing in a fraction of the time using argo workflows on kubernetes argo is a cloud native computing foundation cncf graduated project use cases machine learning pipelines data and batch processing infrastructure automation ci cd other use cases why argo workflows argo workflows is the most popular workflow execution engine for kubernetes light weight scalable and easier to use including for python users through the hera python sdk for argo workflows designed from the ground up for containers without the overhead and limitations of legacy vm and server based environments cloud agnostic and can run on any kubernetes cluster read what people said in our latest survey try argo workflows you can try argo workflows via one of the following interactive training material access the demo environment who uses argo workflows about 200 organizations are officially using argo workflows ecosystem just some of the projects that use or rely on argo workflows complete list here argo events hera katib kedro kubeflow pipelines netflix metaflow piper seldon sqlflow client libraries check out our java golang python hera and typescript juno clients quickstart get started here walk through examples documentation you re here features an incomplete list of features argo workflows provides ui to visualize and manage workflows artifact support s3 artifactory alibaba cloud oss azure blob storage http git gcs raw plugins workflow templating to store commonly used workflows in the cluster archiving workflows after executing for later access scheduled workflows using cron server interface with rest api http and grpc dag or steps based declaration of workflows step level input outputs artifacts parameters loops parameterization conditionals timeouts step workflow level retry step workflow level resubmit memoized suspend resume cancellation k8s resource orchestration exit hooks notifications cleanup garbage collection of completed workflow scheduling affinity tolerations node selectors volumes ephemeral existing parallelism limits daemoned steps dind docker in docker script steps event emission prometheus metrics multiple executors multiple pod and workflow garbage collection strategies automatically calculated resource usage per step java golang python hera and typescript juno sdks pod disruption budget support single sign on oauth2 oidc webhook triggering cli out of the box and custom prometheus metrics windows container support embedded widgets multiplex log viewer community meetings we host monthly community meetings where we and the community showcase demos and discuss the current and future state of the project feel free to join us for community meeting information minutes and recordings please see here participation in argo workflows is governed by the cncf code of conduct community blogs and presentations awesome argo a curated list of awesome projects and resources related to argo automation of everything how to combine argo events workflows pipelines cd and rollouts argo workflows and pipelines ci cd machine learning and other kubernetes workflows argo ansible role provisioning argo workflows on openshift argo workflows vs apache airflow beyond prototypes production ready ml systems with metaflow and argo ci cd with argo on kubernetes define your ci cd pipeline with argo workflows distributed machine learning patterns from manning publication engineering cloud native ai platform managing thousands of automatic machine learning experiments with argo and katib autonomous driving data pipelines reconstruction with argo workflows revolutionizing scientific simulations with argo workflows running argo workflows across multiple kubernetes clusters scaling kubernetes best practices for managing large scale batch jobs with spark and argo workflow open source model management roundup polyaxon argo and seldon producing 200 openstreetmap extracts in 35 minutes using a scalable data workflow production ready ai platform on kubernetes argo integration review tgi kubernetes with joe beda argo workflow system project resources argo project github organization argo website argo slack contributing governance code of conduct security see security generative ai contributions using generative ai tools must follow the argo project generative ai policy have a question search on github discussions and slack back to top made with material for mkdocs
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