The control plane that turns Argo Workflows into an enterprise-scale platform. Run, monitor, and govern Argo across teams, clusters, and clouds, backed by the engineers who maintain it.
Learn how Bloomberg and Pipekit both use Argo Workflows on our infrastructures to simplify data operations.
Pipekit eliminates the operational complexity of running Argo Workflows at scale, bringing centralized management, enterprise governance, observability, and multi-cluster orchestration into one control plane.
Where open-source Argo is powerful but fragmented, Pipekit makes it operationally simple, secure, and scalable. It accelerates production readiness while reducing infrastructure risk and engineering overhead.
Direct access to the engineers who maintain Argo, with SLAs, roadmap influence, and architecture expertise. We help enterprises operationalize open source, without the risk of vendor lock-in.
What it is
Enterprise support for Argo, directly from the maintainers
Who it's for
Teams running open-source Argo who need expert help at scale
Key value
Mitigate risk, cut cloud spend, resolve production issues faster
Key features
SLA-backed maintainer access, roadmap influence, scaling and architecture reviews
Deploy options
Self-hosted
The control plane for Argo Workflows. Unify deployments across clusters, enforce governance, and give developers a modern UI, all from one single pane of glass.
What it is
A centralized platform to run, monitor, and govern Argo at scale
Who it's for
Platform teams managing multi-team or multi-cluster Argo
Key value
Scale to multi-cloud, debug faster, cut maintenance cost
Key features
Multi-cluster workflows, SSO/RBAC and audit logs, observability
Deploy options
Cloud or self-hosted
Argo Workflow
maintainers
Argo Workflow
contributors
Support across 4
global time zones
Argo
PRs merged
Argo
PRs reviewed
ArgoCon
talks given
Run Argo across teams and environments without stitching together tools or writing custom scripts. A modern UI replaces the OSS console as your daily driver, with one-click pod logs and long-term run history.
Manage every workflow, cluster, and region from one dashboard. Trace runs across clusters and monitor fleet health from a single pane, instead of a separate login per controller.
When something breaks, you go straight to the people who maintain Argo. SLA-backed support and scaling expertise, not a tier-1 queue.
Get SSO, RBAC, and audit logs without giving up the flexibility of open source. Everything you need to scale Argo securely, with no vendor lock-in.
Argo is powerful, but it wasn't built to scale across teams and clusters without serious overhead. We built Pipekit to close that gap.
Most teams stitch together DIY tooling or fall back to legacy orchestrators like Airflow and hit a cost and scale ceiling. Pipekit offers a third path: a managed control plane on top of the Argo you already run, so teams scale, cut cloud spend, and keep open-source portability.
Boost pipeline speed & reliability
Streamline engineering resources
Accelerate data-to-value
Standardize workflow and app deployments
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