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Pipekit scales data & CI pipelines for enterprises
Our app manages Argo Workflows for data teams, enabling complex data & CI pipelines in half the time while saving companies hundreds of thousands of dollars annually. We maintain Argo Workflows, an open-source pipeline framework for Kubernetes that’s used in production by Bloomberg, Intuit, Adobe, New Relic, NVIDIA, and many other open-source early adopters.
Pipekit provides a managed control plane and enterprise support for Argo Workflows, enabling multi-cluster, multi-cloud orchestration with governance, observability, and SLA-backed support. It aims to simplify scaling Argo across teams while reducing maintenance and cloud spend. Pricing mentions starting per cluster with a free trial offer.
Pipekit offers a centralized control plane to run, monitor, and govern Argo Workflows at scale. It provides multi-cluster workflows, SSO/RBAC, observability, and a modern UI to manage jobs, users, and clusters from a single pane. It can be deployed cloud or self-hosted, integrates with Kubernetes and Argo, and includes enterprise support with SLAs, roadmap access, and direct access to maintainers.
Who it’s for: Platform teams and enterprises running open source Argo who need expert help, governance, multi-cluster/multi-cloud orchestration, and vendor-supported reliability.
Mentions enterprise customers, free trial, pricing page, case studies and talks; ongoing emphasis on enterprise features and support
Co-founder, CEO @ Pipekit (S21) (https://pipekit.io) ex-Kite, Expo, McKinsey Functional strengths: community, marketing, ops, finance Industry experience: dev tools, OSS, digital health
Founder, CTO @ Pipekit (S21) (https://pipekit.io) ex-Docker Industry experience: Dev tools, OSS, investment banking
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