Sold by: HamadaLabs
Deployed on AWS
WindyFlo is a Kubernetes-native workflow automation platform for building, running, and scaling AI-driven agents and pipelines. Deploy on your own EKS cluster with full control over data and infrastructure.
Overview
WindyFlo is a self-hosted workflow automation and collaboration platform for teams that want AI-driven automation without handing their data to a third-party SaaS. You deploy it directly onto your own Amazon EKS cluster and keep full ownership of your infrastructure, your data, and your upgrade schedule. At its core, WindyFlo gives teams a real-time collaborative workspace where multiple people can work on the same documents and workflows at once, backed by automation that runs AI agents and background jobs to handle repetitive or long-running tasks. Instead of stitching together separate tools for collaboration, automation, and AI agent orchestration, WindyFlo brings them into one platform.
WindyFlo is licensed under Apache 2.0 and billed through AWS Marketplace as an annual contract, paid through your AWS account (no separate invoicing, license keys, or procurement outside AWS). All application and dependency images are delivered through AWS Marketplace managed ECR repositories, so your deployment never needs to reach out to an external registry.
Key capabilities:
Real-time collaborative workspace for teams editing shared documents and workflows together Automated background job processing for workflow and pipeline tasks AI agent and tool integration for building automated workflows on top of large language models Simple, auditable Helm chart install with a small, well-defined set of prerequisites Runs entirely inside your own cluster, so core functionality has no external SaaS dependency WindyFlo expects a small set of standard, free Kubernetes operators already running in your cluster. Full setup instructions are included in the usage instructions delivered with this listing.
WindyFlo fits engineering teams that want workflow automation and real-time collaboration running under their own security, compliance, and data residency controls, rather than a hosted third-party platform.
Highlights
- Self-hosted, Kubernetes-native (runs on your own EKS cluster, full data control)
- Built-in workflow + agent orchestration for AI-driven automation pipelines
- Open-source (Apache-2.0)
Details
Sold by
Categories
Delivery method
Supported services
Delivery option
Helm chart (Amazon EKS)
Latest version
Operating system
Linux
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
WindyFlo Enterprise License | Our minimum standard annual license price | $4,800.00 |
Vendor refund policy
Refunds evaluated case-by-case. Duplicate/erroneous purchases: full refund if reported within 7 days, unused. Verified software defects (not buyer misconfiguration or infra issues): prorated/full refund possible. Early cancellation of contract terms: refund at our discretion, may be prorated. No refunds for change-of-mind after substantial use or buyer-side setup issues. Contact victoria@hamadalabs.com with AWS account ID + subscription ID to request.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Helm chart (Amazon EKS)
Supported services: Learn more
- Amazon EKS
Helm chart
Helm charts are Kubernetes YAML manifests combined into a single package that can be installed on Kubernetes clusters. The containerized application is deployed on a cluster by running a single Helm install command to install the seller-provided Helm chart.
Version release notes
Updated Docker Image to 3.0.19
Additional details
Usage instructions
WindyFlo on Amazon EKS
Installs into your own EKS cluster via Helm.
Prerequisites
- EKS 1.28+ with the aws-ebs-csi-driver add-on and a gp3 StorageClass.
- An IAM OIDC provider, so entitlement checks can obtain AWS credentials: eksctl utils associate-iam-oidc-provider --cluster <cluster> --approve. AWS supplies the ServiceAccount and IAM role, so you create no role and no license ARN.
- These free operators (external dependencies of this delivery option): CloudNativePG (https://cloudnative-pg.io/ ), MinIO Operator (https://min.io/docs/minio/kubernetes/upstream/ ), and cert-manager (https://cert-manager.io/ ).
- An ingress controller with class nginx, such as ingress-nginx.
- A cert-manager ClusterIssuer named letsencrypt-prod, or set ingress.tls.issuer to one you have. To skip cert-manager TLS, set ingress.tls.enabled: false.
- helm 3.x and kubectl configured for the cluster.
Install
Authenticate, using the registry host from this delivery option:
aws ecr get-login-password --region us-east-1 \ | helm registry login --username AWS --password-stdin 709825985650---dkr---ecr---us-east-1.amazonaws.com.rproxy.govskope.caDownload the chart and extract its values, using the chart path from this delivery option:
helm pull oci://709825985650.dkr.ecr.us-east-1.amazonaws.com/hamadalabs/windyflo-chart/windyflo --version 3.0.16 helm show values ./windyflo-3.0.16.tgz > windyflo-values.yamlEdit windyflo-values.yaml and set your domain:
ingress: host: windyflo.yourcompany.comInstall:
helm install windyflo ./windyflo-3.0.16.tgz \ -n windyflo --create-namespace \ -f windyflo-values.yamlNo secrets are required. Strong random credentials are generated on first install and persist.
Common settings
| Setting | Values path | Default |
|---|---|---|
| Domain | ingress.host | windyflo.example.com |
| TLS issuer | ingress.tls.issuer | letsencrypt-prod |
| TLS enabled | ingress.tls.enabled | true |
| App replicas max | main.autoscaling.maxReplicas | 8 |
| Worker max | worker.autoscaling.maxReplicas | 8 |
| Postgres storage | data.postgres.storageSize | 50Gi |
Verify
All pods should reach Running/Ready. When the ingress address resolves, open https://<your-domain> for the login page.
Licensing
WindyFlo verifies your contract at startup and every 15 minutes, using the ServiceAccount AWS provisions at launch. There is nothing to configure.
kubectl -n windyflo logs deploy/windyflo-main | grep -i licenseentitlement verified means the contract is active. could not verify ... up to 72h means the licensing API was unreachable; WindyFlo keeps serving for 72 hours, and this is usually transient. If it persists, confirm the cluster has an IAM OIDC provider and allows egress to license-manager.<region>.amazonaws.com. entitlement denied means no active contract was found: check the subscription is active and the cluster runs in the account that purchased it.
Only an expired or cancelled contract, or 72 continuous hours without reaching AWS, stops the pods.
Upgrade
Uninstall
This keeps PersistentVolumeClaims holding Postgres and MinIO data. Delete those separately for a full teardown.
Support
Email victoria@hamadalabs.com . Support Terms and Refund Policy are attached to this listing.
Resources
Vendor resources
Support
Vendor support
Support Email: victoria@hamadalabs.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Cloud-native packet gateway deployed directly in AWS regions to enable low-latency, compliant, and secure IoT connectivity. Supports local breakout, QoS, power-efficient routing, and enterprise-scale network flexibility
FloQast, an Accounting Transformation Platform created by accountants for accountants, enables organizations to automate a variety of accounting operations. Trusted by more than 3,000+ global accounting teams, including Twilio, Los Angeles Lakers, Okta, and Snowflake, FloQast enhances the way accounting teams work, enabling customers to automate close management, account reconciliations, accounting operations, and compliance activities. With FloQast, teams can utilize the latest advancements in AI technology to manage aspects of the close, reduce their compliance burden, stay audit-ready, and improve accuracy, visibility, and collaboration overall. FloQast is consistently rated #1 across all user review sites. Learn more at FloQast.com.
Large Eddy Simulation (LES) data of the Winds of the North Sea in 2050 (WINS50) project.
Skyflow secures the flow of data across data stores, models, and agents. Enterprises turn to Skyflow as their runtime AI data control layer to protect sensitive data, enable safe AI deployment, and unlock full value from their applications, data platforms, and AI systems.
This data lake contains multiple datasets related to fundamental problems
in wind energy research. This includes data for wind plant power production
for various layouts/wind flow scenarios, data for two- and three-dimensional
flow around different wind turbine airfoils/blades, wind turbine noise
production, among others. The purpose of these datasets is to establish a
standard benchmark against which new AI/ML methods can be tested, compared,
and deployed. Details regarding the generation and formatting of the data for
each dataset is included in the metadata as well as example notebooks and
documentation that show how to access the data for ML modeling.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.