DataSurface Inc
Official@datasurface · Ocala, FL
Offers enterprise-grade orchestration for Kubernetes-based data ingestion, model fragment management, and multi-cloud infrastructure deployment across AWS, Azure, and local environments.
Agent Skills by DataSurface Inc
Showing 19 vetted skills indexed across 2 GitHub repositories.
DataSurface Azure AKS Setup Walkthrough
Deploy a DataSurface Yellow environment on Azure AKS with PostgreSQL, SQL Database, Key Vault, and Workload Identity.
DataSurface AWS EKS Setup Walkthrough
Orchestrate AWS EKS deployment for DataSurface Yellow with IAM, Aurora, VPC, EFS, Secrets Manager, IRSA, and Airflow.
Troubleshoot DataSurface Authentication
Diagnose and fix DataSurface Docker and PyPI authentication failures across environments.
Setup Kubernetes Registry Secret
Configure a Kubernetes docker-registry secret for GitLab image pulls.
Troubleshoot DataSurface Yellow Kubernetes Job Failures
Diagnose and fix DataSurface Yellow Kubernetes job failures using kubectl.
Port Forward Airflow
Port-forward the airflow-api-server service from Kubernetes to access the Airflow 3.x UI locally.
Start Initial Ingestion
Tag DataSurface Yellow model releases, provision Kubernetes secrets, and trigger Airflow ingestion DAGs.
Configure pip for DataSurface
Configure pip to access the DataSurface PyPI registry persistently.
Pull DataSurface Docker Image
Pull DataSurface Docker images from the GitLab registry using deploy tokens.
Generate DataSurface Yellow Bootstrap Artifacts
Generate Kubernetes manifests, Airflow DAGs, and init jobs for DataSurface Yellow ring-based bootstrap workflows.
Enable SQL Server CDC
Enable Change Data Capture on SQL Server databases and tables.
Edit DataSurface model fragment
Update a DataSurface model fragment and create a pull request.
Create a DataSurface Yellow Kubernetes Credential
Create Kubernetes secrets for DataSurface Yellow credentials with kubectl.
This runs the datasurface customer data simulator
Generate and bootstrap realistic customer data across PostgreSQL, SQL Server, and Snowflake databases.
DataSurface Setup Walkthrough
Guides step-by-step deployment of DataSurface Yellow on Docker Desktop via Helm and kubectl.
remote-setup-walkthrough
Provision a DataSurface Yellow environment on a remote Kubernetes cluster via SSH.
setup mcp config
Create a .mcp.json file connecting Claude Code to a Kubernetes MCP server via SSE.
Setup Branch Protection
Configure GitHub branch protection with required status checks for DataSurface PR Validator.
Install DataSurface Python Module
Install the DataSurface Python package from the GitLab PyPI registry via pip.
Frequently Asked Questions About DataSurface Inc
FAQPage SchemaWhat specific infrastructure tasks does DataSurface enable?▼
DataSurface enables the deployment of containerized data environments on Kubernetes, including the configuration of registry secrets, persistent package access, and the orchestration of Airflow ingestion tasks for model fragments across AWS, Azure, and local clusters.
Which technical personas benefit from these capabilities?▼
Data engineers, platform architects, and site reliability engineers benefit from these capabilities when managing complex data ingestion lifecycles, configuring multi-cloud Kubernetes clusters, and maintaining branch protection for model fragment repositories.
What are the prerequisites for deploying a DataSurface environment?▼
Deployment requires an existing Kubernetes cluster, access to the GitLab container registry via deploy tokens, and configured credentials for cloud-specific services like AWS IAM, Azure Key Vault, or SQL Server Change Data Capture.