🌥️ The GitOps Platform for Data Analytics & AI/ML 💎
⚡ Fast, secure, and at-scale. 🌥️ A Developer Portal to meet your Enterprise needs. 🚀
Coming Soon
Single Pane of Glass
Provision and monitor all environments, resources, and applications in one place
Enterprise Ready
Built with common enterprise patterns: self-managed provisioning, compliant, SCM for IAC and policy statements, and automated operations via pipelines
Empower Your Developers
Return to the classic days of writing application code on your local environment, you won’t even notice it’s AWS!
Orchestrate Platforms and Applications (OPA) on AWS is an open source reference implementation that ties together AWS services into an enterprise-ready offering. By abstracting AWS services, OPA on AWS allows application developers to focus on what they do best – write application logic!
Platform engineering teams can promote best practices at-scale, while providing a productive and pleasurable experience for non-cloud developers
AWS Software catalog in a click of a button
Scale the use of AWS Services using templates
Manage your applications using a single interface
Templated Environments
Includes out of the box environments, applications, patterns, and resources and add more easily
Cloud Acceleration
No cloud skills? No problem! Build applications on AWS without knowing AWS
Pluggable Architecture
Built on the CNCF Backstage developer portal, enjoy 100’s of plugins to customize the developer experience
Increase Productivity, Reduce Costs
Save time and money by scaling your cloud talent and increasing productivity across the board
Focus on What Matters
Build applications easy, fast, and at scale while maintaining your security standards and guardrails
Scale Development
Build hundreds of apps on hundreds of environments for hundreds of teams - on AWS cloud
🐳 Data Analytics
Best Practice Data Analytics Deployment Templates and Examples for Kubernetes with Apache Spark, Spark Operator, Dask, Beam.
🐳 Streaming Data Platforms
Building High-Scalability Streaming Data Platforms with Kafka, Flink, Spark Streaming.
🐳 AI/ML
Unlocking Best Practices for AI/ML Deployment on EKS with KubeFlow, JupyterHub.