Automated best practices for Kubernetes. Fully automated remote deployments of Kubernetes in data centers and at the edge.
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Automatically generate CI/CD pipelines using application templates for Kubernetes. Build and deploy node.js, goLang, Java, containers, serverless, python.
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Implement and scale Machine Learning pipelines on Kubernetes. Automatically deploy ML models to the edge.
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Scale your data centers and edge deployments easily with the cloud-native power of Kubernetes.
Learn More >>Organizations tend to rely on multiple clouds and multiple tools from different vendors, which inevitably leads to silos of scripts that reduce overall efficiency. Scripting is the new technical debt of the cloud era.
Michael Delzer, a renowned architect, describes the proper use of automation to mitigate these troubling habits. Read - Who is Automating the Automation? - to capture thoughts from American Airline's former chief infrastructure architect. Learn how Agile Stacks' DevOps-first approach makes teams more efficient.
Build your CI/CD toolchain from the best-of-breed choices in our Applications Catalog. Achieve the velocity you come to expect when every CI/CD server and pipeline is built reliably and consistently.
Merge MLOps and automation as the new paradigm for provisioning one AI training model or hundreds. Our SuperHub puts at your fingertips the power of DevOps automation for machine learning to lower your costs and wait time.
Deploy proven stacks to multiple end points, or deploy new software combinations to a single end point. Either way, vendor lock-in is a thing of the past because our control plane lets you choose your distribution paradigm.
Give your Dev team's pipelines for increased release velocity of serverless code. Our Application Builder was designed with a DevOps-first approach to accelerate automation and best-in-class practices.
Leverage our SuperHub Automation Hub as the platform for managing thousands of Kubernetes nodes running on edge devices. Our control plane lets you deploy and update applications at the edge.
