Terraform module for deploying a production ready Dataiku DSS platform on AWS enabling you to spend less time configuring and more building custom AI models.
Download the guideWe’ve developed a highly-scalable, secure, fully-automated, cloud-native Dataiku Deployment Library for Amazon Web Services (AWS). It offers production grade infrastructure as code, self-service experience, while empowering your data teams to have the autonomy and control they need to ensure model accuracy, data durability and dashboard portability.
Used byManual deployment of a long life monolithic application, with a complex process tree and file system.
Ephemeral infrastructure, frequently provisioned, short lived and automated provisioning on-demand.
The Dataiku Deployment Library uses infrastructure and application automation tools to automatically deploy node(s) (DSS and API) independently on AWS. Both can be scaled and deployed into a new or existing virtual private cloud in your AWS account.
Migrate your existing Bedrock models to leverage greater agility, scalability and enhanced security on the Dataiku DSS platform. Free your business from the complexity of hand built infrastructure and simplify operations.
Give your MLOps engineers an easy-to-use, self-service experience, while your Data team still has all the power, autonomy and control they need to ensure model accuracy, security and scalability.
Our solution allows you to scale from a single DSS node to a fully managed EKS multi-node cluster.
The Library supports a wide range of Dataiku platform versions to enable a smooth automated upgrade process.
We follow strict DevOps practices to ensure every commit goes through a suite of automated tests before being released.
The Library is highly reusable, configurable and composable allowing for multiple deployments.
We support via Slack, email and phone to get your Dataiku platform up and running seamlessly.
We continuously make updates, fixes and enhancements to make sure you can benefit from the improvements.
Productionize your Dataiku platform in no time.
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