Amazon Web Services (AWS) AI and Analytics services directly with their NetApp data

NetApp®, the Intelligent Data Infrastructure company, today announced a new capability that enables enterprises to make their workflows simpler and more efficient by connecting Amazon Web Services (AWS) AI and Analytics services directly with their NetApp data both in the cloud and on-premises. Amazon S3 Access Points for Amazon FSx for NetApp ONTAP® enable customers to accelerate AI and analytics projects by allowing FSx for ONTAP-resident file data to be accessed via the S3 API by AWS's extensive portfolio of AI/ML and analytics services—all while the data remains in place and is fully accessible for read / write via file protocols.

“By connecting FSx for ONTAP data  natively to AWS's wide range of AI, ML, and analytics services, the new integration with Amazon S3 Access Points unleashes the potential to connect to more than 100 exabytes of enterprise data stored on NetApp systems for transformative use cases like generative AI and analytics uses cases built on AWS,” said Pravjit Tiwana, Senior Vice President and General Manager, Cloud Storage and Services at NetApp. “The introduction of S3 Access Points for Amazon FSx is a game changer for both FSx for ONTAP and for on-premises ONTAP users. Customers can now use advanced cloud services directly integrated with enterprise applications and data architecture.”

Enterprises using FSx for ONTAP can also use ONTAP’s built-in replication features to move or sync data across cloud and on-premises systems. This allows organizations to keep data where it is generated while still using it with AWS’s AI and analytics services. Access controls can be set via S3 Access Points, allowing teams to tailor permissions for different applications or users.

“By connecting FSx for ONTAP data natively to AWS's wide range of AI, ML, and analytics services, the new integration with Amazon S3 Access Points unleashes the potential to connect to more than 100 exabytes of enterprise data stored on NetApp systems for transformative use cases like generative AI and analytics uses cases built on AWS,” said Pravjit Tiwana, Senior Vice President and General Manager, Cloud Storage and Services at NetApp.

The expansion of the collaboration between NetApp and AWS will benefit customers by:

· Accelerating Generative AI Efforts: This SCA will accelerate generative AI efforts, helping customers continuously fuel business growth and innovation by delivering data-rich experiences through workload migration and new application deployments on AWS. NetApp recently released BlueXP workload factory to help customers connect ONTAP with foundation models (FMs) through Amazon Bedrock and extend their on-premises data estate for building generative AI applications. AWS and NetApp also published reference architecture guidance for customers to integrate proprietary enterprise data on FSx for ONTAP into generative AI pipelines using retrieval-augmented generation (RAG) and APIs for Amazon Bedrock, enabling secure, high-performance use with foundation models. The collaboration between AWS and NetApp simplifies, accelerates, and enables the ability to generate unique, high-quality, and ultra-relevant data insights. Instaclustr by NetApp manages open source vector databases, a crucial component in the delivery of fast and accurate results in RAG architectures. The close collaboration between AWS and NetApp on these advanced workloads makes it simpler and faster for customers to unlock value from their data using RAG.

In the past 18 months, everyone has been talking about AI and generative AI [GenAI], but what’s behind all of that is the data. If you don’t have the right technology for storing the data, it is going to be very difficult to use your models with the right performance, security and reliability.

Whether customers run their models and store unstructured data in a public cloud, private cloud or on-premise environment, we’re with them in their AI journey. And because AI runs on data, data runs on NetApp, and so AI runs on NetApp – that’s our strategy.

New Relic Security RX Cloud gives DevOps and DevSecOps teams unified security insights to prioritize risk and accelerate software development. Its new agentic integration with AWS reduces context switching and bridges build-time insights with runtime configurations, allowing teams to automate the remediation of Infrastructure-as-Code (IaC) vulnerabilities from directly within the AWS console, command line interface (CLI), or config templates like teraform and cloud formation.

AWS users gain a comprehensive view to discover, manage, and remediate cloud resources and misconfigurations alongside their app and infrastructure vulnerabilities. It contextualizes security findings with runtime configs, ownership, and operational details in order to provide remediation options that prioritize the highest risks. This leads to faster resolution, improved team collaboration, and a clearer understanding of security posture via a single console.

By - Aaradhay Sharma