© Carbon60 Operating Co LTD
© Carbon60 Operating Co LTD
For many large enterprises, AI adoption is slowed less by a lack of ambition and more by structural friction. Modern AI workloads are built on technologies and services that impose specific requirements for data storage, access, and governance, which legacy environments were not designed to meet. Until now, bridging this gap required costly, time-consuming refactoring that stalled innovation before it could begin.
To address this, AWS and NetApp have introduced S3 Access Points for Amazon FSx for NetApp ONTAP, a capability that directly addresses one of these longstanding bottlenecks. By exposing FSx for ONTAP volumes through the S3 API, enterprises can make file-based datasets immediately consumable by modern AI and analytics platforms. This eliminates migration-intensive workflows, enabling organizations to move from legacy storage to AI experimentation in a single step.
By enabling direct S3 API access to FSx for ONTAP volumes, enterprises gain three critical advantages:
Immediate Deployment: Launch AI and analytics workloads instantly—without the need to rearchitect underlying storage or modify existing file structures.
Data Integrity: Eliminate the "copy-paste" problem. Teams work from a single source of truth, removing the cost and operational risk of data duplication.
Reduced Time-to-Value: Accelerate the transition from POC to production by removing foundational data engineering bottlenecks that typically delay early-stage AI initiatives.
This update removes the technical friction between legacy storage and modern innovation, enabling enterprises to start building AI rather than just managing the data for it.
Eliminating the storage-access barrier is only the first step. Enterprises still face the deeper challenge of operationalizing AI reliably and at scale. Many organizations are slowed not by the models themselves, but by the tooling, processes, and governance required to run AI in production environments.
OpsGuru accelerates this transition by helping organizations move from data readiness to production-ready AI, removing the architectural and workflow friction that typically slows enterprise innovation.
We help organizations improve AI performance by:
Data Readiness Audits: Assessing if enterprise data is structured and indexed to support precise, hallucination-free AI outcomes.
RAG & Retrieval Strategy: Evaluating model inputs and context quality to improve response accuracy and relevance.
Latency Optimization: Tuning system performance so AI applications behave consistently under production loads.
We build the guardrails for AI at scale by:
Scalable Architecture: Designing frameworks that support secure, high-throughput training and inference.
AI/MLOps Automation: Implementing automated testing and deployment pipelines to minimize risk and manual overhead.
Governance & Monitoring: Establishing drift detection and compliance monitoring to maintain control over time.
Lifecycle Management: Balancing cost, performance, and security throughout the AI lifecycle.
OpsGuru’s role is to overcome the complexities that typically slow down AI development in enterprise environments. By aligning the right architecture with robust operations, we help you move from experimentation to deployment quickly, safely, and with predictable results.
For the world’s largest organizations, the pace of AI adoption is often dictated by the cost of complexity. The risk of a misstep is high, and the gravity of legacy systems is heavy. This AWS integration changes that. It removes the initial data-access barrier, making enterprise datasets immediately available to AI workloads without the burden of migration.
OpsGuru then clears the remaining path. We resolve the operational and architectural hurdles that follow, ensuring your AI systems are not only functional but also optimized, governed, and production-ready.
Together, OpsGuru, AWS and NetApp provide more than just a toolset—we provide a direct, accelerated pipeline from legacy data to enterprise-grade AI.
To explore the update in depth, join NetApp on January 21 for their post-re:Invent webinar - Unlock What’s New in Amazon FSx for NetApp ONTAP.
If you’d like to explore how to enable AI use cases with your legacy systems and deploy them efficiently in production, . Our experts can guide you through building secure, scalable, and ROI-driven AI systems tailored to enterprise environments.
