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Auto-Scaling Kubernetes Storage on Google Cloud NetApp Volumes (Preview)
Imagine your team running a customer‑facing application on Kubernetes, backed by a critical database. As usage grows, so does the data, but storage capacity doesn’t automatically keep up. Traditionally, the team must constantly monitor utilization, watch for alerts, and manually expand volumes before the application is…
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AI-Powered Storage Management Moves from Console to VS Code
Author: Cloud Storage Product Team - Nitya Gupta, Prabu Arjunan, Sagar Gupta, Chahat Gill In Google Cloud environments, managing storage for ML workloads shouldn't pull engineers away from their notebooks and pipelines. Yet many data science teams find themselves bouncing between the Google Cloud Console, infrastructure…
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Designed for devs: Introducing the Visual Studio Code extension for Amazon FSx for NetApp ONTAP
AI-assisted coding with GitHub Copilot has transformed how millions of developers write code. Yet, when provisioning the infrastructure their applications depend on, developers still face time-consuming manual workflows that break focus and slow delivery. That’s because, while infrastructure-as-code (IaC) automates many…
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Solving game development challenges with Amazon FSx for NetApp ONTAP and the AWS CGD Toolkit
This blog was co-authored by Bruno Almeida, Technology Advisor, bruno@exce.pt The gaming industry is experiencing rapid transformation. Players' expectations are rising, and advancements in technologies suchas artificial intelligence (AI), and virtual and augmented reality (VR/AR) are pushing the boundaries by enhancing…
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Designed for Devs – AI-Powered VS Code Extension for Google Cloud NetApp Volumes
Stay in Flow. Let Storage Follow. Author: Cloud Storage Product Team - Nitya Gupta, Prabu Arjunan, Sagar Gupta Executive Summary We’re excited to announce the general availability of our newest innovation: the AI-Powered VS Code Extension for Google Cloud NetApp Volumes This innovation integrates enterprise-grade storage…
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Running NetApp DataOps Toolkit MCP Workflows with LMStudio
This post walks you through how to run an MCP (Model Context Protocol) server on LMStudio using powerful functions from the NetApp DataOps Toolkit. This setup lets you implement custom storage actions directly from your LLM-powered workspace on your laptop or workstation, enabling data management for AI and ML workflows.…
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MCP Servers for Volume Orchestration - NetApp DataOps Toolkit v2.6
A new version, v2.6, of the NetApp DataOps Toolkit is now available. In addition to some minor enhancements, this new version adds two new MCP servers - one for orchestrating ONTAP volumes, and one for orchestrating persistent volumes and Jupyter workspaces in a Kubernetes environment. What is an MCP Server? MCP (Model…
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Revisiting Developer Communities for the Next Generation of Builders
If you’re passionate about shaping the future of developer communities and want your voice to help guide NetApp’s journey, we invite you to take a moment to fill out our brief survey [Click here for the survey!]. Your feedback will play a vital role in building a vibrant, inclusive space where learning, innovation, and…
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Optimizing Game Development in AWS with Amazon FSx for NetApp ONTAP
The landscape of modern game development is evolving rapidly and becoming more complex than ever before. Studios are pushing creative and technical boundaries to deliver increasingly rich and immersive player experiences. However, this evolution brings significant infrastructure challenges. Managing sprawling codebases,…
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Automating registry failover for disaster recovery with Trident protect post-restore hooks
Introduction Disaster recovery for business-critical Kubernetes applications often requires using replicated private registries to pull the container images locally on the DR site in case of a complete failure (including the registry) of the primary site. This can be the case for both on-premises and cloud-based Kubernetes…