Enterprise Data Management & Solutions Experts

Data storage: on-prem or cloud

Optimize costs. Address latent variables such as egress charges and zombies. Here’s how.

Simplify data management

Integrate your storage—edge to core to cloud—and cut down on control planes.

Build adaptive infrastructure

Build out processes that use automation tools so your dev and ops teams work better together.

Hybrid infrastructure in brief

Get the nitty gritty from NetApp storage experts—in 800 words or fewer.

Cloud resource costs explained: part 1

In this blog, we use AWS pricing models as to show variables of cloud pricing and ways to control costs.

Decode cloud bill

Cloud resource costs explained: part 2

Explore best practices for cost management, while seeing how NetApp^® Cloud Insights exposes inefficiencies.

Reveal resource costs

NetApp: A bridge for multi-cloud?

Whenever a mature, proven technology is adapted for the cloud, there’s a lingering question: Does it perform or doesn’t it?

See the results

Why to right-size, how to downsize consumption

Learn how to best use right-sizing to benefit containerized workloads—based on surveys of more than 1,500 organizations.

Get your ruler ready

Hybrid cloud pitfalls and possibilities

Hybrid cloud management isn't a baked, matured, standardized approach with a single set of tools.

Learn from experts

Edge to core to cloud part 1: All about the user

For an optimal approach to coping with the demands of distributed services, organizations have to be aware of five best practices.

Get best practices

Edge to core to cloud part 2: Agility + integration

We’re not saying there’s such a thing as a fully integrated infrastructure across multiple clouds, on prem, and edge—yet. But let’s explore.

Find places to integrate

Edge to core to cloud, part 3: Practical considerations

Data devices, data scale, data movement, and data management: These variables inform your integration strategy.

How do I do this?

Sharpen your DevOps mindset

One of the common mantras of the DevOps community is “You build it, you run it,” meaning a single team is responsible for both devand ops—and alterations to working culture.

Accelerate DevOps at your org

Monitoring in the cloud era

Today, in the cloud era, workloads are more distributed, and organizations are focusing on cloud-native architectures.

Learn how to do it right

Data science + automated workflows toolkit

It is imperative that data scientists and engineers have the tools necessary to construct unified data pipelines that incorporate different data sources, environments, platforms, and protocols.

What tools do I need?

How NetApp does it: Automated response takes pressure off IT

The bulk of any automation project and its success lies in first understanding the process and workflows.

See how we do automate dev/test

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