Five Considerations For Designing A File Data Architecture In The Cloud is the second post in the Reinventing Your Digital Factory series, featured last month on Forbes.
In case you missed it, in the first article of this series, I covered why we need to reinvent legacy factories with stable data storage and ephemeral cloud compute to rapidly innovate and create new products and experiences.
Billions of sensors are producing unstructured data continuously, from smartphones to wearable tech, medical imaging systems, video surveillance systems, connected automobiles and devices on the edge network. In a digital factory, you can manage these billions of files to create compelling products and services, attract new customers and better compete in the marketplace. However, in order to support the rapid pace of innovation and short lead times required, you need a simpler way to manage unstructured data.
A more efficient way to manage unstructured data
To make innovation happen, you need the cloud, which allows you to experiment quickly and efficiently. You’ll have the ability to harness cloud-native services to create and automate with file data in your digital factory.
Organizations without a digital file data infrastructure are dependent on hardware. They run monolithic architectures on-premises, where storage and compute are bound together and have to scale together. That makes it really hard to experiment and try new ways to build with unstructured data.
How to ensure a file data infrastructure is cloud ready
So how do you ensure your file data infrastructure is cloud-ready? In addition to simplicity, you need the flexibility to run on any infrastructure you choose. Here are five things to consider when designing a file data architecture that will support migration to the cloud, your way:
- Massive Scale
- High Performance
- Instant Visibility
- Security and Protection
For an explanation of each one, read the complete Forbes Tech Council article.
- Why It’s Time To Reinvent Your Digital Factory
- Overcome Technical Debt with Qumulo in the Cloud
- Your Path to the Hybrid Cloud: Qumulo on Azure as a Service (QaaS)
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Ben Gitenstein runs Product at Qumulo. He and his team of product managers and data scientists have conducted nearly 1,000 interviews with storage users and analyzed millions of data points to understand customer needs and the direction of the storage market. Prior to working at Qumulo, Ben spent five years at Microsoft, where he split his time between Corporate Strategy and Product Planning.