Qumulo made an exciting announcement earlier this week! We are one of the first software-only file data platforms to be available and validated by Amazon Web Services (AWS) Outposts Service Ready Program.
For our customers, this underscores Qumulo’s continued commitment to enabling unstructured data management everywhere and connecting to existing and new applications — whether on-premises, in the public cloud, or both.
Is your data holding your organization back, or moving it forward?
At Qumulo, we have seen customers use our cloud-native file data platform to do much more than just ‘store’ their unstructured file data. Storing data securely, without worrying about hardware, is something we consider “table stakes.” Being able to scale endlessly, build and connect applications to a robust API, attach Qumulo to dev ops workflows, and ensure customers can move their data with complete freedom is what we focus on.
How enterprises across key industries are innovating by leveraging the public cloud: 5 real-world examples
With that context in mind, here are some use cases and real-world examples of how we’re helping organizations to innovate, gain efficiencies, and expand beyond the current limits of their business practices by leveraging the public cloud:
1. Manufacturing/Quality Control
Let’s look at Advanced Driver Assistance Systems (ADAS), the autonomous vehicle space, where Qumulo is helping software engineering, dev ops and line-of-business teams use the analytical power of our file data platform to make their work go faster. For example, when you’re using a cloud AI service to build and train all of the models that go into autonomous vehicle development, the main objective is to reduce the cycle time of capturing data, training the model, and testing the model. If you’re able to improve that cycle time by 3X in a given period (instead of 1X times, for example), you would be able to get a better (i.e., safer, more resilient) model. Because of the architecture we use and speed of our file data platform, we are able to help customers collect this type of IoT telemetry data from cars, push to the cloud for use with AI services and then pull down the results for vehicle performance improvements.
2. Healthcare/Data-Intensive Research
Radiology is an example of how medical imaging leverages the public cloud, say for a breast cancer scan or for the assembly of a large file data set of anonymized scans for research and disease prevention. Historically, it has been human clinicians that viewed medical images like x-rays and mammograms to make diagnoses, but machines may be better in many cases at anomaly detection than humans alone. Clinicians can connect vast quantities of breast-screening radiology images with cloud-based image recognition and analysis to improve diagnostic accuracy and reduce both false negatives and false positives. In this case, the combination of humans with machines is able to offer a more accurate and faster diagnosis for patients.
3. Laboratory research
Research computing is another great use case. Qumulo works with several major research institutes and universities for both on-premises and cloud-based workflows in genomics analysis and new therapeutic discovery, which are all managing massive petabyte scale data sets. With Qumulo’s cloud native API connected to enormous cloud scientific data sets, researchers can connect and use data from internal legacy applications with newly developed techniques, helping expand the value of their computational analysis. Because of the massive amount of computing power available to them in the public cloud, these organizations can run their research at a much faster rate. Just as importantly, the cloud enables researchers to easily share that data when collaborating with multiple organizations around the world.
4. Media and Entertainment
Increasingly, production teams worldwide had to leave their studio space behind and work remotely. Media and entertainment organizations urgently need cloud-based tools and architectures that will enable remote content creation for the large digital content they have to edit and produce. Qumulo, with its partners, has created Qumulo Cloud Q, a virtual studio experience that enables users to effortlessly continue work on their projects by moving the critical applications and data they run in their studios to the public cloud on both AWS and GCP platforms.
Studio managers can quickly harness more computing power and capacity instantly to tackle complex render workloads on specialized cloud compute instances. Content creators can better leverage resources and talent across time zones, and more effectively collaborate with globally-dispersed teams. And ultimately production teams can stay focused on creating, editing and delivering content to all of us who love to watch our favorite shows, movies and videos.
Global energy companies continuously analyze decades’ worth of data, as well as newly collected subsurface images to make critical decisions about where to effectively dedicate exploration resources. Modern machine learning cloud services, combined with revitalized older applications, allow energy companies to find previously overlooked deposits and reduce the cost of discovery and extraction. Qumulo’s file data platform bridges the gap that often exists when applications, along with the data that supports them, need to be moved to the cloud in their existing format. Our file system allows applications to run natively, at full speed, and the data they generate is readily available to modern cloud services for further transformation and processing.
Addressing data at scale in the modern cloud age
Finding an ideal enterprise data storage solution means evaluating solutions based on the types of data you manage and maintain. The right hybrid cloud storage platform can empower your team to collaborate and innovate by freeing you to work in the public cloud or in your preferred combination of cloud and on-premises. The same flexibility can also enable more fluid team collaboration with fewer compromises. When team members have ready access to their apps and data, previous limitations disappear, giving them more freedom to innovate.
Platform differentiators including multi-protocol support, a robust REST API, non-proprietary data formats and software-only enable our customers to build their apps and services as fast as they can go.
The New Enterprise Data Storage Playbook
Unstructured data is everywhere, and it’s growing at uncontrollable rates. CIOs and IT leaders are turning to scalable storage solutions to manage this data and remain competitive. Block storage, object storage, and file storage each have unique capabilities and limitations, meaning enterprise-level storage systems are not “one size fits all” solutions.
Learn why unstructured data matters — and which storage solution is right for you.