Digital transformation often results in an inescapable byproduct: massive volumes of digital content and data. This, in turn, creates a demand for massive scalability.
Financial services organizations are particularly hard hit by this accelerating growth that can escalate beyond terabytes to multiple petabytes in a very short time. Older enterprise content management (ECM) systems simply aren’t designed for handling billions or tens of billions of objects. This level of enterprise scalability, however, is well within the capabilities of a modern, cloud-native content services platform (CSP).
We’ve seen a massive expansion in the scope of data, thanks to decreased storage costs, increased computing power, and the move to storing everything in elastic public cloud resources and hyper-converged private clouds. If the trend of 90% of the world’s data being created in the last two years continues, you can immediately see that we will run into problems directing this pipeline of data into productive channels. Once manageable repositories and data cubes will become less differentiated data lakes and eventually data swamps.
Jason English, The New Stack
Elastic scalability, when implemented on Amazon Web Services (AWS), Microsoft Azure, and others, expands and contracts to meet workload requirements, engaging large numbers of servers working across a high-speed network. Technologies engineered by these large cloud providers have advanced hyperscale computing and make an ideal foundation for architecting fluid, dynamic platforms, including Nuxeo’s Content Services Platform (CSP).
The Nuxeo Platform possesses some unique capabilities for managing scaling according to processing requirements. Separate scaling policies can be applied to individual services, whether front-end, back-end, search or database operations. Intelligent scaling of this type represents a very useful enhancement to basic dynamic scaling. For example, to more effectively handle intensive user activities, you can individually scale up search (indexing) activities and front-end processing resources. To support extreme high-volume imports, scaling can be bolstered for back-end resources to improve rendering, transformation, and transcoding, as well as for indexing operations. This kind of scaling flexibility is lacking in monolithic legacy ECM systems in the cloud, which are not modular and do not support scaling specific services separately. The cloud-native architecture used by the Nuxeo Platform is better suited to efficient scaling policies defined for individual services.
At a presentation given at DCD Enterprise in New York, Jason Waxman, VP and General Manager of the Intel Cloud Platform Group, predicted that by 2025, 80 percent of all workloads will run in hyperscale data centers. “In the future,” he said, “you will either be computing at scale, or paying someone else to compute at scale.”
Looking to the Future of Massive-Scale Content Management
The Nuxeo Platform architecture was designed for enterprise scale, and we’re seeing organizations create, store, and manage billions of objects. Enterprises are rapidly moving away from older, on-premises ECM systems, realizing their content management demands are more effectively met by a modern CSP.
Advanced search, storage, and retrieval of content is only part of the CSP equation. An array of services must be managed in concert, adjusting to peak demands and scaling back during lulls. Services and operations include ingesting and processing huge volumes of content, performing microservices such viewing and annotating content, using artificial intelligence (AI) to automate operations and filter content, and transcoding and delivering media. In most instances, all of these tasks must be performed at a global level with respect to the geographies in which clients, colleagues, and customers reside.
Tapping into Extreme Scaling
The Nuxeo CSP has been engineered to take advantage of the features and capabilities of cloud services, making it possible to tap into the extreme scaling that AWS and other services can deliver. For quick access to AI functionality, which can greatly enhance large-scale content tasks, the Nuxeo CSP integrates with out-of-the-box AI tools, including Amazon and Google. Custom AI and machine learning models are also available with Nuxeo Insight.
Gartner, in 2019 Magic Quadrant for Content Services Platforms, recognized the scalability as a key strength of the Nuxeo CSP, saying, “The [Nuxeo] scalable architecture serves large deployments, potentially up to billions of documents, for both content storage and content processing.”
Chris McLaughlin, in his article Nuxeo’s Vision for Content Services in 2020, noted
In 2020, our Content Services Platform remains — and will forever be — a work in progress. The only way forward for modern solutions is to innovate continuously, taking advantage of a modular, pluggable architecture to incorporate new technologies, launch new microservices, expand out-of-the-box integrations, and introduce new features and capabilities.
Learn more about how the performance of our modern content services platform can benefit your organization.