Act on insights closer to where data is created
Research shows that around 10% of enterprise-generated data is created and processed outside a traditional centralized data center or cloud. By 2025, this figure is expected to reach 75%¹. If you're a CIO in just about any industry, you realize that a more decentralized approach — an edge computing approach — is necessary for digital transformation. But how do you manage and secure a topology with tens of thousands of edge servers and hundreds of thousands of edge devices in a cost-effective manner? The answer: IBM® Edge Application Manager, an intelligent and flexible platform that provides autonomous management for edge computing. A single administrator can manage the scale, variability and rate of change of application environments across tens of thousands of endpoints simultaneously. This solution is a full lifecycle edge environment that helps you safely create, deploy, run, monitor, maintain and scale business logic and analytics applications at the edge. It can run anywhere and manage workloads on virtually any edge endpoint, including servers, gateways and devices. Edge endpoints run on containers and the Red Hat® OpenShift® enterprise Kubernetes orchestration platform. This gives you the choice and flexibility to extend from any public or private cloud to any edge server or device.
Key benefits
Better data control and costs
Minimize data transport to central hubs and reduce vulnerabilities and cost.
Faster insights and actions
Tap into new sources of data created and processed at the edge.
Continuous operations
Run autonomously, even when disconnected, and reduce disruption and cost.
Gartner and IBM discuss edge computing and automation
If you're a CIO in manufacturing, banking, or just about any industry, you may be considering a strategy to increase revenue and cost savings through a massively decentralized computing architecture. This is called edge computing. Edge computing allows you to act on insights closer to where data is created. With edge computing, today's businesses have the potential to virtualize the cloud beyond the four walls of the data center. Workloads created in the cloud, including some of the more modern forms of AI and analytics, can now be migrated out toward the edge. Where appropriate, data generated at the edge can be cleansed, optimized and brought back to the cloud. In this webinar, Bob Gill, Research Vice President, Gartner, and Rob High, Vice President, IBM Fellow, CTO, IBM Edge Computing, dive into the benefits of edge computing, explain the need for autonomous management and share key use cases that support a safe return to work.
Find out how IBM Edge Application Manager powers a safe return to work
Crowd density measurement
Monitor the density of people in a specific space, based on people in the camera’s field of view.
Elevated body temperature monitoring
Identify elevated body temperatures of individuals as an indicator of potential unsuitability for work.
Face mask detection
Analyze face mask usage without jeopardizing the identity of anyone in the image.
IBM and ClearBlade announce new edge computing partnership
Watch how your industry can gain a competitive edge
Banking and financial services
Make ATM banking safer and more efficient with edge IT.
Communications service provider (CSP)
Save on capital and operating expenses when establishing IT infrastructure.
Learn about edge IT for your industry
Discover what's possible in banking, manufacturing, retail and more with edge computing.
Testimonials
“ Developing a successful edge strategy requires taking into consideration the complexity of management endpoints and recognizing that scale and variability are dramatically different from traditional on-premises or public cloud deployments. ”
- IDC white paper, sponsored by IBM, “The Importance of Effective Operations in Unlocking Edge IT Value,” 2020 January
Related 5G and edge computing offerings and services from IBM
Footnote
¹ https://www.gartner.com/smarterwithgartner/what-edge-computing-means-for-infrastructure-and-operations-leaders (link resides outside IBM)