Edge Computing Solutions
Streamlined Edge IT for Distributed Workloads
The ever-expanding expectations of our digital world demand that more applications run outside the cloud or traditional data center, closer to where they are used by people, devices, and IoT systems. But managing a growing sprawl of distributed infrastructure is an increasing challenge for IT teams. Conventional tools built for centralized environments introduce unnecessary costs, complexity, and risk, limiting the full potential of edge computing.
Scale Computing™ edge solutions enable organizations to reliably run applications and process data at or near the source, across hundreds or thousands of locations. Our edge platforms combine centralized orchestration, automated deployment, and local resilience into solutions designed for scale, regardless of hardware or site conditions.
Whether deployed as a managed edge service or through self-managed infrastructure, Scale Computing™ delivers the performance, availability, and simplicity needed to support mission-critical workloads at the edge—without requiring on-site IT resources.
Kelly Box & Packaging Accelerate Industry 4.0 with Scale Computing™
Why Edge Computing is Crucial for Modern Businesses
Bring computing resources closer to the source of data generation or consumption, reducing latency and improving overall system performance. By processing data at the edge, near where it is created, organizations can achieve real-time responsiveness, faster decision-making, and a seamless user experience.
Reduce the reliance on a centralized data center, minimizing the impact of network disruptions or failures. The distributed nature of edge computing ensures that critical applications and services remain operational even in challenging or remote environments.
Address security and privacy concerns by keeping sensitive data within the local edge computing devices or gateways. Localized data processing minimizes the exposure of sensitive information to potential security threats and reduces the risk of data breaches. Additionally, customize security protocols and encryption measures at the edge and ensure end-to-end protection of data.
Learn more about Edge Computing Solutions from Industry Experts
Scale Computing™ Named to the Prestigious CRN Edge Computing 100 List for Sixth Consecutive Year
The list honors the 100 leading edge computing companies for 2025 across three key categories: Edge Hardware, Software and Services; IoT and 5G Edge Services; and Edge Security. This is the sixth consecutive year that Scale Computing has been named to the prestigious list since its inception.
Purpose-Built Platforms for the Distributed Edge
Every edge environment is unique. That’s why the Scale Computing™ portfolio brings together powerful, interoperable products that deliver resilience, simplicity, and security: from the infrastructure layer to continuous compliance visibility. Deploy, manage, and protect your entire network with intelligent automation and always-on observability.
Edge Computing Solution Features
Managing Easier Edge Computing Deployments
Are you looking to manage and enable IT applications outside of your central data center? Demand for near-real-time response in critical applications is driving a need to put computing power where it can be best used - at the edge of your network. If you're considering edge computing, then you need to read "The Gorilla Guide to Enabling IT at the Edge."
Delhaize needed a reliable edge computing system in each of its stores to support the many new IoT solutions they were implementing.
Edge Computing Self-Assessment
We developed this Edge Computing Self-Assessment tool to help you think through the unique needs of your organization. While no assessment provides an exact formula, the personalized data our new tool offers can help you identify and explore your needs and preferences.
Frequently Asked Questions
What is edge computing?
Edge computing is the practice of running applications and processing data outside of traditional data centers or the cloud, closer to where data is generated and used. This approach minimizes latency, reduces bandwidth costs, and enhances application performance by processing data locally rather than relying on centralized cloud resources.
How Does Edge Computing Work?
Edge computing works by deploying computing resources (such as servers and storage) closer to the source of data generation—whether it's a retail store, factory floor, or remote office. These edge deployments are often managed remotely and designed to function autonomously, even when disconnected from the cloud or data center.
What problems does edge computing solve?
Edge computing addresses several key IT challenges:
- Latency: Reduces the time it takes to process and analyze data by eliminating the need to send it to a distant cloud.
- Bandwidth Costs: Limits the amount of data transmitted over networks, cutting expenses.
- Reliability: Ensures applications continue running even during internet disruptions.
- IT Complexity: Reduces the burden on IT teams by enabling remote, automated management.
Edge computing vs cloud computing, what are the differences, and how do they relate?
While both edge and cloud computing serve modern IT needs, they differ in where and how data is processed:
- Cloud Computing: Centralized, scalable, and resource-intensive. Best for applications requiring vast compute power and storage.
- Edge Computing: Decentralized, responsive, and efficient. Ideal for real-time processing, localized workloads, and environments with unreliable connectivity.
Edge computing often complements cloud computing by offloading immediate data processing to local devices while sending select information to the cloud for long-term storage and analytics.
What does resiliency at the edge mean?
Resiliency at the edge refers to the ability of edge infrastructure to continue functioning despite failures, connectivity issues, or hardware malfunctions. Scale Computing™ achieves this through:
- Self-Healing Technology: Automated detection and resolution of system failures.
- Built-in Redundancy: Fault-tolerant architecture that ensures uptime.
- Autonomous Operations: Systems designed to run independently even when disconnected from a central network.
Related Resources
SC//Insights: Edge Computing
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