Edge Computing Solutions
SC//Platform: Managing Applications Computing from the Edge
The ever-expanding expectations of our digital world demand more applications run outside the cloud or data center, close to where they are used by people, devices, and IoT technologies. But managing the sprawl of complex infrastructure to run applications locally in distributed locations is an escalating burden on IT departments. Attempts to handle these edge computing workloads with tools built for the cloud or traditional data centers result in excess cost, complexity, and fragility that fail to deliver on the promise of edge computing.
With SC//Platform, you can run applications and process data outside centralized data centers, at the edge of your network closest to where that data is created and utilized. Leverage SC//Fleet Manager to centrally monitor and manage hundreds or thousands of distributed edge infrastructure deployments with few or no on-site IT personnel.
The award-winning SC//HyperCore software delivers on-premises edge computing with high availability and disaster recovery to remote locations at an affordable entry-level cost. All SC//Hardware can be deployed quickly, managed locally or remotely, and can self-heal almost instantly. Finally, get all the benefits of affordable edge computing infrastructure without sacrificing reliability, ease of deployment, and ease of use.
Royal Farms chooses Scale Computing for In-Store IT Modernization
Why Edge Computing is Crucial for Modern Businesses
Learn more about Edge Computing Solutions from Industry Experts
Getting Operational with Scale Computing HCI StorageReview
We believe we have the simplest IT infrastructure platform to deploy and manage. Need proof? Watch this "unboxing" video from the team at StorageReview as they put Scale Computing Platform to the test and cover the process from start to finish!
SCALE COMPUTING RECOGNIZED ON THE 2021 CRN EDGE COMPUTING 100 LIST
The second-annual CRN Edge Computing 100 list spotlights the vendors leading the way in providing channel partners with the technology needed to build next-generation, intelligent edge solutions that ultimately bring data collection and processing closer to users. The categories include Edge Hardware, Software and Services; IoT and 5G Edge Services; and Security
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.
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SC//Insights: Edge Computing
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