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 Scale Computing Platform™ edge computing solution, 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™ edge orchestration software 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™ virtualization suite delivers on-premises edge computing with high availability and disaster recovery to remote locations at an affordable entry-level cost. All Scale Computing 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.
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.
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!
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
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."
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.
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.
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.
Edge computing addresses several key IT challenges:
While both edge and cloud computing serve modern IT needs, they differ in where and how data is processed:
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.
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:
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