Edge computing is a distributed computing model in which compute processing takes place near the physical location where data is being collected and analyzed, rather than on a centralized server or in the cloud. This new infrastructure involves sensors to collect data and edge servers to securely process data in real-time on site. Increasing data processing at the edge, to include advanced computing or AI/ML capabilities, transforms data capture or transport expectations. Users can expect increasing access to regionally/locally generated content as well as locally produced analytics from sensor data capture and processing. This model enhances the current cloud model and must have the ability to be deployed in harsh and difficult environments. What hardware can meet these difficult market segment requirements?
The AWS Snowball Edge is the perfect solution for Edge Computing – the AWS Snowball Edge compute optimized has 52 cores, 208 GB of RAM, 80 TB of storage and an optional GPU (Snowcone options also available). The entire product is ruggedized and encrypted, but most importantly is currently being used in these difficult edge environments. AWS provides two methods for Snowball management: command line and the OpsHub desktop application. Since edge computing is about moving processing to the edge this would mean we would have lots of devices at many different diversified locations. How do I manage an enterprise fleet of deployed Snow devices at the edge?
SBManager™ is tailored for the enterprise, our technology benefits a few or thousands of deployed Snow devices and supports single or bulk actions across multiple Snow devices simultaneously. One click bulk automated unlock, startup, stop, network discovery, monitoring & configuration management capabilities are only a partial highlight of the available services to reduce the labor-intensive startup, operation, and configuration of Snow devices. Tailored for the enterprise, our user-friendly interface makes it possible for any user to easily access and manage Snow devices without the need to deploy advanced IT professionals in the field. Our software enables the ability to remote manage and bulk configure Snow devices that are geographically diverse, or it will work on a localized network disconnected from the Internet.
Inside SBManager™ we can apply any commands in the AWS Boto library at the click of a button to a fleet of local or remote Snow device(s). Our software includes Role Based Access Control (RBAC) and user access management, this adds control over who can access our software for added security among segregated business teams. Our dashboard displays of all Snowball data allows easy management with detailed status and statistics of single and/or multiple Snow devices.
Our Partner Program includes proven artificial intelligence/machine learning options and secure compute software partners able to operate in disconnected or limited network environments continuing to elevate our available service offerings. This supported by SBManager’s™ microservices which are available as an API for integration with partner software applications running on the Snow devices at the edge. Tailored for the enterprise, our user-friendly interface makes it possible for any user to easily access and manage Snow devices without the need to deploy advanced IT professionals in the field