Snowmobile snowball ice cream cone, Amazon edge ambition is advancing (part 1)
Amazon AWS today announced the launch of AWS Snowcone, a small, ultra-portable, rugged, and secure edge computing and data transmission device. AWS Snowcone weighs less than 5 pounds and can fit into a standard mailbox or small backpack. It is the smallest device in the AWS Snow series. It enables customers to collect data, process it locally, and send it offline (by shipping the device to AWS ) Or online (using AWS DataSync to send data to AWS over the network) to move to AWS. AWS Snowcone is designed to withstand harsh conditions and is designed for various scenarios in environments that lack consistent network connections and or require portability outside of traditional data centers, including medical, industrial Internet of Things, drones, edge computing, Content distribution, data relocation, video content production, transportation, etc.
AWS Snowcone provides maximum flexibility for edge computing environments, providing small, ultra-portable, rugged, military-grade security devices to run applications and migrate data to AWS. AWS Snowcone is 9 inches long, 6 inches wide, 3 inches high (23 cm, 15 cm long, 8 cm long), and weighs 4.5 pounds (2.1 kg). It can easily fit into a backpack, messenger bag, standard mailbox or any car model, enough It is light and can be carried by drones. AWS Snowcone can either ship the device offline (using its E Ink shipping label) to AWS, or use AWS DataSync integrated in the device to move data to AWS online via Ethernet or Wi-Fi.
AWS Snowcone has 2 CPUs, 4 GB memory, 8 TB storage, and USB-C power supply (or optional battery). AWS Snowcone is specially designed for use in extreme environments (including oil rigs, emergency vehicles, military operations, factory floors, remote offices, hospitals, movie theaters, etc.) without traditional data center environments for a long time. By supporting AWS IoT Greengrass, the ability to run Amazon Elastic Computing Cloud (Amazon EC2) instances, and rich local storage, AWS Snowcone can be used for IoT Hubs, data aggregation points, application monitors or lightweight analysis engines. Like other AWS Snow devices, all data on AWS Snowcone is encrypted with military-grade 256-bit keys, and customers can use AWS Key Management Service (KMS) to manage these keys. AWS Snowcone includes tamper-proof features to help ensure that the data on the device remains safe during transmission. AWS Snowcone meets stringent shock resistance and working vibration standards (in accordance with ISTA-3A, ASTM D4169 and MIL-STD-810G standards). Dustproof and waterproof (in accordance with IP65 IEC standard), work in low temperature (0 degrees Celsius) and desert environments (38 degrees Celsius). It only takes three steps to set up AWS Snowcone. Once set up, the device can be easily used and managed through an easy-to-use graphical interface. AWS Snowcone is available in the US East (N. Virginia) and US West (Oregon), and plans to provide services in more regions in the coming months.
First, how to use:
Second, use scenarios:
1. Edge computing scenario**: Edge computing application, collect data, process data, instant insight, and then pass it to AWS. Transmit continuous data generated by sensors or machines online from hospitals, factory floors or other edge locations to AWS. For example: Medical industry customers are using Snowcone as an IoT center to process data and transfer it to AWS Cloud. Snowcone provides a secure channel for customers to upload HIPAA compliance data to the cloud, and customers can uniformly manage the configuration and operation of Snowcone equipment among customers and organizations around the world.
2. Data transmission scenario: **Batch data transmission to or from AWS, either offline transmission by sending a physical device, or online transmission using Snowcone and AWS DataSync. For example: Public sector, defense, intelligence, and law enforcement customers are using Snowcone to migrate data to AWS in land, air, and sea tactical edge scenarios. Customers mainly focus on packages from the delivery station to the customer’s door. They deploy Snowcones on trucks to collect data, process the data locally for instant insights, and pass the data to AWS for broader and longer-term analysis.
3. Data storage scenario: Aggregate and process data at the edge, and then transmit it to AWS. For example: media and entertainment, professional sports teams and other content creators use Snowcone to aggregate movie collections, photo collections, and camera content from sports events, encode the content, and then migrate the data to Amazon S3
Snow family:
The size ranges from a suitcase-sized AWS Snowball to a 45-foot-long ruggedized container AWS Snowmobile, which collects and processes data, runs local computing applications, and transfers large amounts of data from log files, digital media, genomic data, and sensor data from connected devices To AWS. As customers extend cloud infrastructure to more edge locations, edge computing in automotive, industrial operations, and remote and rudimentary sites, these sites require a more robust and secure device than the AWS Snow series devices traditionally provide , Has greater portability and smaller form factor.
AWS Snowmobile is a 45-foot-long rugged container that can migrate up to 100PB of data, which is very suitable for petabyte or EB-level digital media migration and data center closure. After Snowmobile arrives at the customer site, it appears as a network-connected data storage, enabling more secure high-speed data transmission. After the data is transferred to Snowmobile, Snowmobile will be shipped back to the AWS region, and your data will be loaded into Amazon S3. Snowmobile is tamper-proof, waterproof, temperature controlled, and equipped with multiple layers of logical and physical security mechanisms, including encryption, fire protection, full-time security personnel, GPS tracking, alarm monitoring, all-weather video surveillance, and escort security vehicles during transportation.
AWS Snowball is a data migration and edge computing device with two device options: computing optimization and storage optimization. The Snowball Edge Storage Optimized device provides 40 vCPUs of computing capacity, and 80TB of usable data blocks or Amazon S3 compatible object storage. It is very suitable for local storage and large-scale data transmission. Snowball Edge Compute Optimized provides 52 vCPUs, 42TB of usable data block or object storage, and an optional GPU suitable for use cases such as advanced machine learning and fully dynamic video analysis in a disconnected environment. Customers can use these two options for data collection, machine learning, processing, and storage in intermittent environments (such as manufacturing, industry, and transportation) or in extremely remote locations (such as military or maritime operations), and then Send it back to AWS. These devices can also be installed on racks and used together through clustering to build larger temporary installation facilities. AWS Snowball is a data migration and edge computing device with two device options: computing optimization and storage optimization. The Snowball Edge Storage Optimized device provides a computing capacity of 40 vCPUs, as well as 80TB of usable data blocks or Amazon S3 compatible object storage. It is very suitable for local storage and large-scale data transmission. Snowball Edge Compute Optimized provides 52 vCPUs, 42TB of usable data block or object storage, and an optional GPU suitable for use cases such as advanced machine learning and fully dynamic video analysis in a disconnected environment. Customers can use these two options for data collection, machine learning, processing, and storage in intermittent environments (such as manufacturing, industry, and transportation) or in extremely remote locations (such as military or maritime operations), and then Send it back to AWS. These devices can also be installed on racks and used together through clustering to build larger temporary installation facilities.
It can be seen that the innovation and evolution of AWS going down to the cloud and sinking to the edge is continuous and continuous, from huge trucks to portable suitcases to the lightweight "ice cream cone" AWS Snowcone. A good example of AWS edge innovation. Including its GreenGrass, OutPost and other dazzling operations in recent years, it is dizzying. One thing is certain, its products are based on the continuous needs of its corporate customers iteratively, which also reflects the great power of lean innovation, agile development, and ecological evolution.
Rather than being envious of Yuanyuan, it is better to retreat to the Internet. What the CT industry needs to do is to stop endless conceptual discussions, sink down, step out of PPT, and use platforms, open source, ecology, and partners to continuously introduce new products and release new products. Keep trial and error, iterate, capture the dividends of 5G ToB, expand the market, and then share and share the cake.