Questions tagged with Edge Computing
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How to perform edge computing by aws iot greengrass
I would like to perform edge computing by linking two function, one is a web application on my pc, one is a function that recieve data from the web at particular situation to futher operate on cloud and send it back. But as far as I know, a greengrass component must be put in a S3 bucket, that means all components will be on the cloud. Since two of the function are put on the cloud, that means it will be cloud computing instead of edge computing. Therefore, how can I apply edge computing? Is that other way to store the web app close to the edge device instead of on the cloud (S3)?
Deploying web application to aws greengrass
I am working on a web application for video detection (video uploaded from pc) which run inside a gpu server. Is it possible to apply edge computing by AWS Iot greengrass on the project? Can I deploy the whole project include backend and frontend to AWS greengrass core as a component? How can I do that? Also, is cloud necessary for AWS greengrass? Where should I install the AWS IoT Device SDK?
Video delivery speed in AWS S3 storage
Hi, we have session recording software. We are looking for the following things: 1. Our session recording videos of all customers, as and when generated, should automatically get uploaded to AWS S3 from our VPS server. Is such an arrangement possible? 2. Currently, our session recording videos buffer for 10 seconds before starting to play. If we deliver this video through AWS S3, can buffering be reduced to 2 seconds? Basically, we want to deliver session recording videos to all our customers at the best video speed. How can I achieve this and by using which Amazon service?
[Announcement] AWS Snowball Edge Compute Optimized delivers double the compute capacity and is now fully SSD NVMe storage
Posted On: Oct 18, 2022 AWS announced an enhanced Snowball Edge Compute Optimized with expanded compute, memory and storage options. The AWS Snowball Edge Compute Optimized device doubled the compute capacity up to 104 vCPUs, doubled the memory capacity up to 416GB RAM, and is now fully SSD with 28TB NVMe storage. AWS Snowball Edge Compute Optimized is a secure, rugged device that brings AWS computing and storage capabilities, such as Amazon EC2, Amazon EBS, Amazon S3, AWS IoT Greengrass, AWS Lambda functions, and AWS IAM to your rugged edge environments. AWS Snowball Edge is available in two device types. Snowball Edge Compute Optimized with more computing capabilities, suited for higher performance workloads, and Snowball Edge Storage Optimized with more storage, which is suited for large-scale data migrations and capacity-oriented workloads. You can use Snowball Edge devices in environments with intermittent connectivity (like manufacturing, industrial, and transportation) or in extremely remote locations (like military or maritime operations). Snowball Edge Compute Optimized capabilities now include double the available compute to 104 vCPUs and 416GB RAM with an all SSD (28TB NVMe) storage architecture for Amazon S3 compatible object storage or EBS-compatible block volumes. The updated Snowball Edge Compute Optimized device is ideal when you need dense compute resources to run complex workloads such as AI/ML inference, video analytics, or to deploy private 5G wireless networks at the rugged, mobile edge, and in high-vibration environments on mobile platforms such as trucks, aircraft or ships. The updated AWS Snowball Edge Compute Optimized is available now in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), US West (N. California), and AWS GovCloud (US). You can get started by ordering a Snowball Edge device on the AWS Snow Family console and can learn more about Snowball in the AWS Snowball Edge documentation. For more information about pricing, visit AWS Snowball’s pricing page.
[Announcement] AWS Snowball devices are now available in the AWS Asia Pacific (Jakarta) Region
Posted On: Sep 7, 2022 AWS Snowball devices are now available in the AWS Asia Pacific (Jakarta) Region. AWS Snowball, a member of the AWS Snow Family, is an edge computing, data migration, and edge storage device that comes in two configurations - Snowball Edge Storage Optimized and Snowball Edge Compute Optimized. The Snowball Edge Storage Optimized device provides 80 TB of Amazon S3 compatible object storage and is designed for local storage and large-scale data transfer. The Snowball Edge Compute Optimized device provides 52 vCPUs, 7.68 TB of NVMe SSD storage, 42TB of HDD storage, and 208 GB of RAM for use cases like advanced machine learning and full motion video analysis in disconnected environments. You can use Snowball Edge Compute Optimized devices for data collection, machine learning and processing, and storage in environments with intermittent connectivity, like manufacturing, industrial, and transportation environments, or in extremely remote locations, like during military or maritime operations, before shipping the devices back to AWS. All AWS Snowball devices can be rack mounted and clustered together to build larger temporary installations. For Regional availability, check the Regional Service Availability pages for the latest information. For temporary deployments, you can choose the on-demand pricing option, which includes 10 days of device use and a per-day fee for every additional day you use the device before sending it back to AWS. For longer-term deployments, AWS provides discounted 1-year and 3-year pricing. For pricing information, visit the AWS Snowball pricing page. To get started, visit the AWS Management Console. To learn more, visit the AWS Snowball Edge documentation or the AWS Snowball product page.
Obtain client IP address through a network load balancer (TCP socket server, Python)
Hi All, I run a couple of TCP socket server on EC2, behind a network load balancer (NLB). even I've set the target_group to preserve client IP address. I am not able to obtain the actual client IP address in my Python TCP socket server. All I am getting seems to be a few fixed IP address, likely belong to the load balancer or some edge computing node ? when I bypass the load balancer, my server app is able to obtain the proper client IP address. any idea, what I am missing here ?
lambda@edge origin-response handler with cloudfront + s3 origin custom headers
Hello, I've a function that works for `origin-response`. I've added in my *Cloudfront* distro custom header, call it `X-My-Header` with a custom value (say `a`) I want to read this custom header in the `origin-response` function (by using _Typescript_, shouldn't matter). This header is no where to be found in either `request.origin.s3.customHeaders` nor `request.origin.custom.customHeaders`. This is super difficult to debug. If someone has a suggestion or a direction I'll be extremely happy to hear. Thanks