Getting Started with AWS Edge Services: A Beginner’s Guide

Hi Folks ! 😎 

Keeping you ahead in the world of Edge Computing

If you haven’t subscribed yet, please join the edge compute enthusiasts by subscribing here. The future is limitless with edge compute.

How you are all doing! As the saying goes if we don’t know all our tools well, we may be spending too much time inventing the invented 🙂 .

So lets take a quick look at what is available from AWS Edge Services and some of the ways we can use them to uplift our edge game. In this article we will cover below service areas:

1. Infrastructure

2. Storage

3. Content Delivery

4. Robotics

5. Machine Learning

6. IoT

There you go its like 6 senses for the edge 🥷. Below is a 300 years old picture, AWS just made it real.

Note: Previously Rugged & Disconnected Edge used to be part of this with AWS Snow Cone, but as of 12th November 2024 it has been discontinued and to be replaced with latest AWS Snowball Edge Compute Optimized 104 vCPU device. See official update here…

Our Focus below will be to summarize the services for easy lookup and discuss the use cases of them. In our follow up articles we will dive deeper.

Service and use case summary

AWS Outposts - Extends AWS Infrastructure to on premises, DC or colocation space.

• Low latency compute

• Data residency

• Migration and modernization

• Local data processing

AWS Local Zone - Places Selected AWS Services closer to larger population with no AWS Region.

• Low latency applications

• Data residency

• Migration and modernization

AWS Wavelength - Embed AWS selected services within telco providers DC at the edge of 5G networks.

• Increase data residency compliance

• Accelerate ML inference at the edge

• Enable low latency for real-time gaming

AWS Storage Gateway - Extend on premises applications to AWS Cloud Storage - caching locally for low-latency access.

• Deliver low-latency data access

• Provide on-premises applications access

• Offer virtually unlimited cloud storage

• Support compliance efforts with key capabilities.

Amazon Cloudfront - Global Content Delivery Network for caching and low latency access for your applications worldwide.

• Deliver fast, secure websites

• Accelerate dynamic content delivery and APIs

• Stream live and on-demand video

• Distribute patches and updates

AWS Robomaker - Easily simulate and virtually test robotics applications. Build, Test, Deploy.

• Automated regression testing

• Train reinforcement learning models

• Multi-robot testing

Amazon SageMaker Edge Manager - Train machine learning model and run on edge. Inference mechanism for cloud to edge devices.

• Optimize ML models for inference on SageMaker in the cloud

• Creating an optimized container in SageMaker hosting.

• Enables processor vendors and device makers to innovate rapidly

Amazon Monitron - Manage, monitor, maintain MLMs on fleets of edge devices.

• Save on costly repairs and prevent factory equipment downtime with easy-to-install hardware and the power of ML.

• Can be used for Fans, Bearings, Compressors, Motors, Gearboxes, Pumps

AWS Panorama - Brings computer vision to on premises cameras.

• Improve supply chain logistics

• Optimize traffic management

• Evaluate manufacturing quality

AWS IoT Greengrass - Brings AWS to edge devices even when internet gets disconnected.

• Run at the edge

• Manage apps

• Control fleets

• Locally process data

FreeRTOS - Open source real-time OS for microcontrollers.

• Manage multiple commercial equipment tasks

• Locally collect and process data

• Remotely update your devices

AWS IoT Core - No need to manage servers. Connect your devices directly to AWS Cloud.

• Monitor and manage industrial operations

• Build differentiated consumer products

• Innovate with automotive data

• Develop safety products

AWS IoT SiteWise - Collect, organize and analyze data from industrial equipment at scale.

• Increase production efficiencies

• Improve manufacturing operations

• Optimize asset maintenance

Keep a lookout for more in depth exploration use cases, labs and real life sample architectures which will discuss in the upcoming articles and also ⬇️…..

For more detailed descriptions and service links , please checkout here…

That’s it for today! ☀️

Enjoyed this issue? Send it to your friends here to sign up, or share it on Twitter!

If you want to submit a section to the newsletter or tell us what you think about today’s issue, reply to this email or DM me on Twitter or LinkedIn !

Thanks for spending part of your day with JambuSpace.

Happy Reading — Sharat.