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AWS for the Edge
Bringing data processing and analysis closer to end-points
Infrastructure
AWS Outposts
AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a
truly consistent hybrid experience. AWS Outposts is ideal for workloads that require low latency access to on-premises systems, local data processing, or local data storage. Learn more »
AWS Local Zones
AWS Local Zones are a new type of AWS infrastructure deployment that places AWS compute, storage, database, and other select services closer to large population, industry, and IT centers where no AWS Region exists today. With AWS Local Zones, you can easily run latency-sensitive portions of applications local to end-points and resources in a specific geography, delivering single-digit millisecond latency for use cases such as media & entertainment content creation, real-time gaming, reservoir simulations, electronic design automation, and machine learning. Learn more »
AWS Wavelength
AWS Wavelength enables developers to build applications that deliver single-digit millisecond latencies to mobile devices and end-users. AWS developers can deploy their applications to Wavelength Zones, AWS infrastructure deployments that embed AWS compute and storage services within the telecommunications providers’ datacenters at the edge of the 5G networks, and seamlessly access the breadth of AWS services in the region. This enables developers to deliver applications that require single-digit millisecond latencies such as game and live video streaming, machine learning inference at the edge, and augmented and virtual reality (AR/VR). Learn more »
Storage
AWS Storage Gateway
AWS Storage Gateway is a hybrid cloud storage service that lets you seamlessly connect and extend your on-premises applications to AWS Cloud storage, caching data locally for low-latency access. Customers use Storage Gateway to simplify storage management and reduce costs for key hybrid cloud storage use cases. These include moving backups to the cloud, using on-premises file shares backed by cloud storage, and providing low latency access to data in AWS for on-premises applications. Learn more »
Content Delivery
Amazon CloudFront
Amazon CloudFront is a global content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to your viewers with low latency and high transfer speeds. You can get started with Amazon CloudFront in minutes using APIs, the AWS Management Console, AWS CloudFormation, CLIs, and SDKs. Amazon CloudFront offers a simple, pay-as-you-go pricing model with no upfront fees or long-term contracts. Learn more »
Rugged & Disconnected Edge
AWS Snow Family
The AWS Snow Family helps customers that need to run operations in austere, non-data center environments, and in locations where there’s lack of consistent network connectivity. The Snow Family, comprised of AWS Snowcone and AWS Snowball, offers a number of physical devices and capacity points, most with built-in computing capabilities. These services enable you to access the storage and compute power of the AWS Cloud locally and cost effectively in places where connecting to the internet might not be an option. Learn more »
Robotics
AWS RoboMaker
AWS RoboMaker enables robotics developers to build, test, and simulate robotics applications, and then deploy them to the edge in production robot fleets. With RoboMaker simulation you can easily simulate and virtually test robotics applications in various environments faster and at a higher scale than you can with only physical devices, enabling higher quality software, and better performing and safer robots. Using AWS RoboMaker fleet management, built on AWS IoT Greengrass, you can deploy an application to a fleet of robots. Using the CloudWatch metrics and logs extension for ROS, you can monitor these robots throughout their lifecycle to understand CPU, speed, memory, battery, and more. Learn more »
Machine Learning
Amazon SageMaker Neo
Amazon SageMaker Neo enables developers to train machine learning models once and run them anywhere in the cloud and at the edge. Amazon SageMaker Neo optimizes models to run up to twice as fast, with less than a tenth of the memory footprint, with no loss in accuracy. Learn more »
Amazon SageMaker Edge Manager
Amazon SageMaker Edge Manager helps you optimize, secure, monitor, and maintain machine learning models on fleets of edge devices to ensure that models deployed on edge devices are operating correctly. Learn more »
Amazon Monitron
Amazon Monitron is an end-to-end system that uses machine learning (ML) to detect abnormal behavior in industrial machinery, enabling you to implement predictive maintenance and reduce unplanned downtime. Learn more »
AWS Panorama
AWS Panorama is a machine learning Appliance and Software Development Kit (SDK) that allows organizations to bring computer vision (CV) to on-premises cameras to make predictions locally with high accuracy and low latency. Learn more »
AWS IoT Greengrass
AWS IoT Greengrass seamlessly extends AWS to edge devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage. With AWS IoT Greengrass, connected devices can run AWS Lambda functions, Docker containers, or both, execute predictions based on machine learning models, keep device data in sync, and communicate with other devices securely – even when not connected to the Internet. Learn more »
FreeRTOS
FreeRTOS is an open source, real-time operating system for microcontrollers that makes small, low-power edge devices easy to program, deploy, secure, connect, and manage. Distributed freely under the MIT open source license, FreeRTOS includes a kernel and a growing set of software libraries suitable for use across industry sectors and applications. FreeRTOS is built with an emphasis on reliability and ease of use. Learn more »
AWS IoT Core
AWS IoT Core lets you connect IoT devices to the AWS cloud without the need to provision or manage servers. AWS IoT Core can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT Core, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected. Learn more »
AWS IoT SiteWise
AWS IoT SiteWise makes it easy to collect, organize, and analyze data from industrial equipment at scale. With AWS IoT SiteWise Edge, you can collect, organize, process, and monitor equipment data locally before sending the data to the AWS Cloud. You run SiteWise Edge on local hardware such as third-party industrial gateways and computers, or on AWS Outposts and AWS Snow Family compute devices. Learn more »
Amazon Location Service
Amazon Location Service makes it easy for developers to add location functionality to applications without compromising data security and user privacy.
Location data is a vital ingredient in today’s applications, enabling capabilities ranging from asset tracking to location-based marketing. However, developers face significant barriers when integrating location functionality into their applications. This includes cost, privacy and security compromises, and tedious and slow integration work.
Amazon Location Service provides affordable data, tracking and geofencing capabilities, and native integrations with AWS services, so you can create sophisticated location-enabled applications quickly, without the high cost of custom development. You retain control of your location data with Amazon Location, and you can combine proprietary data with data from the service. Amazon Location provides cost-effective location-based services (LBS) using high-quality data from global, trusted providers Esri and HERE.
Benefits
Privacy and security
With Amazon Location Service, you retain control of your organization’s data. Amazon Location Service anonymizes all queries sent to data providers by removing customer metadata and account information. Sensitive tracking and geofencing location information, such as facility, asset, and personnel locations, is processed and retained only in your account. This helps you shield sensitive information from third parties, protect user privacy, and reduce your application’s security risks. With Amazon Location Service, neither Amazon nor third parties have rights to sell your data or use it for advertising.
High-quality and cost-effective
Amazon Location Service provides high-quality geospatial data from established, global providers Esri and HERE. Application developers trust Esri and HERE’s data to route millions of vehicles and power hundreds of thousands of mobile applications and websites today. Now you can affordably build applications using their data through Amazon Location Service, along with tracking and geofencing capabilities that you don’t have to build in-house. Please visit our data providers’ page and pricing page to learn more.
Simple access to location data
With the fully managed Amazon Location Service, integrating geospatial information into your application is as easy as calling the Amazon Location Service application programming interface (API). The API is consistent across LBS data providers, so you don’t need to learn and integrate multiple APIs to get the data you want for different use cases or geographies. To help you explore and try geolocation functions, the Amazon Location Service console includes a visual, interactive learning tool. You can get started quickly with the Amazon Location Service back-end and front-end software development kits (SDKs), sample code for tasks such as data visualization, and solution guides for asset tracking, geomarketing, and delivery.
Shorter time to production
Amazon Location Service helps you move applications from experimentation to production faster by providing integrations with Amazon CloudFormation, AWS CloudTrail, Amazon CloudWatch, Amazon EventBridge, AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), and includes tagging functionality. Native integrations with AWS services provide you with built-in features from health and monitoring of your application, using existing security controls, to inclusion in event-driven architectures. With Amazon Location Service you can apply your organization’s cloud best practices and avoid establishing new standards for additional vendors.
What Is Edge Location In AWS
Edge Locations are quite important in AWS and are responsible for Static content delivery that helps the consumer to get a quicker response.
What Is Edge Location In AWS? An edge location is a very closest point to the user or consumer using the AWS service that contains a small setup instead of the server and is responsible to deliver a static content as a quick respose to the user request.
In this AWS article, we will discuss What Is Edge Location In AWS, and along with that, we will also discuss a few other topics as below.
What Is Edge Location In AWS
Well, if your question is What is an Edge Location in AWS, then here is the simplest answer for you.
In simple words, An edge location is a very closest point to the user who is actually using the AWS service. Basically, there won’t be any server present in these edge locations rather there will be a small setup available at these edge locations.
The edge location helps you by providing a static content from the closest location of the request.
If you will analyze the scenario in a little depth, what exactly happens is, once the user or consumer sends a request, to provide a faster response, instead of getting the response from the main server or the main source, it routes to the very closest edge location and delivers the response from there.
The Edge location is responsible for getting a faster response for the user request that intern helps to reduce the access time and reduce the latency rate for delivery.
There will be a number of edge locations available across many major cities around the Globe.
Key Benefits Of Edge Location In AWS
Below are the list of key benefits of AWS edge locations.
Faster Response
Since the Edge location is present very close to the request and provides the static content as a response to the user or consumer so the user or consumer can get a quicker response.
Less Access Time
The Edge locations help the user or consumer to minimize the access time by providing a quicker response.
Reduce The Latency Rate
Helps to reduce the latency rate for the delivery of response.
What can AWS edge locations be used for?
AWS edge locations are responsible for static content delivery from the very closest location of the request that helps the consumer or user to get a faster response with less access time, less latency rate of delivery.
AWS Edge Locations VS Availability Zones
Let’s point out some key differences between AWS Edge Locations and Availability zones.
| AWS Edge Locations | Availability Zones |
| An edge location is the very closest point to the user who is actually using the AWS service. Basically, there won’t be any server present in these edge locations rather there will be a small setup available at these edge locations. | Availability zones are considered as logical data centers located at different AWS regions and are responsible to provide better network connectivity and separate power to AWS customers. |
| AWS Edge Locations are responsible for providing static content delivery to make sure AWS user gets the response faster. | Availability Zones are responsible for better network connectivity, hosting servers, analytics services, etc. |
| AWS Edge Locations are very much closer to the user requests. | Less close compare to AWS Edge Locations. |
| Provides better Latency compare to Availability Zones. | Lesser compare to AWS Edge Locations. |
These are the differences between AWS Edge Locations and Availability zones.
AWS Edge Locations In India
There are approximately 17 AWS edge locations are present in India as of now and mostly the number will increase in the future. Below is the list of AWS edge locations based on different major cities in India.
How many edge locations are there in AWS?
There are approximately 44 AWS edge locations are present in different regions across the globe as of now. Assuming, these numbers will increase in the future.
AWS Cloudfront
Well, as part of the AWS CloudFront tutorial, Let’s discuss here What is AWS Cloudfront, AWS CloudFront tutorial, Benefits of AWS Cloudfront, etc.
AWS CloudFront Tutorial
AWS Cloudfront is an excellent content delivery network (CDN) service, which is very much fast and can able to deliver data faster and with high security to all the customers across the globe with low latency.
The important point here is, the data is highly secure with lots of advanced security features and encryption algorithms and it is well integrated with Amazon Route 53, AWS Shield, and AWS Web Application Firewall, etc to protect your data from different types of attacks.
Key Benefits of AWS Cloudfront
There are a lot of benefits working with AWS Cloudfront. Let’s discuss a few key benefits of AWS Cloudfront.
Fast Content Delivery
Amazon Cloudfront network has more than 225 points of presence that helps you provide the fastest content delivery to the AWS consumer or AWS user with very low latency. Most importantly, It is highly available to AWS users or AWS consumers.
More Cost Effective
Amazon CloudFront provides you a pay-as-you-go pricing model with a few customized pricing options that help you to save a lot of costs. The interesting stuff is you no need to pay anything as the transfer fee for the origin that fetches from any AWS origin.
You can get free custom TLS certificates from AWS Certificate Manager. The content delivery network supports part is included with your existing AWS Support subscription so you no need to pay any additional charge for the specific CDN support.
Highly Secure
Amazon CloudFront is one of the highly secure content delivery networks that can help you to secure your application as well as network.
You can integrate Amazon CloudFront with AWS Shield, AWS Web Application Firewall, and different firewall rules to protect your application and network from different types of attacks.
Amazon CloudFront is certified with FedRAMP Moderate, PCI DSS, SOC 1/2/3, etc.
Easy Integration With Other AWS Services
Amazon CloudFront can seamlessly work with other AWS services like Amazon EC2, Amazon S3, Elastic Load Balancing, etc.
From a developer’s perspective, it helps with AWS Cloud Development Kit, different APIs, and to monitor the logs, it can easily integrate with Amazon Cloudwatch, etc that makes the developer’s life easier.
AWS CloudFront Pricing
The structure of AWS CloudFront Pricing model is divided into 3 parts and those are as below
Free Tier
First time when you will sign up as a new AWS customer, you will get the below benefits for 12 months at free of cost.
On-demand Pricing
Here, you need to pay based the data transfer per GB and based on the region.
You can check out, AWS CloudFront Pricing for the complete pricing details.
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Wrapping Up
In this article, we have discussed, What Is Edge Location In AWS and along with that, we have also discussed the below topics
What is an Edge Location in AWS? A Simple Explanation
Edge locations are AWS data centers designed to deliver services with the lowest latency possible. Amazon has dozens of these data centers spread across the world. They’re closer to users than Regions or Availability Zones, often in major cities, so responses can be fast and snappy. A subset of services for which latency really matters use edge locations, including:
What are the benefits of AWS edge locations?
Edge locations reduce latency in a couple of ways.
Some edge location services return a fast response directly to the user. For example, CloudFront caches content in edge locations, and that content can be served directly from the cache. Since the edge location is physically much closer to the user than the origin server, it has lower latency.
Other edge location services route traffic onto the AWS network. AWS has a global network backbone of high-bandwidth, redundant fiber links. Traffic sent over this network is often faster and more reliable than the public internet, especially over long distances. For example, if you download an object using S3 Transfer Acceleration, that object travels from S3 over the AWS global network to your nearest edge location, and it only uses the public internet for the final hop.
There are many more edge locations than Regions. This means users are more likely to be close to an edge location, and get those low latency responses. Amazon adds new edge locations regularly, and users who live nearby will see an automatic improvement in performance. For example, Amazon recently added their first edge location in Thailand. If your application was using AWS Global Accelerator, it would have become faster for Thai users—with no effort required on your part.
Use cases
Edge locations are used for a number of AWS features.
You can’t run your workloads directly in edge locations; they’re only used by Amazon’s managed services.
Edge locations aren’t the same as Local Zones, which let you run your own workloads with very low latency. Local Zones are a fairly new type of deployment that put more AWS services in major metropolitan areas, so you can run compute, storage and database workloads with single-second latency. They’re only available in a few U.S. cities right now, but they’re something to watch for the future.
Edge locations and CloudFront
When people think about edge locations, they usually think about CloudFront, so it’s worth discussing in more detail.
CloudFront is Amazon’s content delivery network that is primarily used to speed up websites. It’s particularly useful for large, static assets—like images and videos. CloudFront sits in front of an “origin” server (which serves the original content), and caches it at the edge locations around the world.
When a user visits a site, they’re routed to the nearest edge location using DNS. CloudFront looks to see if the page they requested is cached. If it is, the page is served directly from the cache. If it isn’t, CloudFront fetches the page from the origin, stores it in the cache, and serves it to the user. The next user to hit the same edge location will get the page served from the cache.
The more responses that can be served from the cache, the lower the latency for users—and the lower the load on the origin.
To help serve more responses from the cache, CloudFront actually has two tiers of edge location: edge points of presence (POPs) and regional edge caches (RECs). Edge POPs are more numerous and closer to users, but they have smaller caches. Regional edge caches are fewer and further away, but each one has more storage, so they can cache content for longer.
The regional edge caches sit between the origin server and the edge POPs. If content isn’t cached in a particular edge POP, it can be retrieved from the regional edge cache without going back to the origin server.
For example, England has one regional edge cache in London, and 11 edge POPs spread across the country. If a user in Manchester visits a site, CloudFront will first try the cache in their nearest edge POP, then the cache in the London REC; only if that doesn’t work will it go back to the origin server.
Some edge locations are more expensive to run than others, so Amazon split them into a couple of price classes. The default price class includes every edge location. The other price classes only include the edge locations in less expensive regions.
If you choose a non-default price class, you’ll have a lower CloudFront bill, but users in some geographic regions will see higher latency. Whether this is a sensible trade-off will depend on the geography of your users.
The Amazon docs have historically been a bit vague about exactly where these functions run; they don’t actually run in every edge location, but in the regional edge caches (which usually means the nearest region). CloudFront copies the function to every edge cache, and routes requests from the edge POP to the nearest one. (It appears as though [email protected] wasn’t quite as catchy.) Among other things, [email protected] is used for authentication, A/B testing, and dynamic web applications.
If you want to run code directly in edge locations, you could look at CloudFront Functions. This is a newly-announced feature that lets you run JavaScript functions directly in edge locations.
CloudFront Functions are designed for lightweight, fast functions that can run incredibly quickly—things like URL rewrites or HTTP header manipulation. They have more restrictions on runtime, filesystem and network access. If you can fit inside the restrictions, they can be faster and cheaper than [email protected]
Other AWS services build on top of CloudFront to deliver their own features. S3 Transfer Acceleration, API Gateway, and Application Load Balancers can all use CloudFront to improve performance—and, in turn, use CloudFront’s network of edge locations.
How many edge locations are there—and where are they?
The documentation for CloudFront has a map that shows every edge location. At time of writing (May 2021), there are over 225 edge locations spread across 47 different countries.
That said, Amazon expands their network pretty regularly. In the last year, Amazon has announced 13 additional locations, including five new countries.
Edge locations expand the reach of the AWS network, and they’re typically found in colocation facilities. These are third-party data centers, which have lots of bandwidth and connect with other networks and providers. This gives AWS plenty of options for connectivity with the outside world, including domestic ISPs.
Note that not every edge location supports every service; check the per-service documentation to see exactly which edge locations are used by whatever service you’re using.
How do I take advantage of edge locations?
Here’s the great news: You don’t need to do anything to take advantage of edge locations.
If you’re an AWS customer and you use services like CloudFront or Route 53, you’re automatically using edge locations and getting all of the associated benefits. You don’t have to do any configuration or opt-in—it’s all part of the package.
But even if you’re not an AWS customer, you still benefit. CloudFront serves thousands of websites, including ones you visit. And guess what? You saw them that much faster, all thanks to edge locations.
Is your architecture set up to make the most of edge locations? We can help you figure that out.
by Alex Chan
Alex is a software developer at Wellcome Collection, where they build cloud services to search and preserve a variety of digital collections.
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