AWS Compute Blog
Category: Internet of Things
Invoking on-premises resources interactively using AWS Step Functions and MQTT
Accessing on-premises resources with workers controlled via Step Functions using MQTT and AWS IoT Core is a secure, reactive, and cost effective way to run on-premises jobs. Consider updating your hybrid workloads from using inefficient polling or schedulers to the reactive approach described in this post.
Processing geospatial IoT data with AWS IoT Core and the Amazon Location Service
This post is written by Swarna Kunnath (Cloud Application Architect), and Anand Komandooru (Sr. Cloud Application Architect). This blog post shows how to republish messages that arrive from Internet of Things (IoT) devices across AWS accounts using a replatforming approach. A replatforming approach minimizes changes to the core application architecture, allowing an organization to reduce […]
Running AWS Lambda functions on AWS Outposts using AWS IoT Greengrass
This blog post is written by Adam Imeson, Sr. Hybrid Edge Specialist Solution Architect. Today, AWS customers can deploy serverless applications in AWS Regions using a variety of AWS services. Customers can also use AWS Outposts to deploy fully managed AWS infrastructure at virtually any datacenter, colocation space, or on-premises facility. AWS Outposts extends the […]
Building serverless applications with streaming data: Part 2
This post focuses on ingesting data into Kinesis Data Streams. I explain the two approaches used by the Alleycat frontend and the simulator application and highlight other approaches that you can use. I show how messages are routed to shards using partition keys. Finally, I explore additional factors to consider when ingesting data, to improve efficiency and reduce cost.
Managing backend requests and frontend notifications in serverless web apps
Web and mobile applications usually interact with a backend service, often via an API. Many front-end applications pass requests for processing, wait for a result, and then display this to the user. This synchronous approach is only one way to handle messages, but modern applications have alternatives to provide a better user experience. There are […]
Implementing geohashing at scale in serverless web applications
This blog post explores how you can solve geolocation queries using geohashing. I discuss how you should decide on the resolution of a geohash for your specific workload.
Building a location-based, scalable, serverless web app – part 3
In part 2, I cover the API configuration, geohashing algorithm, and real-time messaging architecture used in the Ask Around Me web application. These are needed for receiving and processing questions and answers, and sending results back to users in real time. In this post, I explain the backend processing architecture, how data is aggregated, and […]
Building a location-based, scalable, serverless web app – part 2
This post explores the backend architecture of the Ask Around Me application. I compare the cost and features in deciding between REST APIs and HTTP APIs in API Gateway. I introduce geohashing and the npm library used to handle geo-location queries in DynamoDB. And I show how you can build real-time messaging into your web applications using the publish-subscribe pattern with AWS IoT Core.
Building a location-based, scalable, serverless web app – part 1
In this post, I introduce the Ask Around Me example web application. Learn to build a serverless realtime, Vue.js web app in part 1 of this series.
Building a Raspberry Pi telepresence robot using serverless: Part 2
The deployed web frontend and the robot it controls. In a previous post, I show how to build a telepresence robot using serverless technologies and a Raspberry Pi. The result is a robot that transmits live video using Amazon Kinesis Video Streams with WebRTC. It can be driven remotely via an AWS Lambda function using […]