AWS Architecture Blog
Category: Amazon API Gateway
Issues to Avoid When Implementing Serverless Architecture with AWS Lambda
There’s lots of articles and advice on using AWS Lambda. I’d like to show you how to avoid some common issues so you can build the most effective architecture. Technologies emerge and become outdated quickly. So, solutions that may look like the right solution, otherwise known as anti-patterns, can prevent you from building a cost-optimized, […]
Ensure Optimal Application Performance with Distributed Load Testing on AWS
As a modern enterprise, your customers expect 100% availability of your critical web and mobile applications. Unforeseen events such as COVID-19, have necessitated many customer engagements to become virtual. This has made web and mobile applications even more critical. Distributed Load Testing on AWS (DLT) helps you automate the performance testing of your software applications […]
Managing Asynchronous Workflows with a REST API
While building REST APIs, architects often discover that they have particular operations that have to run in the background outside of the request processing scope. Some of these may be “fire and forget”—there is no need to report back to the client—for example, when initiating a shipment. For others, the client may need a response, […]
Real-Time In-Stream Inference with AWS Kinesis, SageMaker, & Apache Flink
As businesses race to digitally transform, the challenge is to cope with the amount of data, and the value of that data diminishes over time. The challenge is to analyze, learn, and infer from real-time data to predict future states, as well as to detect anomalies and get accurate results. In this blog post, we’ll […]
Serving Content Using a Fully Managed Reverse Proxy Architecture in AWS
With the trends to autonomous teams and microservice style architectures, web frontend tiers are challenged to become more flexible and integrate different components with independent architectures and technology stacks. Two scenarios are prominent: Micro-Frontends, where there is a single page application and components within this page are owned by different teams Web portals, where there […]
Fast and Cost-Effective Image Manipulation with Serverless Image Handler
As a modern company, you most likely have both a web-based and mobile app platform to provide content to customers who view it on a range of devices. This means you need to store multiple versions of images, depending on the device. The resulting image management can be a headache as it can be expensive […]
Unlocking Data from Existing Systems with a Serverless API Facade
In today’s modern world, it’s not enough to produce a good product; it’s critical that your products and services are well integrated into the surrounding business ecosystem. Companies lose market share when valuable data about their products or services are locked inside their systems. Business partners and internal teams use data from multiple sources to […]
Field Notes: Serverless Container-based APIs with Amazon ECS and Amazon API Gateway
A growing number of organizations choose to build their APIs with Docker containers. For hosting and exposing these container-based APIs, they need a solution which supports HTTP requests routing, autoscaling, and high availability. In some cases, user authorization is also needed. For this purpose, many organizations are orchestrating their containerized services with Amazon Elastic Container […]
Fundbox: Simplifying Ways to Query and Analyze Data by Different Personas
Fundbox is a leading technology platform focused on disrupting the $21 trillion B2B commerce market by building the world’s first B2B payment and credit network. With Fundbox, sellers of all sizes can quickly increase average order volumes (AOV) and improve close rates by offering more competitive net terms and payment plans to their SMB buyers. […]
Building a Scalable Document Pre-Processing Pipeline
In a recent customer engagement, Quantiphi, Inc., a member of the Amazon Web Services Partner Network, built a solution capable of pre-processing tens of millions of PDF documents before sending them for inference by a machine learning (ML) model. While the customer’s use case—and hence the ML model—was very specific to their needs, the pipeline that does […]