AWS Architecture Blog

Category: Kinesis Data Streams

Field Notes: How to Enable Cross-Account Access for Amazon Kinesis Data Streams using Kinesis Client Library 2.x

Businesses today are dealing with vast amounts of real-time data they need to process and analyze to generate insights. Real-time delivery of data and insights enable businesses to quickly make decisions in response to sensor data from devices, clickstream events, user engagement, and infrastructure events, among many others. Amazon Kinesis Data Streams offers a managed […]

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How to Scale OpenTravel Messaging Architecture with Amazon Kinesis Data Streams

Field Notes: How to Scale OpenTravel Messaging Architecture with Amazon Kinesis Data Streams

The travel industry relies on OpenTravel messaging systems to collect and distribute travel data—like hotel inventory and pricing—to many independent ecommerce travel sites. These travel sites need immediate access to the most current hotel inventory and pricing data. This allows shoppers access to the available rooms at the right prices. Each time a room is […]

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Serverless compute with Fargate

Rate Limiting Strategies for Serverless Applications

Serverless technologies reduce the work needed to set up and maintain computing resources, provide built-in scalability, and optimize agility, performance, cost, and security. The pay-as-you-go model is particularly liberating for developers. You can fail fast, experiment more, and do it fairly cheaply. However, serverless brings its own challenges. In this blog, we’ll examine how to […]

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MDM Architecture Diagram

Digitally transform your factory with Machine Downtime Monitor on AWS

In manufacturing enterprises, digital transformation and Industry 4.0 are likely at the top of your mind. New technologies in the Industrial Internet of Things (IIoT) space are critical for monitoring your factory production environments for optimal performance and efficiency. Global events such as Covid-19 have increased interest in monitoring factory performance digitally, when access to […]

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architecture for the solution

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 […]

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