AWS Architecture Blog

Category: Amazon Kinesis

Figure 1. Architecture diagram of an anomaly detection solution for ecommerce traffic

Automating Anomaly Detection in Ecommerce Traffic Patterns

Many organizations with large ecommerce presences have procedures to detect major anomalies in their user traffic. Often, these processes use static alerts or manual monitoring. However, the ability to detect minor anomalies in traffic patterns near real-time can be challenging. Early detection of these minor anomalies in ecommerce traffic (such as website page visits and […]

Figure 1. Connect data streaming automation workflow

Automate Amazon Connect Data Streaming using AWS CDK

Many customers want to provision Amazon Web Services (AWS) cloud resources quickly and consistently with lifecycle management, by treating infrastructure as code (IaC). Commonly used services are AWS CloudFormation and HashiCorp Terraform. Currently, customers set up Amazon Connect data streaming manually, as the service is not available under CloudFormation resource types. Customers may want to […]

HighByte Intelligence Hub

Connecting an Industrial Universal Namespace to AWS IoT SiteWise using HighByte Intelligence Hub

This post was co-authored with Michael Brown, Sr. Manufacturing Specialist Architect, AWS; Dr. Rajesh Gomatam, Sr. Partner Solutions Architect, Industrial Software Specialist, AWS; Scott Robertson, Sr. Partner Solutions Architect, Manufacturing, AWS; John Harrington, Chief Business Officer, HighByte; and Aron Semie, Chief Technology Officer, HighByte Merging industrial and enterprise data across multiple on-premises deployments and industrial […]

Figure 1. PI Connector architecture

Ingesting PI Historian data to AWS Cloud using AWS IoT Greengrass and PI Web Services

In process manufacturing, it’s important to fetch real-time data from data historians to support decisions-based analytics. Most manufacturing use cases require real-time data for early identification and mitigation of manufacturing issues. A limited set of commercial off-the-shelf (COTS) tools integrate with OSIsoft’s PI Historian for real-time data. However, each integration requires months of development effort, […]

Figure 1. River architecture diagram, depicting the flow of data from data producers through the River data ingestion service into Snowflake.

How Cimpress Built a Self-service, API-driven Data Platform Ingestion Service

Cimpress is a global company that specializes in mass customization, empowering individuals and businesses to design, personalize and customize their own products – such as packaging, signage, masks, and clothing – and to buy those products affordably. Cimpress is composed of multiple businesses that have the option to use the Cimpress data platform. To provide […]

Figure 2. Containerized application for ingestion and Amazon Kinesis for format conversion

Designing a High-volume Streaming Data Ingestion Platform Natively on AWS

The total global data storage is projected to exceed 200 zettabytes by 2025. This exponential growth of data demands increased vigilance against cybercrimes. Emerging cybersecurity trends include increasing service attacks, ransomware, and critical infrastructure threats. Businesses are changing how they approach cybersecurity and are looking for new ways to tackle these threats. In the past, […]

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 […]

Final architecture

Toyota Connected and AWS Design and Deliver Collision Assistance Application

This post was cowritten by Srikanth Kodali, Sr. IoT Data Architect at AWS, and Will Dombrowski, Sr. Data Engineer at Toyota Connected Toyota Connected North America (TC) is a technology/big data company that partners with Toyota Motor Corporation and Toyota Motor North America to develop products that aim to improve the driving experience for Toyota […]

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 […]

Figure 1. Data pipeline architecture using AWS Services

Building a Data Pipeline for Tracking Sporting Events Using AWS Services

In an evolving world that is increasingly connected, data-centric, and fast-paced, the sports industry is no exception. Amazon Web Services (AWS) has been helping customers in the sports industry gain real-time insights through analytics. You can re-invent and reimagine the fan experience by tracking sports actions and activities. In this blog post, we will highlight […]