AWS Architecture Blog

Category: Technical How-to

Field Notes: Tracking Overall Equipment Effectiveness with AWS IoT Analytics and Amazon QuickSight

This post was co-authored with Michael Brown, Senior Solutions Architect, Manufacturing at AWS. Overall equipment effectiveness (OEE) is a measure of how well a manufacturing operation is utilized (facilities, time and material) compared to its full potential, during the periods when it is scheduled to run. Measuring OEE provides a way to obtain actionable insights […]

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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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Field Notes: Automate Disaster Recovery for AWS Workloads with Druva

This post was co-written by Akshay Panchmukh, Product Manager, Druva and Girish Chanchlani, Sr Partner Solutions Architect, AWS. The Uptime Institute’s Annual Outage Analysis 2021 report estimated that 40% of outages or service interruptions in businesses cost between $100,000 and $1 million, while about 17% cost more than $1 million. To guard against this, it […]

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Field Notes: How to Deploy End-to-End CI/CD in the China Regions Using AWS CodePipeline

This post was co-authored by Ravi Intodia, Senior Technology Architect, Infosys Technologies Ltd, Nirmal Tomar, Principal Consultant, Infosys Technologies Ltd and Ashutosh Pateriya, Solution Architect, AWS. Today’s businesses must contend with fast-changing competitive environments, expanding security needs, and scalability issues. Businesses must find a way to reconcile the need for operational stability with the need […]

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Field Notes: How to Boost Your Search Results Using Relevance Tuning with Amazon Kendra

One challenge enterprises face when they implement an intelligent search solution for their large data sources, is the ability to quickly provide relevant search results. When working with large data sources, not all features or attributes within your data will be equally relevant to all your users. We want to prioritize identifying and boosting specific […]

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Field Notes: Deploy and Visualize ROS Bag Data on AWS using rviz and Webviz for Autonomous Driving

In the automotive industry, ROS bag files are frequently used to capture drive data from test vehicles configured with cameras, LIDAR, GPS, and other input devices. The data for each device is stored as a topic in the ROS bag file. Developers and engineers need to visualize and inspect the contents of ROS bag files to identify […]

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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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Figure 1: Reference architecture for Amazon RDS with AWS Backup using KMS over two different accounts

Field Notes: How to Back Up a Database with KMS Encryption Using AWS Backup

An AWS security best practice from The 5 Pillars of the AWS Well-Architected Framework is to ensure that data is protected both in transit and at rest. One option is to use SSL/TLS to encrypt data in transit, and use cryptographic keys to encrypt data at rest. To meet your organization’s disaster recovery goals, periodic snapshots of […]

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Figure 1: Generating PDF invoice with Lambda

Field Notes: Three Steps to Port Your Containerized Application to AWS Lambda

AWS Lambda support for container images allows porting containerized web applications to run in a serverless environment. This gives you automatic scaling, built-in high availability, and a pay-for-value billing model so you don’t pay for over-provisioned resources. If you are currently using containers, container image support for AWS Lambda means you can use these benefits […]

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reference architecture - build automated scene detection pipeline - Autonomous Driving

Field Notes: Building an automated scene detection pipeline for Autonomous Driving – ADAS Workflow

This Field Notes blog post in 2020 explains how to build an Autonomous Driving Data Lake using this Reference Architecture. Many organizations face the challenge of ingesting, transforming, labeling, and cataloging massive amounts of data to develop automated driving systems. In this re:Invent session, we explored an architecture to solve this problem using Amazon EMR, Amazon […]

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