AWS Architecture Blog

Category: Intermediate (200)

Figure 1. Active Directory objects synchronization to Okta identity cloud

Integrate Okta to Extend Active Directory Infrastructure into AWS

Are you ready to extend your on-premises Active Directory to Amazon Web Services (AWS) to remove undifferentiated heavy lifting? Would you like to maintain a highly available Directory Service for your applications? Companies who have already set up integration with Okta Identity Cloud for external or internal applications require Active Directory objects to be synced […]

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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, […]

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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 […]

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Figure 4. Approaches to migrate relational database resources

Migrate Resources Between AWS Accounts

Have you ever wondered how to move resources between Amazon Web Services (AWS) accounts? You can really view this as a migration of resources. Migrating resources from one AWS account to another may be desired or required due to your business needs. Following are a few scenarios where this may be of benefit: When you […]

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Figure 1. Synchronous container applications diagram

Scaling Data Analytics Containers with Event-based Lambda Functions

The marketing industry collects and uses data from various stages of the customer journey. When they analyze this data, they establish metrics and develop actionable insights that are then used to invest in customers and generate revenue. If you’re a data scientist or developer in the marketing industry, you likely often use containers for services […]

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Figure 5. Connectivity examples for AWS networking and content delivery services

Augmenting VMware Cloud on AWS Workloads with Native AWS services

VMware Cloud on AWS allows you to quickly migrate VMware workloads to a VMware-managed Software-Defined Data Center (SDDC) running in the AWS Cloud and extend your on-premises data centers without replatforming or refactoring applications. You can use native AWS services with Virtual Machines (VMs) in the SDDC, to reduce operational overhead and lower your Total […]

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Figure 1. Architecture of document processing workflow

Automate Document Processing in Logistics using AI

Multi-modal transportation is one of the biggest developments in the logistics industry. There has been a successful collaboration across different transportation partners in supply chain freight forwarding for many decades. But there’s still a considerable overhead of paperwork processing for each leg of the trip. Tens of billions of documents are processed in ocean freight […]

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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 […]

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Figure 1. High-level architecture pattern for automating chaos engineering

Chaos Testing with AWS Fault Injection Simulator and AWS CodePipeline

The COVID-19 pandemic has proven to be the largest stress test of our technology infrastructures in generations. A meteoric increase in internet consumption followed, due in large part to working and schooling from home. The chaotic, early months of the pandemic have clearly demonstrated the value of resiliency in production. How can we better prepare […]

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Figure 6. Architecture overview

Build a Virtual Waiting Room with Amazon DynamoDB and AWS Lambda at SeatGeek

As retail sales, products, and customers continue to expand online, we’ve seen a trend towards releasing products in limited quantities to larger audiences. Demand of these products can be high, due to limited production capacity, venue capacity limits, or product exclusivity. Providers can then experience spikes in transaction volume, especially when multiple event sales occur […]

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