AWS Architecture Blog

Category: Amazon Simple Storage Service (S3)

Field Notes: Building On-Demand Disaster Recovery for IBM DB2 on AWS

With the increased adoption of critical applications running in the cloud, customers often find themselves revisiting traditional strategies that were adopted for on-premises workloads. When it comes to IBM DB2, one of the first decisions to make is to decide what backup and restore method will be used. In this blog post, we will show […]

Read More
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, […]

Read More
Figure 2. Extending the solution

Scale Up Language Detection with Amazon Comprehend and S3 Batch Operations

Organizations have been collecting text data for years. Text data can help you intelligently address a range of challenges, from customer experience to analytics. These mixed language, unstructured datasets can contain a wealth of information within business documents, emails, and webpages. If you’re able to process and interpret it, this information can provide insight that […]

Read More
Figure 1. Step Functions Express workflow solution

Running a Cost-effective NLP Pipeline on Serverless Infrastructure at Scale

Amenity Analytics develops enterprise natural language processing (NLP) platforms for the finance, insurance, and media industries that extract critical insights from mountains of documents. We provide a scalable way for businesses to get a human-level understanding of information from text. In this blog post, we will show how Amenity Analytics improved the continuous integration (CI) […]

Read More
Figure 1. Architecture for batch inference at scale with Amazon SageMaker

Batch Inference at Scale with Amazon SageMaker

Running machine learning (ML) inference on large datasets is a challenge faced by many companies. There are several approaches and architecture patterns to help you tackle this problem. But no single solution may deliver the desired results for efficiency and cost effectiveness. In this blog post, we will outline a few factors that can help […]

Read More
Figure 1. App2Container scaling architecture overview

Migrate your Applications to Containers at Scale

AWS App2Container is a command line tool that you can install on a server to automate the containerization of applications. This simplifies the process of migrating a single server to containers. But if you have a fleet of servers, the process of migrating all of them could be quite time-consuming. In this situation, you can […]

Read More
Figure 1. Audit Surveillance data lake architecture diagram

How Parametric Built Audit Surveillance using AWS Data Lake Architecture

Parametric Portfolio Associates (Parametric), a wholly owned subsidiary of Morgan Stanley, is a registered investment adviser. Parametric provides investment advisory services to individual and institutional investors around the world. Parametric manages over 100,000 client portfolios with assets under management exceeding $400B (as of 9/30/21). As a registered investment adviser, Parametric is subject to numerous regulatory […]

Read More
Overview of services that integrate with CloudWatch and Trusted Advisor for monitoring metrics

Optimizing your AWS Infrastructure for Sustainability, Part III: Networking

In Part I: Compute and Part II: Storage of this series, we introduced strategies to optimize the compute and storage layer of your AWS architecture for sustainability. This blog post focuses on the network layer of your AWS infrastructure and proposes concepts to optimize your network utilization. Optimizing the networking layer of your AWS infrastructure When you […]

Read More
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 […]

Read More
Serverless S3 metadata search

Swiftly Search Metadata with an Amazon S3 Serverless Architecture

As you increase the number of objects in Amazon Simple Storage Service (Amazon S3), you’ll need the ability to search through them and quickly find the information you need. In this blog post, we offer you a cost-effective solution that uses a serverless architecture to search through your metadata. Using a serverless architecture helps you […]

Read More