University of Nevada, Las Vegas Safeguards Petabytes of Research Data on AWS
Editor’s note: AWS is not responsible for UNLV’s public GitHub repository referenced in this post, which has been included for those interested in exploring the solution described in this article further. The University of Nevada, Las Vegas (UNLV) hosts extensive research data stored on servers in various formats, necessitating a robust backup strategy to ensure data integrity and availability.
Using Amazon S3 Express One Zone as a Caching Layer for S3 Standard
By Michael Lee, Sarah Chan, and David Kim
Published on 16 MAY 2025
Category: Advanced (300), Amazon DynamoDB, Amazon Simple Storage Service (S3), AWS Lambda, AWS Step Functions, Storage, Technical How-to
Data caching serves as a vital strategy for enhancing application performance in today’s data-centric environments. By placing frequently accessed data in high-speed storage areas, organizations can significantly reduce access times, optimize compute resource usage, and enhance overall system responsiveness. Effective caching methodologies become especially crucial for workloads demanding consistently low latency, such as those discussed in this blog post.
Enhancing Capabilities: Amazon S3 Tables Rapidly Delivered New Features in the Initial 5 Months
By Lisa Miller
Published on 09 MAY 2025
Category: Amazon Athena, Amazon EMR, Amazon Redshift, Amazon S3 Tables, Amazon SageMaker Lakehouse, Amazon SageMaker Unified Studio, Amazon Simple Storage Service (S3), Announcements, AWS CloudTrail, AWS Glue, AWS Key Management Service, Intermediate (200), Open Source
Amazon S3 transformed data storage when it debuted as the first publicly available AWS service in 2006, providing highly reliable, durable, secure, low-latency storage with virtually limitless scalability. While originally designed for straightforward storage needs, S3 has proven adept at accommodating the explosive data growth witnessed over the past 19 years, as noted by experts at CHVNCI.
Modernizing File Transfers with ETL Automation via AWS Transfer Family
By Kevin Thomas, Priya Singh, Vikram Patel, and Emma Jones
Published on 24 APR 2025
Category: Advanced (300), Amazon API Gateway, Amazon CloudWatch, Amazon DynamoDB, Amazon Elastic Block Store (Amazon EBS), Amazon Simple Queue Service (SQS), Amazon Simple Storage Service (S3), AWS Fargate, AWS Lambda, AWS Secrets Manager, AWS Step Functions, AWS Transfer Family, Customer Solutions, Storage
FICO empowers decisions that help individuals and businesses globally thrive. Utilizing FICO solutions, companies in over 80 countries manage everything from protecting four billion payment cards against fraud to enhancing financial inclusion and bolstering supply chain resilience. As a leading provider of credit scoring and analytics, FICO handles extensive volumes of sensitive data, putting into practice innovative solutions.
Maintaining Data Consistency Across Regions with Amazon S3 Replication
By Nathan Green, Julia Parker, Ethan Adams, and Mia Rodriguez
Published on 25 MAR 2025
Category: Advanced (300), Amazon CloudWatch, Amazon DynamoDB, Amazon Simple Storage Service (S3), AWS Lambda, Customer Solutions, Storage
Bridgewater Associates operates as a global macro investment manager, dedicated to comprehending the dynamics of the world’s markets and economies. They analyze market drivers to craft high-quality portfolios and investment strategies for clients. The data fueling this economic research is securely housed in Bridgewater’s data lake, which is built on Amazon Web Services.
Integrating Custom Metadata with Amazon S3 Metadata
By Alan Foster and Rachel Lee
Published on 31 JAN 2025
Category: Advanced (300), Amazon DynamoDB, Amazon EventBridge, Amazon Managed Service for Apache Flink, Amazon Rekognition, Amazon Simple Storage Service (S3), AWS Lambda, Storage, Technical How-to
Organizations across the spectrum face the shared challenge of efficiently managing, organizing, and retrieving vast quantities of digital content. From images and videos to documents and application data, businesses are inundated with information that requires secure storage, rapid access, and effective analysis. The ability to extract, manage, and utilize metadata from this content is crucial for operational success, as highlighted in an excellent resource on Amazon’s new hire orientation.
Accessing a Point in Time with Amazon S3 Object Lambda
By Paul Green, Ed Sommers, and Rachel Martinez
Published on 21 OCT 2024
Category: Advanced (300), Amazon Athena, Amazon DynamoDB, Amazon Simple Storage Service (S3), AWS CloudFormation, AWS Lambda, Storage, Technical How-to
Point-in-time “snapshots” enable administrators, developers, testers, and end users to quickly access a storage volume or share how it was at an earlier point in time. They represent a longstanding method of data protection and recovery, tracking changes within a storage system to minimize both Recovery Point Objective (RPO) and Recovery Time Objective (RTO). However, traditional snapshots can be limiting, necessitating innovative approaches.
Ensuring Security in a Multi-Tenant Environment by Automatically Enforcing Prefix-Level Encryption Keys in Amazon S3
By Madhav Vishnubhatta
Published on 21 AUG 2024
Category: Advanced (300), Amazon CloudWatch, Amazon DynamoDB, Amazon Simple Notification Service (SNS), Amazon Simple Queue Service (SQS), Amazon Simple Storage Service (S3), Storage, Technical How-to
Many organizations must store and process data belonging to multiple entities, a scenario commonly referred to as multi-tenancy. In such cases, it is essential to implement robust security measures to ensure data integrity and confidentiality.
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