Category: AWS Lambda

Organizations across industries use signed URLs to grant temporary, credential-less access to private resources such as receipts, medical or financial records, legal files, or confidential reports. However, signed URLs can be reused by anyone until they expire, creating security risks if a URL is shared or inadvertently disclosed. This risk can be mitigated by vending […]

Since its launch in 2006, Amazon S3 has used a global namespace where bucket names must be unique across all AWS accounts and AWS Regions. This design has served customers well at scale, but organizations managing multiple accounts and environments often encounter naming collisions. When a bucket is deleted, its name returns to the global […]

Every day, AWS customers process millions of compressed files in Amazon S3, from small ZIP archives to multi-gigabyte datasets. While decompressing a single file is straightforward, processing thousands of files efficiently requires complex orchestration, error handling, and infrastructure management. Consider this scenario: Your organization receives over 10,000 compressed files daily from partners, ranging from 5 […]

Modern enterprises routinely manage billions of objects across their cloud storage environments, needing efficient bulk operations for disaster recovery, compliance management, data transfer, and cost optimization. Performing these operations manually or through custom scripts becomes impractical at scale, often creating operational bottlenecks when time-sensitive actions are necessary. Organizations frequently need to identify and process specific […]

Automated testing in a pre-production environment is crucial for verifying the reliability and stability of software releases in any organization. However, for many applications, writing and executing these tests necessitates the use of data from production system. This production data is valuable for testing and development because it represents real-world scenarios, usage patterns, and edge […]

KKCompany Technologies (KKCompany) is an AI multimedia technology group based in Taipei, with offices across Asia. Its flagship music streaming platform, KKBOX, serves over 12 million users worldwide. As its user base and music catalog rapidly grew, KKCompany faced significant challenges with its on-premises storage infrastructure. These included costly hardware scaling, constrained rack space, and […]

Editor’s note: AWS is not responsible for UCI’s public GitHub repo linked in this post, which has been provided so that interested parties can explore the solution described in this post in more detail. The University of California, Irvine (UCI) is a public land-grant research university with troves of research data stored on servers in […]

Health plans process billions of claims electronically each year. Council for Affordable Quality Healthcare (CAQH) estimates that approximately 10% of claims still arrive as paper documents, accounting for hundreds of millions of paper submissions annually in the U.S. These paper claims create processing bottlenecks and consume a disproportionate share of operational costs and resources, with […]

Data caching is a critical strategy for optimizing application performance in today’s data-intensive environments. By storing frequently accessed information in high-speed storage locations, organizations can dramatically reduce access times, optimize the use of compute resources, and improve overall system responsiveness. Effective caching strategies become particularly essential for workloads that require consistent low latency, such as […]

Pendulum is an AI-powered analytics platform that aggregates and analyzes real-time data from social media, news, and podcasts. Designed to help organizations stay ahead, it enables reputation monitoring, early crisis detection, and influencer activity tracking. Using machine learning (ML) enables Pendulum to surface key insights from multiple channels, providing a comprehensive view of the digital […]