AWS Storage Blog
Tag: AWS Cloud Storage
Copy objects between any Amazon S3 storage classes using S3 Batch Operations
When storing data, choosing the storage class that is best suited for your particular needs allows you to optimize your storage costs, performance, and object availability. However, over time, the access patterns for your objects can change, which means you may need to migrate your objects to a different storage class to continue optimize for […]
Implementing conversational AI for S3 Tables using Model Context Protocol (MCP)
In today’s data-driven world, the ability to interact with your data through natural language is becoming increasingly valuable. By combining the power of conversational AI with Amazon S3 Tables, organizations can democratize data access and enable individuals across technical skill levels to query, analyze, and gain insights from their data using simple conversations. Model Context […]
Cost-efficient backup archiving with Veeam Direct to Amazon S3 Glacier storage classes
If you work with data storage and data protection, then you’re aware of the “3-2-1 rule.” System administrators consider the 3-2-1 rule a best practice for backup and disaster recovery (DR), and it is recommended by US-CERT. The 3-2-1 rule states that you should have three copies of your data (your production data and two […]
Cloud-powered tick data: revolutionizing financial data storage with Amazon S3 and LSEG
Data has become the lifeblood of modern financial markets, driving everything from investment decisions to regulatory compliance. Nowhere is this more evident than in electronic trading, where the ability to efficiently store, process, and analyze historical market data can make the difference between success and failure. Market participants are witnessing an unprecedented surge in tick […]
Improve recovery resilience with AWS Backup support for Multi-party approval
Organizations must safeguard their backup infrastructure against evolving cyber threats. A comprehensive backup and recovery strategy needs three fundamental pillars: immutability with isolation to prevent tampering and ensure separation, integrity validation to ensure backup reliability, and predictable availability when needed. These pillars form the foundation of effective data protection. Immutability with isolation ensures that backups […]
Rapid monitoring of Amazon S3 bucket policy changes in AWS environments
Enterprises today manage hundreds of access policies across their expanding cloud environments. As they scale their cloud infrastructure, maintaining visibility into policy changes becomes increasingly important. Central security teams can enhance their cloud governance by implementing comprehensive monitoring of access policies. This approach supports compliance efforts while strengthening overall resource security across their environments. Users […]
How Uniphore achieved 30% cost savings by modernizing Windows servers on AWS
Uniphore is the first built-for-scale, AI-native company that infuses AI into every part of the enterprise experience. Uniphore’s enterprise-class multimodal AI and data platform unifies all elements of voice, video, text, and data by using generative AI, Knowledge AI, Emotion AI, and workflow automation together as trusted co-pilot. Uniphore was running one of their core […]
Protect on-premises VMware infrastructure with NetApp BlueXP Disaster Recovery, Amazon Elastic VMware Service, and Amazon FSx for NetApp ONTAP
Your VMware workloads contain critical data that drives business decisions and powers your operations. Maintaining the availability and resilience of your data is a top priority where potential disasters such as ransomware threats, catastrophic hardware failures, and natural calamities, can lead to costly downtime and data loss. To address these challenges, all businesses require strategic […]
Building multi-writer applications on Amazon S3 using native controls
Organizations managing data lakes often require additional infrastructure to support concurrent writes from multiple applications. Traditional approaches require external systems for coordination, adding infrastructure overhead, costs, and potential performance bottlenecks. Developers typically implement client-side locking mechanisms using databases or dedicated lock services, resulting in complex multi-step workflows. Amazon S3 offers capabilities to address these concurrent […]
Architecting scalable checkpoint storage for large-scale ML training on AWS
The exponential growth in size and complexity of foundation models (FMs) has created unprecedented infrastructure demands across compute, networking, and storage resources. Storage systems, in particular, face intense requirements for throughput, latency, and capacity. In machine learning (ML) model training, these storage demands are particularly evident in checkpointing—a critical reliability mechanism that periodically saves and […]