AWS Storage Blog

Tag: AWS Cloud Storage

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Automatic monitoring of actions taken on objects in Amazon S3

Administrators may need to monitor and audit actions, like uploads, updates, and deletes, taken on files and other data to comply with regulations or company policies. A scalable and reliable method of tracking and saving actions taken on files can reduce manual work and operational overhead while helping to ensure compliance. An event-based fanout architectures […]

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Streamlining Point-in-Time Recovery (PITR) for Amazon Aurora with AWS Backup

Customers expect database solutions to be both scalable and equipped with robust recovery mechanisms to address unexpected data disruptions. Unintentional transactions or system failures can impact the business. Recovering to a specific point-in-time with point-in-time-recovery (PITR) is indispensable for some customers with critical workloads or compliance requirements AWS Backup simplifies protecting Amazon Aurora databases with […]

Figure 1: Multi-region FSx for NetApp ONTAP with SnapMirror replication for SQL Server DR

Automating retrievals from the Amazon S3 Glacier storage classes

Faced with increasing amounts of data and a tightening economic climate, enterprises are looking to save money on their storage costs by moving rarely needed data to archival storage options. The least costly options require your internal systems to support receiving data back in hours or days, often called asynchronous retrievals. With this time delay, […]

Amazon S3 Object Lambda

Automatically modify data you are querying with Amazon Athena using Amazon S3 Object Lambda

Enterprises may want to customize their data sets for different requesting applications. For example, if you run an e-commerce website, you may want to mask Personally Identifiable Information (PII) when querying your data for analytics. Although you can create and store multiple customized copies of your data, that can increase your storage cost. You can […]

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Protecting data with AWS Backup Vault Lock

With ransomware a top concern for customers, backups are essential to data recovery and business continuity. Customers want a simple method, preferably in a user console, for enabling immutability for backup vaults holding the encrypted data copy. The write-once, read-many (WORM) model applied to backup data provides immutability to recover from accidental or malicious deletions. […]

Improve compute utilization with more Amazon EBS volume attachments on 7th generation Amazon EC2 instances

For many stateful containerized applications, such as those using Kubernetes orchestration, each stateful pod (the smallest deployable container object) may require dedicated persistent storage. A block storage solution is a good fit due to its high performance, low latency, and persistence attributes. If a compute instance has more compute resources to spare, you can only […]

Amazon S3 Express One Zone delivers cost and performance gains for ChaosSearch customers

ChaosSearch is an Amazon S3-native database built on a serverless, stateless compute architecture within AWS that delivers live search, SQL, and Generative AI analytics. At ChaosSearch, the speed and performance of our architecture is important to us and our customers because time to results is the difference between success and failure, and we rely on […]

Akridata accelerates processing of unstructured data with Amazon S3 Express One Zone

Deep learning processes often need to read full datasets, which are usually hundreds of gigabytes in size, before they can perform intelligent data processing. High data retrieval speed and low latency from storage are crucial for enterprises running these performance-critical workloads. Akridata, an AWS independent software vendor (ISV) partner, helps make artificial intelligence (AI)-assisted unstructured-data […]

lakeFS and Amazon S3 Express One Zone: Highly performant data version control for ML/AI

Machine learning presents a number of new challenges to data teams, calling for technology solutions that can support training and fine-tuning performance-critical workloads with high performance. Data version control is one of the facets of high-performing ML pipelines, as it allows efficient experimentation and full ML pipeline reproducibility at scale. lakeFS by Treeverse, an AWS […]

ClickHouse Cloud & Amazon S3 Express One Zone: Making a blazing fast analytical database even faster

ClickHouse is a columnar database management system (DBMS) designed for blazing-fast real-time analytics. It was built to address the needs of interactive analytical applications requiring up-to-the-second analytics. To do that, it must support real-time data ingestion at the rate of hundreds of millions of events per second and run complex analytical queries, such as filtering, […]