AWS Storage Blog
Tag: AWS Cloud Storage
Automatic network replication with AWS Elastic Disaster Recovery
When developing a disaster recovery strategy, it is important to manage replicating the network configuration from your primary to recovery site, including (but not limited to) things like your access control lists (ACLs) and internet gateways. In many cases, a configuration change in your primary site should be applied to your recovery site. Managing these […]
Implement multi-factor authentication based managed file transfer using AWS Transfer Family and AWS Secrets Manager
Highly regulated industries, such as finance, healthcare and government, need to exchange business to business files securely. Common protocols like SFTP provide a broadly-supported, standard method for moving files securely across public networks. For some customers, compliance requirements drive a higher bar for their SFTP authentication. To meet more stringent compliance requirements, aside from controlling […]
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 […]
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 […]
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, […]
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 […]
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 […]