AWS Storage Blog
Category: HAQM EC2
Establish private connectivity for AWS Elastic Disaster Recovery using AWS Direct Connect
As the size of an organization’s disaster recovery (DR) implementation grows, we often see the role of the network grow in importance. The relationship between DR and the network should not come as a surprise, as we expect network performance and the ability to replicate data between the source environment and the DR site to […]
How Teradata improved system availability using HAQM EBS Multi-Attach NVMe reservations
Teradata, an AWS Partner, is a leading cloud data analytics provider with two high performance data processing and analytics solutions: VantageCloud Enterprise and VantageCloud Lake. These Teradata solutions are backed by a Massively Parallel Processing (MPP) database and a shared-nothing architecture where each node operates independently with dedicated resources such as CPU, memory, and storage. […]
Back up your Microsoft 365 estate with Veeam and HAQM S3
Users of productivity software and collaboration services such as Microsoft 365 want to protect their data and often tell us that data durability is one of their highest priorities. With the recent increases in reported cyber incidents, increasing data resilience against threats such as ransomware and other events that may compromise data durability is key. […]
Application-consistent backup for Windows application on HAQM EC2 with AWS Backup
Many users rely on HAQM Elastic Compute Cloud (HAQM EC2) instances and HAQM Elastic Block Store (HAQM EBS) volumes to run their business critical Microsoft Windows-based workloads on AWS. These critical applications often span across multiple EBS volumes attached to EC2 instances. To make sure of the integrity and recovery of such vital workloads, users […]
Faster restores on Veeam using HAQM S3 Glacier Flexible Retrieval and S3 Batch Operations
Storing multiple copies of data is often an enterprise data protection best practice and a critical part of backup and recovery solutions. The ability to quickly recover or restore data – often from backup copies in cost-effective archive storage – is critical to minimizing potential downtime or operational disruptions in disaster recovery (DR) scenarios such […]
Managing storage on Windows servers with HAQM FSx for NetApp ONTAP
Users who choose to migrate workloads to the cloud prefer to do so without modifying application code and without being required to learn new methods for managing data. Ideally they are seeking a cloud service with like-for-like functionality, and management similar to their on-premises infrastructure. The goal is to accelerate migration and deployment in the […]
Migrating Oracle Cloud Infrastructure Object Storage to HAQM S3 using AWS DataSync
Users face challenges in their digital transformation journey involving the migration of data across various platforms, on-premises file systems, and other cloud services. When using other cloud providers, scenarios arise where the seamless transfer of data becomes essential. Whether executing a one-time data transfer or integrating it into a scheduled workflow, minimizing business downtime is […]
Marqeta supercharges MySQL workloads using HAQM EBS io2 Block Express
Given the ubiquity of digital payments, cutting-edge fintech solutions hinge on seamless and highly available real-time transaction processing. Invariably, this needs the support of a performant, reliable, and secure datastore. And after considering technical requirements, fintech companies know that regulatory and compliance auditing never takes a back seat. Enterprise AWS customer Marqeta needed all of […]
Automating application-consistent HAQM EBS Snapshots for SAP HANA databases
Customers host their SAP HANA environments on AWS to run their business-critical processes, such as financial planning, data analytics, and supply chain management. Reliably backing up data in SAP HANA is paramount for users to restore the database in the event of disruptions and urgent business needs. To reliably back up SAP HANA, SAP documentation […]
How Visual Layer builds high quality datasets on HAQM S3
Companies from different industries use data to help their Artificial Intelligence (AI) and Machine Learning (ML) systems make intelligent decisions. For ML systems to work well, it is crucial to make sure that the massive datasets used for training ML models are of the highest quality, minimizing noise that can contribute to less-than-optimal performance. Processing […]