Category: Thought Leadership

Analyzing time-series data such as tick-by-tick quotes and trades is crucial to our financial services customers, specifically quantitative analysts, algorithm engineers, risk managers, and others handling various trading functions. From running global ticker plants to algorithm development, to risk management, these functions are critical to day-to-day business operations. With the increase in trading volume and […]

Becoming a data-driven organization is a top priority for the majority of executives. According to an IDC data culture survey from 2021, 83% of CEOs want their organizations to be more data-driven, and 87% of CxOs say that giving their organizations the ability to make better strategic, tactical and operational decisions is their top priority. […]

Many organizations use databases to support their most mission-critical applications. Having a comprehensive strategy to protect these databases is the underpinning to meeting business service level agreements (SLAs). An optimal strategy includes using both backups and replication to protect databases in the event of a natural disaster, human error, or cyber threat. Customers can use […]

From a storage volume perspective, latency is the time elapsed between sending an I/O request to a volume and receiving an acknowledgement from the volume that the I/O read or write is complete. Latency is a key measurement for applications which are sensitive to the round trip time (RTT) of I/O operation. An example of […]

The rapid maturation of cloud tools for high-performance workloads in the past several years has made it possible for household names like T-Mobile, Toyota, and Rivian to move their high-performance analytics and AI/ML environments to the cloud. These are hugely data-intensive workflows that many companies five years ago believed would never be able to be […]

Does your application handle data that is uploaded by hundreds of thousands of end users? Is that same underlying data then shared across the same magnitude of users? Being able to scan data for malware before it’s returned to an application helps keep sensitive data secure, provides protection regardless of when the data was initially […]

In distributed architectures, there is often a need to preserve application logs, and for AWS customers preservation is often done via an Amazon S3 bucket. The logs may contain information on runtime transactions, error/failure states, or application metrics and statistics. These logs are later used in business intelligence to provide useful insights and generate dashboards, […]

When backing up applications, AWS Backup and Restore Partners seek methods that minimize complexity and reduce costs for their customers. Most backup applications protect Amazon Elastic Block Store (EBS) volumes using EBS snapshots as a part of Amazon EC2 protection feature. For backups with long term retention, backup applications offer additional streaming backup capabilities that […]

Customers globally, especially in regulated industries, require centralized protection and demonstrable compliance for their application data. Centralized data protection and enhanced visibility across backup operations can reduce the risks of costly disasters and accidents, improve business continuity, and simplify the auditing process. With AWS Backup for Amazon S3 now being generally available, you can centralize […]

Accessing network attached storage (NAS) over long distances can introduce latency that can potentially impact business processes, slow down engineering jobs, and increase costs. Often only a small percent of the dataset needs to be accessed at any given time, allowing caching data locally to solve these challenges without replicating the full dataset. This is […]