Category: Thought Leadership

When planning a data migration you need to evaluate migration tools, determine whether you have the available bandwidth for an online migration and understand the characteristics of the source and target destination. There are situations where you may be looking to migrate data from on-premises storage or other AWS storage services to Amazon FSx for […]

There are use cases where applications demand the highest IOPS and throughput to achieve strict service level requirements. You may have seen how it’s possible to leverage the immense horizontal storage scalability of Amazon Elastic Block Store (EBS) into concentrated vertically scaled storage performance in my recent blog “SAN in the Cloud: Millions of IOPs […]

There are many reasons to choose AWS managed services for running a database in the cloud. However, there are times when a managed service may not be the right choice, and a self-managed database instance is best for your organization. Ultimately, when your organization makes that decision, selecting the right components for your self-managed database […]

Managing costs is important to the bottom line of many businesses and their ability to innovate on behalf of customers. You may often find that there is some data that you use frequently, and other data that you access less frequently, if ever. Deciding how to manage costs related to storing such unevenly accessed data […]

Planning for disaster recovery (DR) is a critical component of any IT operations practice. Applications that run on AWS benefit from the reliability that is built into the platform. However, they can still be impacted by from natural disasters, technical failures, and accidental or malicious human actions. Consequently, implementing best practices around disaster recovery is […]

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 […]