Category: Learning Levels

Genomics data is expanding at a rate exceeding Moore’s law according to the National Human Genome Research Institute. As more sequencing data is produced and researchers move from genotyping to whole genome sequencing, the amount of data produced is outpacing on-premises capacity. Organizations need cloud solutions that help manage data movement, storage, and analysis. The […]

The demand for data storage has increased with the advent of a fast-paced data environment – creating, sharing, and replicating data at a large scale. Most organizations are looking for the optimal way to store their data cost-effectively, giving them everything they need from their data but without breaking the bank. Cloud storage provides flexible […]

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 […]

Data is one of the most valuable assets that a business owns. Protecting that data from disasters, such as system or infrastructure failures, is an important part of business continuity planning. Companies have diverse IT infrastructures in which data can be presented from multiple sources. This includes on-premises network-attached storage devices via different file-sharing protocols, […]

Enterprises set up their AWS environment preconfigured in-line with organizational security policies, compliance, and detective and preventive controls codified right from the beginning. Furthermore, enterprises want to access cloud-native services in a manner similar to how they have been consuming services in the past, from within their own secured networking environment according to their security […]

Analytical workloads such as batch processing, high performance computing, or machine learning inference often have high IOPS and low latency requirements but operate at irregular intervals on subsets of large datasets. Typically, data is manually copied between storage tiers in preparation of processing, which can be cumbersome and error-prone. Given this, IT teams want to […]

Synchronizing a fleet of Oracle database environments can become a major operational burden for organizations of all sizes. In this blog post, I explain how you can reduce operational complexity, improve agility, and reduce costs by using Amazon FSx for OpenZFS to clone your Oracle Database data across multiple environments in seconds. IT operations teams […]

Organizations are often required to store files, images, and other digital assets in a repository. In many cases, the source of these files are partners or individuals who are not connected to internal systems and requires corporate authentication in order to upload the files. Customers traditionally use servers to handle file uploads, which can use […]

Prior to the announcement of new resource assignment capabilities in AWS Backup, customers could assign resources to a backup plan in two ways. They could either select a specific resource using its resource ID or define a specific selection tag, which helps the service identify resources to be backed up by the backup plan. While […]

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, […]