Category: AWS Lambda

Major oil and gas companies are likely to have seismic data spanning decades and consuming Petabytes (PBs) of storage. This seismic data is often stored across a variety of different storage mediums depending on operational requirements, including: Network-Attached Storage (NAS), Magnetic tapes and USB devices. This data management approach has led to seismic data duplication […]

Mainframes are used by financial institutions for critical applications, batch data processing, online transaction processing, and mixed concurrent workloads. They have non-functional requirements such as performance, security, and resource availability to process all workloads, even in development environments. However, potential resource and parallelism reduction may occur during the development of new programs and subsequent testing. […]

As CEO of 3Victors, a travel big data AI startup, who spent the better part of his career solving tricky digital problems by tuning software to squeeze maximum performance from racks of bare metal computers, I was more than a bit skeptical of cloud computing. First, let me provide a little insight into my company […]