ASYST provides advanced IT solutions for transportation, travel and related industries. Asyst systems have been proven to give clients and users a key edge over their industry competitors, by setting benchmarks in every area of the transportation and travel business and cultivating cutting-edge products and applications.
For years, Asyst had maintained its servers and network but felt increasingly constrained by its infrastructure. ASYST needs a solution to increase flexibility speed and is reliable without issues. To minimize service disruption, they hope to make the on-premise migration to the cloud as efficient as possible.
With careful consideration carrying out-migration of nearly 100 workloads on more than 100 containers—InfoFabrica, with GCP automated migration tools, approaches the solution workloads. During the migration cutover, engineers run a highly automated machine conversion and orchestration process, allowing even the most complex applications and databases to run natively on GCP without issues.
ASYST’s implementation and migration process were done efficiently, reduced from a few months to just a few weeks without changes, and with minimal downtime. This allows ASYST to minimize error-prone manual processes by automatically converting the source servers from physical, virtual, or cloud infrastructure to run natively on GCP.
GCP allows us to migrate our most sophisticated and enterprise scale apps to the cloud with seamless, fast, and efficient, thanks to Infofabrica who guide us with their excellent support.
ASYST finally decided to deploy on Google Cloud and chose InfoFabrica as their exclusive partner to help integrate their systems to Google Cloud for a more reliable and scalable next-gen cloud environment.
ASYST is currently using Google Cloud products such as next-gen services of the compute engines, edge analytical capability of BigQuery, and also the seamless modernized application fleet run on different Kubernetes cluster. With the help of IT consulting firm InfoFabrica, ASYST went through a smooth proof-of-concept process and ran a successful pilot test of the workload to be run on cloud, leading the company to decide on Google Cloud, ultimately chosen because of its ability to fulfill requirements directly with quantifiable and workable solutions.