Architecting, development and managed services on the major providers AWS, AZURE, GOOGLE, on-prem systems integrations, DevOPs and TechOps.
On-premise infrastructure to a cloud infrastructure requires planning, iterative migration, new skills development around TechOps and DevOps, and dedicated managed services to be successful.
Cloud to Cloud and Cloud to On-Prem system integrations, security, performance and ongoing support are foundational to modern informatics architectures.
Effective systems integration, networking, deployment, upgrade and maintenance in public/private cloud using "code" to deploy is now commonplace in scientific informatics environments.
Security, authentication, bandwidth, latency, data formats, and automation implications of robotics, automation, sensors, and instruments in the scientific lab
"Always on", end-user support, proven scale, quality, processes and knowledge of scientific applications have a measurable impact on end-user efficiency, satisfaction and application downtime.