Leveraging best practices such as ITIL and "follow the sun" support structures, extensive technology partner network, level 1, 2 & 3 support, early adopter user training, roll out hyper care, BAU support and knowledge base creation

Security, authentication, bandwidth, latency, data formats, and automation implications of robotics, automation, sensors, and instruments in the scientific lab

Go Live planning and execution, end-user & super user training, user support, drop-in clinics, hyper care, knowledge base creation, Level 1, 2 & 3 support for any scale rollouts, small, large, global, multisite etc.

Effective systems integration, networking, deployment, upgrade and maintenance in public/private cloud using "code" to deploy is now commonplace in scientific informatics environments.

Cloud to Cloud and Cloud to On-Prem system integrations, security, performance and ongoing support are foundational to modern informatics architectures.

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.

"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.

Architecting, development and managed services on the major providers AWS, AZURE, GOOGLE, on-prem systems integrations, DevOPs and TechOps.