![](https://zifornd.com/storage/2022/03/help-desk-and-user-support-featured-image.jpg)
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
![](https://zifornd.com/storage/2022/01/iot-edge-computing.jpg)
Security, authentication, bandwidth, latency, data formats, and automation implications of robotics, automation, sensors, and instruments in the scientific lab
![](https://zifornd.com/storage/2022/03/go-live-support-featured-image.jpg)
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.
![](https://zifornd.com/storage/2022/01/devops.jpg)
Effective systems integration, networking, deployment, upgrade and maintenance in public/private cloud using "code" to deploy is now commonplace in scientific informatics environments.
![](https://zifornd.com/storage/2022/01/cloud-to-cloud-integrations.jpg)
Cloud to Cloud and Cloud to On-Prem system integrations, security, performance and ongoing support are foundational to modern informatics architectures.
![](https://zifornd.com/storage/2022/01/cloud-migration-strategies.jpg)
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.
![](https://zifornd.com/storage/2022/01/managed-services.jpg)
"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.
![Cloud Architecture & Support - digital transformation services](https://zifornd.com/storage/2022/01/digital-transformation-cloud.jpg)
Architecting, development and managed services on the major providers AWS, AZURE, GOOGLE, on-prem systems integrations, DevOPs and TechOps.