Taking an application-centric approach to monitoring EUC technologies is essential to ensuring success and optimal DEX (Digital Employee Experience) when delivering desktops and apps via VDI / DaaS or from the Cloud. The EUC (End User Computing) community in recent years has increasingly focused on user experience and DEX (Digital Employee Experience) as key measures of success. Any EUC service ultimately needs to ensure users are satisfied and can work productively.

We are delighted to be able to share that eG Innovations has become one of a very small number of partners to have achieved the AWS “Digital Workplace Competency” award following a lengthy and rigorous technical audit process. The designation differentiates eG Innovations, alongside EUC vendors such as Citrix and VMware, as having a solution that meets AWS’s own standards for enterprise software.

Today, I’ll cover the benefits of monitoring and observability in Nutanix AHV environments and Hyper Converged Infrastructures (HCI) and how observability can help IT teams run cost-efficient, performant Nutanix deployments. Modern enterprises need infrastructures designed for resilience, cost-effectiveness, and application performance. Organizations are adopting hybrid multi-cloud strategies and looking to simplify and optimize on-premises and data center operations.

We are delighted to share that eG Innovations has become one of a very small number of partners to have achieved AWS’s “Digital Workplace Competency” award following a lengthy and rigorous technical audit process. This designation differentiates eG Innovations from other AWS EUC monitoring vendors as having a solution that meets AWS’s own standards for enterprise software.

Administrators and IT management are increasingly leveraging simple quantifiable KPI indicators such as “Performance Ratings” to gain rapid overviews and track key outcomes. Modern IT architectures are designed and built to scale and be resilient. Systems are now usually built to handle failover and auto-scale up and down to handle varying demand and workloads with very different properties and needs.