Just a quick blog to let you know our new whitepaper “How to Get Full-Stack Visibility for Your Java Applications” is now available, download it here: How to Get Full-Stack Visibility for Your Java Applications | White Paper (eginnovations.com).

A thin client is a simplified device that relies on a separate server (usually located remotely or in the cloud) to run programs and complete user tasks. It connects to the server through a remote network connection with very little computing happening on an individual user’s device. Because most of the computation occurs and data is stored on the server, thin clients are regarded as a secure efficient option.

Many healthcare providers are modernizing their healthcare application and infrastructure monitoring strategies. Of course, there is never a magic silver bullet and so we publish detailed case studies, with the agreement of some of our customers, for other healthcare IT administrators to gain insights into the factors that drive choices and to allow them to see if there are methodologies or tools they may find useful.

Today I will cover monitoring and troubleshooting AVD (Azure Virtual Desktop) connection issues and problems. Microsoft Azure Virtual Desktop (AVD) is a powerful cloud-based service that enables organizations to deploy and manage virtual desktops and applications. It provides users with a seamless remote desktop experience, allowing them to access their resources from anywhere. However, like any technology, AVD can encounter connection failures, causing frustration and disruption for users.

Digital Employee Experience (DEX) and the end user experience is growing in importance. IT teams must ensure that users are satisfied and productive. Many organizations are either moving to hybrid, remote or work-from-home set ups or consolidating end user support teams to support multiple branch offices – this means IT teams are responsible for supporting remote end users if the applications and services are slow or unresponsive.

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.