Trending Benefits of IT Infrastructure in End-user Service Sector

Kunal has over two decades of experience in IT spectrum that includes from training to managing datacenter, to business development to product management, bid management, solution selling, and many more.

In recent times, Enterprises have started automating the IT Infrastructure support activities to increase their end-user productivity and minimize IT costs by reducing technical resources.
The pandemic's Work from Home policy has widened the support gap between users and the IT Support team. Users struggle with daily assistance, adherence to procedures, asset health, and security needs. Users occasionally require IT assistance in resolving problems; however, self-help automation infused with AI can assist end-users in such daily regular tasks. An organization's productivity depends on the output of its end users. Businesses are embracing automation to maintain IT infrastructure and enhance user experience, and automated IT operations support is offering business users and IT support teams a fresh viewpoint. The way IT supports business users has changed and will continue to change due to automation. Analysis is done on the system data that are gathered from end-user devices. The following stage is to create insights utilising an AI layer at the device level. These start up self-healing processes, ideas for self-service, chatbot assistance, and an IT staff to-do list.

The end-user services sector covers every thing from managing infrastructure and business applications to dealing with soft support concerns pertaining to IT assets, starting with the user's need to register a service ticket

How is end-user technology evolving and what are the areas where we can effectively implement End-User Support Automation?
The end-user estate is constantly buzzing with problems and support requirements. The only option to deal with the inorganic growth of the support requirement is through automation. The end-user services sector covers everything from managing infrastructure and business applications to dealing with soft support concerns pertaining to IT assets, starting with the user's need to register a service ticket. A conversational virtual assistant can be helpful in capturing end-user issues, finding up the appropriate solution from the self-help or self-heal solutions repository, and sharing it with the end user.

It can also gather feedback on the solution's efficacy and create a ticket in the ITSM tool. By lowering the MTTR, this gives users and organisations access to more productive time. Proactive solutions record the behaviour and health of the network, apps, and assets, alerting the IT Operations team to potential problems that the user(s) may experience. These tools also enable the IT Operations team to remotely fix the problem with or without user assistance. These solutions enable the execution of solutions across various assets with a single click.

Elaborate on how end-user computing is powering productivity in the present and shaping the future of work.
In comparison to earlier times, end-user computer assets are far more reliable today. Another aspect contributing to increased productivity is the faster operating systems and applications, but the collaborative tools are what drive productivity the most. The SaaS-based environment which has facilitated application utilisation across endpoints, mobile devices, and tablets where end users now have the freedom to work from any location and are always accessible.

With the IT environment becoming more consumerized, service providers are expected to be more dependable, safe, and accessible. Creating a clear and concrete strategy that facilitates workplace transformation so that employees may successfully do work through any device, anytime, anywhere, is what the future is all about. To improve productivity and speed up response times from the IT Operations team, organisations need to understand and align to the dynamic personas of the millennial generation, who currently make up 70% of the workforce and have high levels of digital dexterity.

Kindly tell us about the key pitfalls of data centre network automation.
The Network Infrastructure is the backbone of any environment that caters to the needs of legacy systems to the newly acquired Cloud infrastructure and SaaS applications and it requires being available 24x7 for users and customers. Availability and Complexity at the DC network is the key conundrum. Since the applications specify compute, storage network, and speed requirements that must be followed, DC network automation is challenging. Despite the fact that DCs are centralised, the network extends from the DC to the endpoint; both are complex and layered. The infrastructure at DC, including networks, need to be hyper scalable for the business needs. This is also a hazard in creating dynamic network automation. Future technologies which are virtual, software driven, automatable, and simply adjustable can now be adopted, which will soon make it simple to automate DC networks.

Despite years of predictions about applications and data migrating to the public cloud, data centres remain the indispensable core of any digital infrastructure. Hence, how do you see the Future of Data Center Network Automation?
In this world of digitalization, Data Rules and the Cloud infrastructure is also a physically deployed infrastructure in some corner of the world. Network is the binding factor be it Data Center or Cloud. Network automation is inevitable. The only hurdle will be the accepting the change. The multi-domain physical and virtual infrastructure can now be configured using repositories of configuration definitions, deployment architectures in a standard building-block structure that are connected using well-defined interfaces, or links using Ansible and/or Python thanks to the development of infrastructure as a Code. Combining IaaS and CI/CD, network automation for DC will not only be practical but also easy to use, provide a test environment for network change testing prior to change deployment, and track and verify changes. Anomalies can be found by effective monitoring, which can then activate mechanisms for resolution and alerts.