The network monitoring teams can now tap into Internet-of-Things, software-level network, and cloud-based services to ensure maximum uptime and optimal network performance. However, adapting to these technologies would mean defining new practices for legacy architecture integration, reengineering the monitoring workflow, and evaluating the toolkit for enhancing comprehensive and layered network management.
For many organizations, knowledge management is often considered a technology problem. This is why when they implement knowledge management, the execution is often rendered unsuccessful because the processes and the kind of articles that are created are too complicated for people to use. ITIL knowledge management is defined as the process of capturing, processing, storing, and sharing knowledge across the enterprise.
Cloud and digital transformation have made business operations more efficient than ever. However, with more connected tools, devices, and platforms, monitoring has become a major challenge for IT professionals. Here is a simple analogy – imagine, you are the captain of a ship with thousands of passengers. The entire ship’s control rests in your hands. To better understand what is going on in your ship, you have installed various tools.
The client in consideration is one of the largest engineering, procurement, and construction (EPC) companies in India. With projects covering over 14 states in the country, its portfolio of services and offerings is widely diversified. It primarily engages in three forms of businesses – civil construction, road & highway development, and manufacturing.
Imagine a scenario where your Network Monitoring team has a group of very talented, organized, and focused technicians. Close to half of them are engaged in monitoring the system almost throughout the day. They can take care of the issues and problems as soon as they arise, and you are never facing any downtime. This is an ideal case scenario, right?
Growth is generally considered to be a healthy characteristic of a business. But, if the firm cannot establish systems that can take care of that growth, it might end up digging a hole for its operations.
Data centers and cloud are undoubtedly an integral part of business continuity strategies of companies to run operations with a distributed workforce amid the lockdown successfully. The Covid-19 outbreak and the resultant work from home policies have pushed businesses across globe increase in adoption of cloud infrastructure services up by 80%. Managing the entire suite of enterprise technology is not easy for businesses that have several vendors on board.
Over the last few decades, some firms have worked hard to hire the right people and develop the right processes. However, those achievements have not translated into bottom-line growth. A more detailed examination of that matter shows that the issue lies somewhere in productivity.
The sheer scale of connected devices across physical, virtual, and distributed networks has come to scale that it has become practically impossible for most network administrators to manually keep an eye on each node. Along with the scale, the connectivity between devices within each network has also become denser.
As per research published by Hosting Advice, over 56% of employees who felt disengaged at work marked inadequate training as the key reason for it. Over 53% of employees felt that they would be able to perform better at their jobs if they received adequate training. And over 31% of respondents to the research survey stated that they had to quit their jobs less than six months after being hired. Olivia was one of those last set of employees at her first job out of graduate school.
