Managing the observability, resilience and complexity of a large IT environment is a real challenge. Centralized supervision can help achieve this.
Special in every way, 2020 has undoubtedly been a disruptive year for the enterprise IT infrastructure market, with an accelerated transformation of models. The adoption of hybrid cloud and the general trend to modernize infrastructures are driving very dynamic growth.
Ever more extensive and complex, large IT environments consist of thousands of devices, systems and applications connected to multiple different sites, making it essential for large companies to have visibility and control of their hybrid or hybrid infrastructures. traditional.
Successfully managing these large IT environments requires gathering information on the performance, availability, and usage of their constituent parts. With the increasing pace of software and hardware changes, testing, deployments and monitoring, IT teams must find a balance between many goals, constraints and trade-offs.
Regardless of the size of the environment, the basic principles of supervision remain the same. But larger networks come with additional challenges due to their increasing complexity:
1. Multiple supervision tools
Large environments typically consist of equipment and systems from many different vendors, most with their own monitoring tools. So it is not uncommon for a large enterprise to have 10-15 monitoring tools for different purposes, such as monitoring storage, network performance, applications, databases, various devices, etc. This situation wastes time and creates data silos that can lead to human error.
2. Distributed networks
In large companies, equipment and infrastructure are often spread over multiple geographic locations. Depending on how these networks are managed, they can be isolated, semi-independent networks or they can be linked together in a large connected network. Regardless of the architecture, the challenge is: should we monitor each “sub” network separately, and how do you get an overview of the health of the entire infrastructure?
3. Supervision beyond IT
Specialized IT environments have their own requirements: healthcare or automotive industries, production shops and many more, each have their own protocols, types of equipment, systems and challenges. And while in the past these elements (Operational Technologies ‘OT’ for the industrial sector or medical equipment for the healthcare sector) could be completely separated from the traditional IT infrastructure, the recent digital transformation has resulted in more interlocking between these domains. The consequence is that more and more equipment that does not fall under traditional IT must also be supervised.
4. Teams and specialists
In addition to full visibility for centralized management, it is also necessary to have individual views for certain areas. This is the case, for example, if one specific team is in charge of databases and another is focused on network traffic. It requires role and rights management functionality, individual cards and dashboards, and alert management to ensure the right person receives an alert on time and has access to the exact information they need. to solve the problem.
5. Get the big picture
With a wide variety of equipment, protocols, monitoring tools, and infrastructure spread across different sites, it is very difficult to get an overview of absolutely all of the traditional IT in the business. Add to that specialized IT such as medical IT or industrial IT, you probably have a lot of dashboards and reports in a multitude of places. In addition, the supervision of many devices, applications and systems generates an enormous amount of data. Since it is easy to get lost in this information, you have to find a way to consolidate this data into a big picture.
Meeting the challenge of supervising large companies
In a large organization, having multiple methods to oversee all elements of the IT environment is inevitable. The challenge for these large companies is to manage to supervise tens of thousands of elements in real time and to ensure their good functioning. The result is faster response times, improved IT processes, and satisfied employees and customers. Ultimately, this leads to better performance through a high level of observability, intelligence and automation.
The most obvious solution is to set up centralized monitoring of the IT infrastructure so that you can collect data from many disparate sources and thus prevent IT teams from being drowned in a huge flood of information. Creating visibility across the entire tech stack means empowering teams to work smarter, not harder, while ensuring business goals are met.
It is this centralization on a single monitoring platform that will allow IT teams to be instantly informed when problems arise in their IT infrastructure and to take appropriate and immediate measures to mitigate the risks. Viewing the entire infrastructure through a single, integrated dashboard provides a clear view of the entire system and eliminates blind spots.
By giving themselves the means to create this complete visibility on all technological components, large companies can build a culture of observability on their infrastructures, networks, virtual environments, storage, applications, cloud and hardware. Acquiring this real-time observability will reduce problem resolution time and greatly improve the end-user experience.