IT ASSETS – How To Deal With Complexity In Large-Scale Complex IT Systems

 

IT ASSETS management

IT ecosystems are extremely complex and true transparency often look like a myth rather than a realizable state. There is no way around the basic cataloguing and inventorying of all IT assets. But most organizations are still unprepared or at least under prepared for large scale complex IT projects and it leaves a negative impact on enterprise IT organizations because they have to face a deluge of efficiency, cost constraint and compliance issues every day.

 

To satisfy consumer by delivering on the top business services requires also on the top IT assets that comprise those business services. Laptops, servers, routers, databases, applications are a few examples of those variety of building bocks that comprise the corporate infrastructure. All of them are connectedand relate to each other and are in charge to supportt the people, processes and transactions that power a company’s business.

 

Having all those components in good shape can impact companies in a very positive way, they can not only benefit from more efficient administration but also from cost savings. When it comes to cybersecurity and new IT initiatives such as edge computing, a clear view of IT assets can be very helpful in decision making.

 

With digital technology creating a more connected world, the lack of insight into who, how, where, and which IT resources are used in the enterprise for certain work process can be dangerous for companies. Even IT Asset Management (ITAM) tools are often in short supply and unable to identify specific hardware and software associated with their networks. Having a track on the updates, security check and availability of all devices is very important.

 

Measure Data Centre Downtime

 

Data quality fuels company performance and quality data is the heart of an organization and as their performance goes, so go the performance of applications and the business as a whole. It must be accessible across all departments of a company, i.e. from procurement to financial management to IT Services Management (ITSM) and ITAM, including Continuous Diagnostics and Mitigation (CDM).

In order to have that functional data, companies must give a great attention at the performance of their datacentres. Downtime and slow system performance can result in significant lost revenue, lower productivity, and increased support costs if not resolved quickly.  According to Business Insider, a single minute of downtime costs a data center over $8,000.

 

Ready for Edge Computing

 

With edge computing and IoT, the bar for IT management has also moved up. Edge computing uses devices, edge gateways, and edge servers to run software locally. MarketsandMarkets estimates that spending on edge computing will reach $ 6.7 billion by 2022, with an annual growth rate of 35.4%. The main reason of this growth is:

 

         wide range of applications in different industries

         Growing load on the cloud infrastructure

         increase in the number of intelligent applications

 

Not surprisingly, from real-time data analysis and enhanced application performance to much lower operating costs and scheduled downtime, there are plenty of reasons why organizations need edge computing on its technology road map starting in 2019.

 

Edge Computing promises to drive the next wave of customer experience innovation. Therefore, services must be available even faster and more widely available when and wherever customers wish. Organizations will notice an increase in the number of edge devices and asset types. Businesses should be able to control the data descriptions of individual virtual and physical edge devices in order to obtain a realistic picture of all IT assets and their use.

 

Strategy for IT asset visibility

 

IT Asset Management is a key element in a comprehensive service management strategy. Due to an unpredictable economic climate, organizations are more focused than ever on getting the maximum value out of their IT assets, traditionally understood to be hardware and software. A good strategy for visibility over IT assets should cover the following areas:

 

 

Transparency is the basic requirement of IT security. Companies must have continuous insight and overview of which hardware and software needs to be updated and where security patches are missing. This includes proactively removing and replacing end-of-life IT resources – well before they expire.

 

    • Control IT asset costs

 

In a period when IT is continually charged to do more with less, often asset cost is the main focus. Organizations must keep an eye on whether an asset is installed, but unused (and wasted), and replace it with some other useful asset.

 

    • Simplify manufacturer audits

 

License management is the key. The transparency of IT assets in the enterprise ensures that the compliance with the use, the costs as well as the respective license agreements is completely fulfilled. On this basis, audits of software providers are also losing their horror and companies can minimize the risk of late payments or fines.

 

    • Safe decisions in procurement

 

An all-inclusive view of current IT resources sheds light on which solutions are actually needed – also for the future. So equipped, contracts and audits can be better negotiated, and the IT asset can be well planned, which prepares companies best for future requirements.

 

Managing IT resources poses the greatest threat to the unknown. While knowing what IT assets are in use and how they are configured may seem like mundane issues, it is vital to both the financial health of the IT organization and its operational performance. A poor IT asset transparency drives companies to spend too much on unused software licenses, it also creates the breeding ground for shadow IT.

 

 An asset management system is an important, foundational piece of the overall systems necessary to manage IT infrastructure. Without a good asset management system, the organization will waste time and resources managing inventory, buying unnecessary equipment and software, and maintaining license compliance for software.

With a functioning asset management system, the organization can expect to reduce the total cost of ownership for IT infrastructure and provide a solid foundation for the operational system necessary to keep the infrastructure operating efficiently.

Vertiv: #DataCenter of Industry 4.0

Data Center Trends

When it comes to deploying IT capacity at the edge, a lot of environmental factors can influence organization’s needs. Each business will vary in deployment size, environmental isolation requirements and ease of transferability to name just a few. So, with the revolution of Industry 4.0, there are many options for your edge data center investment.  As the next generation of data center will no longer be limited to central, large-scale facilities, but will seamlessly integrate the edge of networks that are becoming increasingly intelligent and mission-critical.

 

These 4.0 data centers are currently under construction and will significantly shape the IT networks of the 2020s. The emergence of this edge-based infrastructure is one of the top five data center trends identified by a global panel of experts from Vertiv, formerly Emerson Network Power, for 2018.

 

The main reason and motivation behind a new IT infrastructure are the growing volumes of data-driven by smartphone use and the #InternetOfThings in particular – so they can meet the growing demands of consumers. While companies can go many ways to accommodate this growth, most IT executives choose to bring the infrastructure they need closer to the end user – the edge of the network. Whichever approach companies choose, speed and consistent services will be critical to consumers. That infrastructure needs to be scalable to accommodate accelerating data growth and flexible to allow new ways to use real-time data analytics. 

 

In the past, Vertiv had identified trends around cloud, integrated systems, and infrastructure security. For 2018, the company expects the following five trends that will shape the data center ecosystem:

 

Development of the 4.0 Data Center

 

Generally, large data centers have been placed where energy costs are lower and space is inexpensive. To overcome speed, space, availability issues – Edge data center must be placed much closer to the users. These data center will be generally smaller but more of them in a kind of mesh network arrangement. Because whether it’s a traditional IT cabinets or 150-square-foot micro data centers, companies rely more and more on the edge of the network. 4.0 data centers will give companies the possibility to integrate edge and core holistically and harmoniously. Thus, these new data center architectures are much more than simple and distributed networks.

 

This development is made possible by innovative architectures that provide real-time capacity through scalable and cost-effective modules. These data centers will be cost-effective via the usage of optimized cooling solutions and high-density power supplies, as well as lithium-ion batteries and innovative power distribution units. In addition, these concepts integrate state-of-the-art monitoring and management technologies that allow the simultaneous operation of hundreds or even thousands of distributed IT nodes. As a result, complex structures dissolve. Latency and acquisition costs decrease and utilization is optimized. In addition, enterprises can add network-based IT capabilities when needed.

 

Cloud providers focus on colocation

 

Even though the revenue from wholesale and retail data center colocation market worldwide will reach up to 33 billion U.S dollars, with the increasing numbers of IoT devices, cloud usage is increasing so rapidly that cloud providers often cannot meet the demand for capacity. In most cases, providers focus on delivering services and other priorities, rather than building new data centers. They compensate for under capacities with offers from colocation providers. By focusing on efficiency and scalability, colocation vendors can quickly meet the increasing demand for data center capacity while further reducing costs. And the provider has the freedom to choose their colocation partners that best meet their end-user needs and enable edge computing.

 

Reconfiguration of the data centre middle class

 

With the evolution of the market and rapidly changing consumer’s needs, it is no secret that the biggest growth area in the data center market will be in the hyperscale environment – typically cloud or colocation providers – and edge computing. Traditional data center operators now have the opportunity to reorganize and configure their facilities and resources that are critical to local operations thanks to the growth of colocation and cloud resources.

Multiple data center companies will continue to consolidate their internal IT resources. They will probably use all the options for outsourcing to the cloud or to work with colocation providers and reduce their own infrastructures. Their motivation for this transformation will be quick configurations that can be implemented rapidly and are scalable at short notice. Certainly, these new facilities will be smaller, but more efficient and safer – with high availability at the same time. This matches perfectly to the extremely critical nature of the data that these companies want to protect.

 

High-density Data Center

 

High density has been a hotly challenging subject in the world of data centers for years. But with global data consumption in the zettabytes—and the subsequent demand on IT resources—it’s finally the time to start building up, not out. The data center is all about power and cooling, and high density is how you maximize the usage of those two things.

Over the past decade, data centers have made huge advancements to be able to support the high-density computing of today. Traditionally, data centers used multiple racks of low-power systems that weren’t capable of getting work done efficiently. This is about to change!

Although densities below 10 kW per rack remain the standard, 15 kW is no longer a rarity in hyperscale facilities, and some even approach 25 kW. The main driver of this transformation is the introduction and proliferation of hyper-converged computing systems. This expansion of hyper-converged computing systems is driven by products that are offering new levels of automation, tighter integration between technologies, and, in many cases, software-defined solutions based on scale-out architectures.

 

The world is reacting to edge computing

 

By bringing processing and computing capacities to the edge of the network, businesses reduce latency by highlighting processing and lightening the load on the primary network, supporting better, faster decision-making. The decision to implement an edge computing architecture is typically driven by the need for location optimization, security, and most of all, speed. Three main reasons for the transition to edge computing are the growth of IoT, the pace of technology-empowered business, and evolving user expectations. As today’s data management systems require the most immediate information to support “real-time” decisions that can have an impact of millions of dollars to the bottom line, more and more companies are shifting their computing capacity to the edge of their networks. Also, location optimization reduces data processing from minutes and hours to milliseconds and microseconds and as close to real-time as you can currently get. 

 

About Vertiv
Vertiv designs, builds and services critical infrastructure that enables vital applications for data centers, communication networks and commercial and industrial facilities. For more information, visit VertivCo.com.

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