All signs indicate that 2016 will be a year of many challenges. Disruptive technologies will be introduced, the exponential increase in computing power will continue, while businesses will demand a prompt response to quickly changing requirements. At the same time, the requirement to be highly resource-efficient will stay the same. Data Center technology will reflect this.
There are many signs to suggest that 2016 will be a year filled with challenges. Among the most significant are the number of disruptive technologies being introduced and the burgeon ing rise in computer power. This reflects a substantial need for businesses to require a prompt response to change their business requirements quickly and efficiently and the need for highly efficient resources will not change.
Due to these challenges, we can expect the following predictions that are likely to manifest in 2016:
Internet of Things will play a greater role in data centers. This will allow managers the ability to monitor performance of environmental measurements and components in real-time, leading to smoother business operations and higher time-efficiency.
Sensors measuring variables, such as humidity, electricity, and temperature, will be incorporated into the network equipment to make monitoring much more rapid and efficient. This will allow data centers to utilize greater uptime and ensure capital and operational expenditures are kept at an all time low.
Furthermore, data centers will benefit from having access to a greater number of platforms. This includes the integration of IoT integration data from a variety of sources to ensure computing facilities operate at optimum levels.
Systems that are hyperconverged will allow users to benefit from all critical IT components in one system and managed via layer of software, will become a common data center infrastructure practice among companies. The strategic directions and requirements of the business pave the way for infrastructural simplification and time efficiency across IT departments.
Hyperconvergence will become largely influenced by virtualization as SAN storage inefficiencies become well-known and the requirement of digitizing network and storage layers.
Considering how convergence is growing as a trend, the need for hyperconverged infrastructure management platforms will become inevitable. Such platforms will be critical for offering a comprehensive and integrated view of the entire IT infrastructure, one that will be highly needed to oversee and operate both its physical and virtual aspects.
IT operations will also become increasingly automated at the hardware-component layer of the entire system, due to the emergence of software-defined networks (infrastructures that are defined by software instead of hardware).
As a result, it will result in reduced operating costs and errors, and greater infrastructure agility. It will also lead to data being presented in a manner that will ensure utmost availability and responsiveness, useful for quick decision making and strategy readjustments.
More importantly, there will be a lot more emphasis on software platforms providing a comprehensive view of connectivity and infrastructure components to ensure management and provisioning efficiency is increased. If you manage all database components in real-time and ensure all are up to date, you will be able to ensure faster system recovery. This will not only be possible with virtual service problems, but also due to a physical infrastructure’s faulty components.
Enterprises are expected to build and develop IT systems that function similarly to cloud platforms of major tech industry names, such as Google, Amazon, and Facebook. An IT environment that is resilient and robust enough to meet the needs of the business as required will prove to be a substantial competitive advantage and a means of averting business risks and minimizing operating expenses.
However, they will not be able to tap into these tools and features with their existing technology and tools. To achieve the gains of large established companies, they will need to opt for IT infrastructures that can support high physical scalability, whilst being resilient enough to complement software-defined approaches. This will provide businesses the advantage of ensuring both physical and software aspects of the infrastructure conform to their business goals and strategic directions.
Data center management activities will be the standard in data center infrastructures. This is because of its use in reducing human errors and work load, as well as for speeding up the time required for solving equipment failures.
There is also expected to be a major shift in the way in which infrastructure and operations teams manage IT facilities due to the emergence of fool-proof tools, such as automatic validation IP discovery.
The new environment will allow network administrators the capacity to utilize new skills and become familiar on eliminating repetitive and mundane tasks, including provisioning storage. Enterprises will thus hire labor that have a set of skills pertaining to efficient use of the data center. This move will be a radical change, from the conventional infrastructure domain expert type of workers to ones that will have a skill set for a greater range of requirements, such as cross-technology API integrations, user experience outcomes, and the methods through which new systems can be integrated with older systems.
This will pave the way for a highly important year for the practices and management approaches pertaining to data centers, one that will be dominated with new processing requirements and virtual tools and capabilities.
Data center managers in post-2016 will be those that can effectively manage both software platforms to oversee IT operations and see greater resource availability and integration of new technologies into the existing technology to achieve higher resource utilization.
Hackers have developed capabilities that can target at particular weaknesses and various corporate services which they take advantage of and exploit. According to Juniper Research, the substantial amount of digitization of the lives of consumers and records of enterprises will lead to a rise in data cost breaches amounting to more than $2 trillion in 2019 globally. This is an increase in the cost of breaches by as much as 4 times compared to that in 2015.
Furthermore, there have also been cases in which large network and security providers had loopholes within their security systems. As such, enterprises and organizations are faced with an unprecedented security risk and need to thoroughly evaluate the capabilities of their defenses and intelligent security systems across their entire data center and cloud system to be able to prevent considerable data and financial losses.
Among the many solutions is to implement new types of cloud security technologies that are equipped with superior encryption and threat detection and elimination capabilities. Such systems will secure new traffic points between cloud ecosystems and the data center, keeping in mind that your data can be a potential target. In lieu of this, you develop a high resilient and efficient security architecture that can narrow down particular data points and be capable of integration with other tools and technologies in your data center. The result of this will be that your network will be a critical component of your security system and offer superior security monitoring and threat detection and elimination.
Greater adoption of automation and orchestration. Automation tools are expected to be the norm, considering how next-gen cloud systems are incredibly diverse. Advanced policy control and place governance are incorporated into many new automation tools. Companies can take advantage of technologies that enable cloud administrators to oversee cloud security aspects and benefit from greater visibility and system transparency.
In addition to the benefit of keeping resource utilization costs to a minimum, such types of platforms instill an exceptional amount of dynamism into automated cloud platforms in the form of multi-cloud controls, orchestration, and scaling.
The best part about all of this is that your automated cloud platforms also become proactive too. Through automation and analytics features, it allows you to forecast and visualize business requirements with much more clarity and accuracy.
Workflow, data center orchestration, business automation technologies are thus extremely beneficial in allowing enterprises to efficiently control resources and ensure user experience is optimized. Most importantly, you need to remember that developing proactive cloud platforms means that they are capable of adjust to current market trends and shifts.
Furthermore, the economies surrounding data center management and resources are also being controlled by you. Orchestration and automation also allows administrators to emphasize on enlarging the business instead of constantly dealing with resolving problems. Cloud is thus becoming synonymous with orchestration and automation technologies, and you can integrate various kinds of cloud tools along with data center points. All of these benefits makes your business substantially more agile in relations to their IT ecosystem.Back to all Posts