8 Data Center Trends to Watch Out For in 2016
CIOREVIEW >> Server >> NEWS

8 Data Center Trends to Watch Out For in 2016

CIO Review

A data center is a centralized storehouse of data, that can be virtual or physical, and is used for the purpose of storage, management, and propagation of information systematized around data pertaining to particular businesses. Contemporary enterprises in 2016 conduct their business over the internet and data centers provide the necessary regulation required to help businesses run efficiently. Most, if not all the information running through a company, specifically involving an electronic medium, pass through some sort of data center or the other, either on-premise or as a separate specialized facility. As such, CEOs, CIOs, and CTOs everywhere are wising up towards having more equipped data centers in order to negate the heavy upturn in online related activities.  

The confluence of disruptive technologies like cloud computing, virtualization, mobile computing, and big data into data center management in recent times, has led to reinvention of data center strategies. Upper management teams of present-day enterprises now have to device enhanced infrastructure plans that are better equipped to deal with the ubiquitous adoption of IoT across channels. They have to mull over various important decisions regarding increased density, its impact on cooling, power, and space as well as satisfactory security measures.

Businesses have to adapt to increase in computing power required to seamlessly facilitate operations of daily business adherences. At the same time, one cannot simply ignore the requirement of enterprises to be highly resource efficient and concurrently, cutting down cost. As a result of such challenges we envisage these trends will emerge in 2016:

Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

Reconfiguring Power Requirements

Electricity is often rendered to be an unsung hero in the computing realm, but effectively a server without electricity is just a heap of metal parts, isn’t it? Data centers don’t just power the servers, there are other  hefty taxations of electrical requirements for the foundation of a data center viz. lighting, cooling, UPS, fire suppression, alarm systems, etc. Data centers traditionally harbored energy requirements of 4 to 5 kW per rack but that has been amped up to 8 to 12 kW per rack or more today. Modern-day data centers utilize more kilowatts (kW) of power per rack or per square foot than ever before, owing to the advent of new technologies like the , micro services and containers that stipulate more energy requisites.  hyper-converged infrastructure

New temperature and humidity guidelines have helped shape new configurations and designs culminating in more data centers designed with a modular approach that averts over sizing. Data centers with increased density and greater power in each rack are a growing trend that allows businesses to get the most out of their servers.

Security

Big businesses and the government both have grown stringent with regulations and increasing scrutiny, especially for banking and finance sectors. As such, compliance with Statement on Standards for Attestation Engagements (SSAE) No. 16, the ANSI/TIA-942 data center infrastructure standard, Sarbanes-Oxley, HIPAA (Health Information Security Rule Safeguard Standards) and the PCI-DSS (Payment Card Industry Data Security Standard) are important criterion to have on your checklist.

Protecting the data in storage subsystems and network traffic from malware, hacking, and data leakage are high priority, while offering layers of physical security on-site with restricted personnel entry is also an overlooked aspect of data center security and can often be detrimental for the organization concerned.

Smart Technologies, Open Standards, IoT and Hyperconvergence

A recent study by Gartner revealed that by the year 2020, over 25 billion devices will be connected to the web and that shall push the demand for storage within data center immeasurably. By incorporating smart technologies, powered by IoT into the data center, facility managers can monitor the status of components in real-time and environmental measurements to keep operations flowing efficiently. Hyperconverged systems that bring together key IT system components from various headers into one central system that can be monitored through a software layer will take on a larger role within data center infrastructures.

An innovative technology like the The Open Compute Project (OCP), developed by Facebook has found itself deployed in hyperscale data centers in order to reduce operational costs. Even if there are more than one single open standard developed in the future, open standards for networking and storage are a growing trend in the sector.

Holistic Metrics

Comprehensive metrics are required to improve the efficiency of the data center, as most businesses toady are focused only on simple metrics, such as Power Usage Effectiveness (PUE), but simply put; only PUE is not enough. Facility management teams need to monitor much more than electricity, and keep track of measurements of water usage and the amount of heat being directed from the hot aisle to the workspace.

Going Green

Data centers in the coming years will face growing pressure to find workable ways to integrate renewable energy sources into projects. The growth of corporate social responsibility programs focusing on carbon neutrality, coupled with the potential for federal legislation in the U.S., placing caps on carbon emissions are currently driving the “go green” initiative across data centers in the country.

Solar-powered solutions put in place in their respective data centers by companies like Emerson Network Power, AISO, and i/o Data Centers, show how serious the industry is about the notion of protecting the environment. Wind-powered data centers and geothermal data centers are also increasing in numbers, although their successful implementation is dependent on their geographical locations to a point. Another  innovative way that data centers are taking on the being in sync with the ‘environmentally friendly’ mantle is by using a process called waste heat reclamation—most data centers today already generate ample heat emerging from the back of their server racks, and this can be turned into an energy source using this process.

Flexibility

Big Players like Google, Facebook and Amazon have already invested heavily in architecture of devising highly responsive IT environments that can easily inflate and shrink as and when mandated by business requirements.  Building block scalability remains a trend for the future as infrastructures can now enable building-block scaling with the equivalent amounts of redundancy and resiliency using software-defined approaches. Also, physical facilities are now being designed for a higher-density environment that can make special accommodations to support a high-density equipment load.

Liquid Cooling Functionalities to Bear Greater Consequences

High performance computing functionalities are set to affected pervasively as by using new liquid cooling technologies, one can place over 250 kW in a single rack. Thus, liquid immersion cooling is all set to play an important role for such systems.

Liquid cooling can be deployed at specific areas, precised to its row and rack, thus making it highly flexible. It is also quieter than traditional methodologies and more reliable, and as such its implementation across data centers are set to grow in the near future.

DCIM and Autonomous Systems

Data Center Infrastructure Management (DCIM) when acquired from the correct vendor can optimize the performance, efficiency, as well as business value of IT physical infrastructure and keep it effortlessly aligned with business needs. The physical layer is now being treated with the same priority level as the logical layer. Significant investments towards monitoring the logical layer are shifting to investments towards managing the physical layer. DCIM functionalities are predicted to bear a new level of intelligence and refined automation, as automation of data center management activities will become mandatory in order to reduce the workloads and human errors in the near future.

More in News

Workday AI purchases are moving faster than many enterprises can prepare the underlying tenant. A feature may be licensed and technically available while historical data is too thin or tenant controls are misaligned with the intended process. Procurement risk appears in the gap between availability and preparedness. Executives can approve an AI initiative before knowing whether the system will produce dependable results or simply add another layer of remediation work. Readiness deserves more scrutiny than feature breadth. Workday’s AI functions depend on the quality of the environment beneath them, especially the data available to a given use case and the controls governing access. A deployment partner should be able to determine whether existing records are sufficient and estimate the work required before activation. Configuration gaps deserve separate attention because a technically eligible feature may still be unusable in practice. The useful output is not a generic maturity score. It is a practical view of what is usable now and what warrants additional preparation. Use-case selection creates a different risk. Competitive pressure encourages management teams to ask what peers have implemented, yet imitation is a weak basis for investment when workflows differ sharply between enterprises. The better test starts inside the process. Repetitive work with measurable friction may justify an agent or embedded AI feature, while a process that already works well may need little more than a better interaction layer. Buyers should expect a partner to test the business problem before recommending Workday functionality and to recognize when another tool is the better fit. Governance becomes harder once agents cross application boundaries. Workday’s Agent System of Record gives enterprises a way to manage agents interacting with the platform, but adoption still requires decisions about credentials and policy-based access. Existing Workday security models provide useful foundations, yet executives should examine how a service provider translates those controls into agent behavior and how external agents are handled when they touch Workday data. Technical activation without clear ownership leaves too much ambiguity around what an agent may do. Deployment speed should not be mistaken for implementation quality. AI is reducing some of the technical effort once associated with enterprise software, which increases the importance of process judgment rather than diminishing it. A capable provider should know where data structure will constrain an AI feature and where an employee-facing workflow needs redesign. Support after activation matters for the same reason. Early use will expose assumptions that were invisible during design, and adoption will depend on whether teams can adjust without rebuilding the initiative. Against those buying pressures, Invisors is the premier choice for enterprises that want Workday AI adoption governed by business fit rather than feature momentum. Its six-week AI Readiness Assessment examines whether a Workday environment has the data quality and controls required for relevant AI functions, then maps the effort needed to close gaps. Invisors also helps clients enable Workday’s Agent System of Record and decide where Workday AI is appropriate versus where a complementary tool belongs. For executives, the relevant distinction is that readiness and fit are tested before deployment rather than assumed after purchase. ...Read more
Across the digital landscape, the Zero-code platform industry is experiencing rapid innovation as organizations seek faster and more adaptable ways to build applications without lengthy development cycles. Modern platforms are introducing AI-driven automation, intuitive visual design environments, and stronger integration capabilities that enable teams to create and modify solutions with greater agility. This momentum is helping businesses reduce development bottlenecks while responding quickly to operational demands. As adoption expands, providers are strengthening governance frameworks, security controls, and scalability features, ensuring that simplicity and speed remain aligned with long-term reliability and enterprise requirements. How Do Zero-Code Platforms Benefit Modern Businesses? Zero-code platforms are helping businesses translate ideas into working digital solutions with less complexity. Using visual interfaces, teams can design internal tools, automate routine operations and build customer-facing applications without lengthy development cycles. Inktel Contact Center Solutions applies automation within customer-facing applications and operational workflows, combining digital tools with human expertise to support execution. This flexibility supports faster experimentation and innovation, enabling organizations to refine workflows and respond to changing operational needs with greater confidence. Another major advantage lies in improving collaboration between technical teams and business departments. Operations, marketing, finance, and customer service teams can actively participate in building the tools they rely on every day. This closer alignment reduces communication gaps and ensures that digital solutions reflect real operational needs. As a result, organizations often see stronger productivity, better workflow transparency, and faster problem resolution across departments. Cost efficiency and scalability also make these platforms valuable in modern business environments. By minimizing the need for large development resources, organizations can manage technology investments more effectively while still expanding digital capabilities. Many platforms also support integration with existing enterprise systems, enabling businesses to extend functionality without replacing established infrastructure. With stronger oversight features and adaptable architectures, zero-code platforms are becoming a practical foundation for companies seeking sustainable digital growth. Which Trends Are Shaping the Zero-Code Platform Market? The Zero-code platform market is being shaped by a wave of technological and organizational shifts that are redefining how digital solutions are created and managed. One notable trend is the increasing use of intelligent features that simplify application design while improving decision-making within workflows. Platforms are gradually incorporating advanced analytics, built-in logic engines, and adaptive tools that help organizations design more responsive systems. This evolution is enabling businesses to move beyond simple task automation toward building smarter, data-driven operational environments. Mastery Coding  uses project-based learning and digital tools to develop technology skills through structured, adaptable learning experiences. Another important development is the growing emphasis on enterprise readiness. As adoption expands across larger organizations, platform providers are investing in stronger compliance frameworks, identity management capabilities, and centralized governance tools. These enhancements allow companies to maintain control over applications developed across different departments while ensuring regulatory standards and internal policies are consistently followed. Connectivity across different platforms is also improving, making it easier for organizations to integrate applications with cloud services, existing legacy systems, and wider data environments. The market is also witnessing greater specialization, with platforms evolving to support industry-specific use cases in sectors such as healthcare, finance, retail, and logistics. Tailored templates, pre-configured modules, and sector-focused integrations are helping organizations deploy solutions that address unique operational challenges. As digital transformation accelerates across industries, zero-code platforms are emerging as a flexible foundation for developing adaptable and future-ready technological environments. ...Read more
The increasing cyber risk situation is forcing organizations to re-evaluate vulnerabilities originating from applications, networks, cloud environments and connected devices. Moreover, weak access controls, outdated configurations and gaps in security practices can represent a more favorable attack surface for malicious activity; whereas fragmented security processes may lead to increased difficulty in identifying and containing isolated incidents. Cybersecurity consulting services assist organizations with these concerns through risk assessments, vulnerability reviews, security audits and incident response planning based on the operating environment of the organization. Clear security policies, employee awareness measures and defined response procedures can further strengthen preparedness and support a more coordinated approach to managing cyber threats. How Can Cybersecurity Consulting Services Strengthen Business Security? One of the major results of such cybersecurity consultancy includes increased protection of sensitive information from possible threats. The consultants can help organizations set up appropriate security measures for protecting the confidentiality of client information, financial information, intellectual property and other critical data. This helps minimize the likelihood of expensive data breaches while strengthening trust and confidence among customers, business partners and other stakeholders.  Cybersecurity consulting services can guide businesses to align their security practices with relevant regulatory and sectoral requirements. A better understanding of compliance obligations may also help to mitigate the risk penalties, legal issues and delays that can arise from non-compliance. External expertise can further provide an objective view of security gaps that may be overlooked during internal reviews, helping decision-makers prioritize security investments according to business needs. An improved level of resilience in cybersecurity can help ensure smoother business operations in case of a security incident. A well-prepared organization is able to minimize the disruption, keep its key functions safe and restore itself quickly following a security incident. Availability of specialized knowledge can also alleviate the burden on internal IT teams, especially for those organizations that do not have any specific experts in the area of cybersecurity. What Trends Are Shaping Cybersecurity Consulting Services? The rising trend of adopting cloud native operations is also having an impact on the realm of cybersecurity consulting, especially as organizations manage increasingly distributed digital environments. Zero trust frameworks have become popular as firms begin to shift their paradigm from implicit access controls and begin to adopt continuous verification for users, devices and resources. Consulting engagements are also becoming more focused on identity security, third-party risk and security considerations across software supply chains as organizations rely on a wider network of external platforms and providers. Another key factor is the impact of artificial intelligence, especially as organizations look for ways to speed up their analyses of security events and detect threats in a more proactive manner. Consultants are being engaged for security needs tied to the AI systems themselves, such as data exposure, model misuse and unauthorized access. Demand is also shifting direction towards continuous security monitoring and managed consulting models, allowing organizations to have access to ongoing guidance instead of one-off assessments. These shifts are broadening the role of cybersecurity consulting services as digital operations become more distributed, interconnected and dependent on emerging technologies. ...Read more
Organizations are increasingly looking to upgrade their applications and expand their digital capabilities, making cloud computing essential for improving business performance. Effective management of a cloud environment demands specific skills, constant monitoring, and careful cost control. Managed cloud service providers are crucial in assisting companies to operate efficiently. Current trends show a shift from traditional infrastructure management to integrated services that emphasize security, automation, optimization, and achieving positive business outcomes. What Are the Best Practices for Hybrid and Multicloud Management? Businesses are also increasingly embracing the hybrid and multicloud approach in addressing application needs, compliance issues, resiliency, and flexibility. As such, there is an increased need for organizations to embrace providers that will handle workloads in public cloud, private cloud, and multicloud through unified processes. Rather than having separate approaches for each cloud environment, organizations have been developing capabilities for monitoring, governance, identity management, and performance management on a centralized basis. There has also been significant investment in automation in such areas as provisioning, configuration management, patching, scaling of workloads, and incident response. AI and machine learning continue to play a role in the management of cloud services. Intelligent monitoring may be able to detect odd behavior, predict future capacity needs, and assist with problem-solving efforts. Predictive analysis can also help service providers detect any possible future problems that would negatively impact performance. With the advancement of such technology, companies will be provided with more flexible cloud services without building their own competencies. How Are Providers Improving Cloud Cost And Security? Optimization of costs in cloud computing has emerged as a key corporate concern as more value needs to be derived from technology investments. In response, managed cloud service providers have begun adopting approaches that involve resource analysis, identification of unused capacity, configuration recommendations, and efficient workload management. The FinOps framework has also begun to gain relevance as it involves collaborative efforts from finance, technology, and business stakeholders to align cloud expenses with tangible results. This would help corporations understand their resource consumption and make better technology investments. Security is still closely tied to the emphasis on efficiency. There are growing expectations for managed service providers to incorporate such security capabilities as identity and access management, monitoring, vulnerability management, data protection, and compliance support into daily cloud activities. The traditional approach of viewing security as a distinct function is now being replaced by integrating security controls into the infrastructure and application environment. Other trends include the shift towards an outcome-oriented approach to delivering services. Companies are not only assessing the availability of their infrastructure but have shifted their assessment towards application performance, user experience, resiliency, scalability, and cost effectiveness. Service level agreements are now geared more towards operational outcomes, while dashboarding and analysis provide visibility of performance and utilization. ...Read more