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Gone are the days of data centers that house little more than a few servers. Today’s data centers serve a variety of functions, incorporating hybrid-cloud deployments and the latest edge computing techniques. As more and more organizations implement the use of Internet of Things (IoT) devices in their network architecture, data centers are scrambling to keep up with the latest trends in the technology sector.

The number of IoT devices is expected to exceed 20 billion by 2020, and all of them will be generating data of some kind. Even if these devices process data locally via edge computing, there will still be some information that needs to be sent back to a central server for storage or analytics processing. Data centers will therefore continue to play an important role in the network architecture that makes IoT possible, but their form and function may change depending upon the specific needs of their clients.

How Much Data?

So exactly how much data do experts expect IoT devices to generate? Industry estimates vary, but Cisco anticipates that the number will exceed 800 zettabytes per year by the end of 2021 and will grow exponentially, not linearly, in the years beyond. If that doesn’t sound imposing enough, consider that a single zettabyte is equal to approximately one trillion gigabytes.

Much of the data generated by IoT devices can be considered unstructured and must be mined by powerful analytics tools to produce valuable business insights. Data centers will play a key role in this process. While IoT devices are effective at processing information quickly to make immediate decisions, they lack the power and scope to make meaningful use of every byte of data they gather. Companies will need to leverage data centers for both storage and the kind of big data analysis they require for making strategic decisions.

How Many Data Centers?

With IoT devices generating so much information, data center infrastructure has been growing fast to keep pace with demand. One industry analyst projected that 400 million new servers will be needed by 2020 to support the demands of IoT which are expected to consume a staggering 20% of the world’s power by 2025.

Fortunately, organizations are taking steps to satisfy these massive storage needs. The US was already a world leader in data center usage, with almost three million data centers, or about one for every 100 citizens. It’s also home to 44% of the world’s 390+ “hyper-scale” data centers, the most famous of which, the NSA’s Utah Data Center (code-named “Bumblehive”), is said to have the capacity to gather and store a yottabyte (1000 zettabytes) – WOW!

With edge computing becoming more common, large data centers are not the only solution to data storage needs. Smaller, modular data centers that can be located closer to end users are being deployed in a number of ways and with each comes the opportunity to identify resource allocation within to maximize for the future.

Correlata’s CorreAssess Platform offers the world’s only horizonal and vertical glimpse into better and more efficient data center planning as you look to 2020. Better predictability contributes to better reliability and having access to a data center’s usage needs in real-time, increases the overall value.



The data center industry is continuously challenged with staying up-to-date with the ever-changing technological advancements, as well as the growing customer demands. It’s getting more and more difficult for data center engineers and IT managers to ensure higher uptimes, handle costs, and deploy fast, all at the same time—but it’s not impossible either.

Correlata has identified the top three challenges that IT Managers, and Data Center Engineers face while implementing and managing data centers.

Challenge #1: Real-time Monitoring and Reporting

Data centers have a lot going on inside them, so unexpected failures are inevitable. There are applications, connecting cables, network connectivity, cooling systems, power distribution, storage units, and much more running all at once. Constant monitoring and reporting different metrics is a must for data center operators and managers. Having the ability to run a full data center diagnostic, like Correlata’s CorreAssess One Time Assessment, will better help you analyze your data centers’ resources, so you’re capable of taking well-informed decisions and immediate actions accordingly.

Challenge #2: Uptime and Performance Maintenance

Measuring the performance and ensuring uptime of data centers is the major concern for data center managers and operators. This also includes maintaining power and cooling accuracy and ensuring the energy efficiency of the overall structure. Manually calculating the metrics is of no or a very little help in most cases. You must be able to have visibility outside of the siloed approach to make it quick, simple, and easy to manage the uptime and other performance metrics.

Challenge #3: Staff Productivity Management

Tracking, analyzing, and reporting performances of all the data center infrastructure is a daunting task. It may take a lot of your staff’s time and efforts, yet you can’t ensure accuracy when monitoring is carried out manually. Once Correlata’s CorreAssess OTA has been conducted, you will be able to better automate these operations and free a lot of your staff’s time. You can also automate workflow approvals and assign technicians for particular tasks, along with the automation of other manual tasks.

With the developing technology, applications, data, and devices, data centers are subjected to continuously evolve with it. Now that you know a few of the challenges you may face as a data center manager and how to face them, let Correlata’s CorreAssess platform aid the process and make your life easier.



The anticipation of 5G wireless technology has increased every year since the release of 4G. The demand for streaming services, artificial intelligence and other bandwidth-heavy applications has gone up significantly, which is driving demand for faster speeds and less latency—which all point to the data center.

5G technology could bring a possible latency, new technologies such as augmented reality, autonomous driving cars, and the explosion of IoT will benefit from the higher speeds and lower latency of 5G technology.

However, what’s the cost of this improvement in technology? From an end user’s experience, thought is rarely given to the infrastructure and the work that’s done behind the scenes, or on the back-end of their endpoint’s connection to the Internet. From a data center perspective, how will 5G affect the day in and day out operations and planning that go into managing and maintaining a data center?

While the thought of increased speeds, extremely low latency and IoT expansion is exciting, it’s important to take a holistic approach to how 5G technology will impact the data center, and those that support it.

The Data Center Must Evolve to “Many-To-One”

4G technology is geared toward a “one-to-one” methodology. When user’s endpoint device is connected to a tower, it will transition to the next nearest tower as their location changes. This provides the user with the experience they would expect from 4G connections.

5G connectivity will introduce the idea of “many-to-one” methodology as it relates to wireless connectivity. The user’s endpoint device will need to communicate with many towers or antennas at the same time in order to deliver higher speeds and lower latency. This will require more towers and antennas, which will require more data centers.

The construction of an edge data center will put the user’s data much closer and will process it locally to provide the expected 5G high speed/low latency experience. This process circumvents the need for the user’s data to traverse the cloud and back. This will help for use cases like streaming services.

The way in which we build these new data centers and retrofit the old ones will also need to adapt to meet the demands of 5G. For example, the “Three Musketeers” of the data center — power, space and cooling — will need to be revamped. 5G networks could demand up to 100x more resources than the typical 4G network.

Overall, more resources mean more equipment, power and space requirements. In order to meet the specifications of a 5G ready data center, environmental impact needs to be analyzed. The increase in resources and requirements to build and/or retrofit a data center for 5G readiness could have a negative impact on emissions and carbon footprint.

While most data centers do their due diligence in creating an environmentally friendly building, architects today will need to rely heavily on environmental efficiency when building the data center of tomorrow.

Correlata CorreAssess is leading the charge to help businesses create efficient data centers while identifying how to deploy green initiatives. 

Look for Part Two: How 5G Will Change the Data Centers on April 11, 2019



While technologies like cloud computing, machine learning, AI, and big data appear to get all the attention these days, it’s data centers that make it all possible.

Whether you’re a consumer or a business, data centers support and enable everything that you do on a moment-to-moment basis, whether it’s talking to colleagues, streaming a video, buying gifts, or catching the train, technology has interwoven itself into every aspect of our daily lives, and none of it would be possible without the data center concept.

Even in this brave new world where almost every organization is exploring and evaluating the potential of the cloud, the data center is still essential – after all, all your application workloads, test environments and corporate files need to live somewhere; cloud computing means you don’t have to maintain your own data center, but it doesn’t negate the need for one altogether.

In fact, the advent of widespread cloud means that businesses need to be more concerned than ever about the state of the data center they’re using, whether it’s theirs or their cloud provider’s and fully assess its resources. Organizations using their own on-premise infrastructure need to ensure that their hardware is capable of keeping up with their cloud-hosted capabilities, while those in the cloud should be using the increased freedom that entails to demand the very best from their cloud partners.

As any IT veteran knows, it’s not about how many racks you have, but what’s inside them – and it comes down to more than core counts and clock speeds. Faster components and higher capacities are all well and good, but the real heart of data center transformation is ensuring that all the constituent elements of your data center are working together in harmony and only Correlata’s CorreAssess can evaluate this.

The pace of modern business is increasing by the day, and in a mobile-focused, software-driven economy, split-second advantages can mean the difference between failure and success. To keep up with this rapid pace of change, organizations are increasingly turning to the powerful combination of data analytics and machine learning; using advanced AI to rapidly sort through the vast corpuses of information they generate on a daily basis and generate actionable business insights.

This strategy can be a real advantage for business agility, but the downside is that it can put a huge strain on an under-equipped data center. 

Data-driven analytics aren’t the only way that our use of data centers are evolving, though.

One of the more interesting recent developments in enterprise IT has been the concept of ‘edge computing’ – the concept of de-centralized data centers. This involves moving computational power away from the bulk of your IT system and putting it at the edge of your network, closer to where your data is collected.

This allows organizations to reduce the amount of time and bandwidth they spend on moving data between their data center and their endpoints. It’s commonly used in remote locations like oil rigs, for example, where internet connections can be expensive and difficult to maintain.

There has also been an increased focus on customer experience with outward-facing applications, and on the direct impact of poor customer experience on corporate reputation. This outward focus is causing many organizations to rethink placement of certain applications based on network latency, customer population clusters and geopolitical limitations (for example, the EU’s GDPR or regulatory restrictions).”

So what does the future of the data center look like?

Despite the growing appeal of cloud computing, the data center itself isn’t going away any time soon. In fact, it’s evolving, becoming more powerful and versatile than ever, as organizations demand the ability to run real-time analytics workloads and advanced machine learning algorithms.

Antiquity may have shown that the cloud may be King, but the data center is most definitely the power behind the throne.