4 Ways Data and Analytics Help Optimize Your Data Center for Today's Apps
September 27, 2016

Tim Conley

Share this

Remember the days when you went to the bookstore, wandered the aisles, paged through a few books and then made your selection? Or when you used to fly cross-country for a meeting with business associates in another state so you could share information face-to-face?

Today, you likely visit fewer bookstores, and you may have curtailed your business travel. If you want something to read, you download it on your eReader. If you need to meet with someone hundreds of miles away, you might use Skype, WebEx or another online meeting application to meet virtually.

The Internet, mobile and today's apps have fundamentally changed the way we live our personal lives and conduct business. Today, people have come to expect instant gratification and an unprecedented level of convenience. They want what they want now, and it should be at their fingertips.

As businesses respond to customers' and internal stakeholders' rising demands, information technology departments are on the forefront, shaping their company's future. Given that 90% of IT decision makers who responded to a survey by Red Hat Mobile expect to increase their mobile app development in 2016, IT organizations are facing tremendous challenges.

How can you be responsive to user demands and support the apps they require?

The first step is to optimize your data center. Data center monitoring that provides analytics about your entire IT infrastructure, whether it's on premise, in the cloud or a hybrid environment, is the foundation for this process.

It's difficult, however, to use such data efficiently if you have a patchwork of monitoring solutions. For instance, looking at servers, storage, SAN and applications separately is not helpful because they are all interdependent. Instead, you need one cloud-based monitoring tool with an enterprise dashboard that gives you an at-a-glance big picture of your entire infrastructure. It should also provide predictive analytics and enable you to drill down to unravel any issues. With these capabilities, you should be able to do the following:

1. Get Utilization "Just Right"

Goldilocks was not happy until the porridge, the chair, and the bed were "just right." Likewise, IT leaders cannot be satisfied until the utilization of their assets is "just right." Under-utilization may feel comfortable because it ensures performance for end users. However, it wastes IT resources. On the other hand, over-utilization puts the user experience at risk due to potential slowdowns and outages. Using data to identify under- and over-utilization issues can help you to address them.

2. Squeeze the Most Out of Tight IT Budgets

If you're like many IT leaders, you're likely dealing with a stagnant or declining budget. Within that, you're expected to achieve more than ever before.

You can use your infrastructure-wide data to review patterns in capacity and performance, gaining insights into how you can best accommodate peak times. Also, it helps with server consolidation projects. Instead of assuming you are maxing out the usage of your current servers, for example, you can know your utilization levels and make intelligent decisions based on facts. Other budget-saving projects that depend on enterprise-wide data include the elimination of unused virtual machines (VMs), improving forecasts for servers and storage, and asset management.

3. Shore up Security

One of today's nightmares is that a security breach could disrupt operations. More and more business units, such as marketing and sales, are using public cloud-based applications to meet their needs. They often do so outside the guidance of IT. If this phenomenon exists within your company, commonly known as "shadow IT," it has the potential to open the door to hackers. Cloud-based data and analytics with encryption and authentication can help you determine applications and data that may be at risk.

4. Ace the Agility Test

With the increasing demand for apps, it's challenging to deliver them on time. But data and analytics can help you to provide storage and server capacity rapidly to support their needs. You may, for example, be able to use under-utilized assets to accommodate new apps and associated data. However, you can only do this if you can identify them easily and quickly.

In the app economy, there's a lot on the line for IT organizations. They must be proactive in optimizing their data centers to meet consumer and internal user demands. To do so, they should take advantage of data center monitoring tools that provide the data and analytics they need to make intelligent, rapid decisions about their IT infrastructure.

Tim Conley is Co-Founder and Principal of Galileo.

Share this

The Latest

May 22, 2024

As IT practitioners, we often find ourselves fighting fires rather than proactively getting ahead ... Many spend countless hours managing several tools that give them different, fractured views of their own work — which isn't an effective use of time. Balancing daily technical tasks with long-term company goals requires a three-step approach. I'll share these steps and tips for others to do the same ...

May 21, 2024

IT service outages are more than a minor inconvenience. They can cost businesses millions while simultaneously leading to customer dissatisfaction and reputational damage. Moreover, the constant pressure of dealing with fire drills and escalations day and night can take a heavy toll on ITOps teams, leading to increased stress, human error, and burnout ...

May 20, 2024

Amid economic disruption, fintech competition, and other headwinds in recent years, banks have had to quickly adjust to the demands of the market. This adaptation is often reliant on having the right technology infrastructure in place ...

May 17, 2024

In MEAN TIME TO INSIGHT Episode 6, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network automation ...

May 16, 2024

In the ever-evolving landscape of software development and infrastructure management, observability stands as a crucial pillar. Among its fundamental components lies log collection ... However, traditional methods of log collection have faced challenges, especially in high-volume and dynamic environments. Enter eBPF, a groundbreaking technology ...

May 15, 2024

Businesses are dazzled by the promise of generative AI, as it touts the capability to increase productivity and efficiency, cut costs, and provide competitive advantages. With more and more generative AI options available today, businesses are now investigating how to convert the AI promise into profit. One way businesses are looking to do this is by using AI to improve personalized customer engagement ...

May 14, 2024

In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape ... At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs ...

May 13, 2024

Government agencies are transforming to improve the digital experience for employees and citizens, allowing them to achieve key goals, including unleashing staff productivity, recruiting and retaining talent in the public sector, and delivering on the mission, according to the Global Digital Employee Experience (DEX) Survey from Riverbed ...

May 09, 2024

App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...

May 08, 2024

Fundamentally, investments in digital transformation — often an amorphous budget category for enterprises — have not yielded their anticipated productivity and value ... In the wake of the tsunami of money thrown at digital transformation, most businesses don't actually know what technology they've acquired, or the extent of it, and how it's being used, which is directly tied to how people do their jobs. Now, AI transformation represents the biggest change management challenge organizations will face in the next one to two years ...