Five steps to maximise your data centre performance in 2019

Five steps to maximise your data centre performance in 2019

EkkoSense, the UK-based data centre M&E capacity planning and simulation software specialist, has identified five data centre optimisation trends that it believes will make a real difference for organisations in 2019. 

According to EkkoSense’s chief technology officer Dr. Stu Redshaw, “At EkkoSense we believe there are multiple innovations that are ready to generate real advantages for data centre operators next year – particularly given the fact that even the best run data centres still have considerable cooling and thermal issues.”

“With cooling now representing around 30% of a data centre’s operating costs, it’s more important than ever for IT teams to focus on monitoring, managing and maximising their data centre performance as effectively as possible.”

The five key data centre optimisation trends identified by EkkoSense for 2019 are:

Availability of DCIM for the rest of us

Effective data centre infrastructure management is a key requirement, so why do most traditional DCIM suite solutions seem to make it so hard? 2019 will see an increased focus on more accessible approaches that are simpler to use and that directly address the requirement to have all the right cooling, power and space strategies in place.

So, if you’re uncomfortable with over-complex DCIM or consultancy-led CFD approaches, you really don’t have to go down the DCIM route when there are equally effective SaaS-powered solutions available that can now give you all the control you need to monitor, manage and maximise your data centres.

Greater focus on Edge integration

Maximising your data centre performance isn’t truly achievable until you’ve successfully integrated all your operations – including all your different ‘edge’ micro and modular data centre activities.

All too often advanced M&E Capacity Planning and Simulation capabilities have remained the preserve of the largest data centre halls and facilities. There’s no excuse for this to remain the case in 2019, particularly as features such as SaaS access, wireless sensing and mobile network access let you apply the same best practice optimisation standards to all your DC operations.

Fully-sensed data centres become a reality

It’s only when data rooms are carefully mapped with all the appropriate data fields that operations teams can really start to gain a real-time understanding of their data centre performance.

To do this properly we estimate that more than 1,000 sensors are required for the typical data centre, enabling the measurement of a range of previously unknown factors including energy usage, heat outputs and airflow (above and below floors).

Until recently this used to be a problem due to the market cost of sensors, however the introduction of low-cost IoT-enabled wireless devices has changed the cost dynamic making new levels of sensing achievable.

Beyond subjective data centre performance optimisation judgements

While data centre subject matter experts are able to build up a mental picture of the dynamic behaviour of any cooling system over time, the critical nature of today’s data centre operations means that cooling is just too important an issue to leave to the subjective judgement of expensive consultants.

Now, however, having access to increasingly granular rack-level data provides operators with exactly the sort of data platform that’s needed for true software-enabled real-time decision-making and scenario planning. 

Learning from other sectors to secure new insights into infrastructure management

Some of the challenges we’re facing in the data centre and other built environments can be better addressed if we’re smart about using innovations from other sectors.

At EkkoSense, for example, our powerful 3D data centre visualisation, immersive VR/AR engine and room builder capabilities draw directly on the latest gaming technologies.

We’re also learning from the geospatial data sector to help our customers populate their advanced data centre models by using advanced LiDAR-enabled spatial mapping equipment.