In this first of 2 articles, we discuss data centre management, specifically remote monitoring, looking into the Edge model and remote dark sites.
Data centres are designed, built and operated for one purpose alone, and that is to reliably and securely host the Compute, Storage and Network resources providing the digital services upon which we are all now so dependent in our daily lives.
This high level of service is often delivered by sites with multiple levels of equipment redundancy, a very comprehensive preventative maintenance plan and dedicated data centre engineers based on site in shifts 24×7.
The high (possibly unreasonable), expectations around uptime / availability cannot automatically apply to smaller, remote dark sites which are the standard Edge model. As Edge deployment gathers pace it is important to recognise that these sites are typically remote and unmanned.
We therefore need to consider new approaches in data centre management through providing support for these sites – allowing us to deliver the levels of reliability and availability that customers now expect from their digital services. This can be achieved if all applications and data hosted within a site have multi-site resilience such as site failover or genuine Synchronous Replication, however this is not the case in all Edge sites. This therefore raises a challenge. How do we maintain the continued availability and expected level of reliability of Edge sites when they are remote without staff on site?
This consideration becomes even more important when there are not only no permanent staff onsite but also all site-based activities are being outsourced to a 3rd party.
The inevitable response to this to this leads us directly to the requirement for more effective remote monitoring tools and intelligent management systems which can provide the information detail and accuracy to achieve the levels of reliability and availability that all customers demand.
The increasing move towards distributed, digital infrastructures and hybrid environments incorporating Edge has been one of the most significant shifts in the data centre management sector recently. This complex estate can only be properly managed with access to accurate and reliable information to manage all sites, especially remote sites.
This requires the use of more effective remote monitoring tools and intelligent management systems incorporating advanced features such as 3D simulations, knowledge-based algorithms, trending and prediction of potential problems or impending capacity constraints. All using Machine Learning and Analytics to gather vital data, interpret and accurately display the resulting information.
Genuine ROI also remains a hugely important factor. These systems cannot be more expensive to buy, install and operate that the savings or benefits that they offer. Historically this has been the case but is increasingly no longer true in the case of the more recently developed lightweight solutions. Intelligent systems with significant predictive capability and automation built in as standard offering genuine insight and useful resolutions to issues detected are now available and affordable.
In a world where IT systems are becoming more distributed, Edge deployment is increasing and IoT is making its mark, data centre operators should be taking advantage of the data they are capable of collecting by taking a data-centric approach to managing their sites, both local and remote.
Facilities and IT managers need to work more closely together, using shared data sets with common management and monitoring tools from a number of vendors who also need to align and integrate their offerings, sharing data to better accommodate distributed management needs.
Aligning IT, Facilities, and other business stakeholders using effective remote monitoring and management tools can also produce a competitive advantage and allows the transparency and information necessary to be able to properly manage hybrid architectures and solutions. Increasingly these will include both public and private cloud deployments, legacy infrastructure and systems, as well as remote unmanned Edge installations.