Why Do I Need #DCIM ?

by Micahel Potts

There are a number of benefits in implementing a Data Center Infrastructure System (DCIM) solution.  To illustrate this point, consider the primary components of data center management.

In the Design phase, DCIM provides key information in designing the proper infrastructure.  Power, cooling and network data at the rack level help to determine the optimum placement of new servers.  Without this information, data center managers have to rely on guesswork to make key decisions on how much equipment can be placed into a rack.  Too little equipment strands valuable data center resources (space, power and cooling).  Too much equipment increases the risk of shutdown due to exceeding the available resources.

In the Operations phase, DCIM can help to enforce standard processes for operating the data center.  These consistent, repeatable processes reduce operator errors which can account for as much as 80% of system outages.

In the Monitoring phase, DCIM provides operational data, including environmental data (temperature, umidity, air flow), power data (at the device, rack, zone and data center level), and cooling data.  In addition, DCIM may also provide IT data such as server resources (CPU, memory, disk, network).  This data can be used to alert management when thresholds are exceeded, reducing the mean time to repair and increasing availability.

In the Predictive Analysis phase, DCIM analyzes the key performance indicators from the monitoring phase as key input into the planning phase. Capacity planning decisions are made based during this phase.  Tracking the usage of key resources over time, for example, can provide valuable input to the decision on when to purchase new power or cooling equipment.

In the Planning phase, DCIM can be used to analyze “what if” scenarios such as server refreshes, impact of virtualization, and equipment moves, adds and changes. If you could summarize DCIM in one word, it would be information.  Every facet of data center management revolves around having complete and accurate information.

DCIM provides the following benefits:

•  Access to accurate, actionable data about the current state and future needs of the data center

•  Standard procedures for equipment changes

•  Single source of truth for asset management

•  Better predictability for space, power and cooling capacity means increased time to plan

•  Enhanced understanding of the present state of the power and cooling infrastructure and environment increases the overall availability of the data center

•  Reduced operating cost from energy usage effectiveness and efficiency

In his report, Datacenter Infrastructure Management Software: Monitoring, Managing and Optimizing the Datacenter, Andy Lawrence summed up the impact of DCIM by saying “We believe it is difficult to achieve the more advanced levels of datacenter maturity, or of datacenter effectiveness generally, without extensive use of DCIM software.”  He went on to add that “The three main drivers of nvestment in DCIM software are economics (mainly through energy-related savings), improved availability, and mproved manageability and flexibility.”

One of the primary benefits of DCIM is the ability to answer questions such as the following:

1. Where is my data center asset located?

2. Where is the best place to place a new server?

3. Do I have sufficient space, power, cooling and network connectivity to provide my needs for the next months?  Next year?  Next five years?

4. An event occurred in the data center — what happened, what services are impacted, where should the technicians go to resolve the issue?

5. Do I have underutilized resources in my data center?

6. Will I have enough power or cooling under fault or maintenance conditions?

Without the information provided by DCIM, the questions become much more difficult to answer.

Cold Aisle Containment System Performance Simulation

By: Michael Potts
April 25th, 2012

In an attempt to reduce inlet temperatures, BayCare Health System in Tampa Florida installed a cold aisle containment system (CACS) in a section of their data center. Results were varied, with temperatures improving in some areas, but actually increasing in others. In order to understand these results, airflow management solutions provider Eaton simulated the data center’s performance using Future Facilities’ 6SigmaDC computational fluid dynamics (CFD). The simulation’s results matched those of the physical data center. With the information at hand, it was determined that CFD software could be used to diagnose the data centers cooling problems.

Future Facilities Website: http://www.futurefacilities.com/

This paper from Eaton details the results of their CFD diagnosis of the BayCare facility, describing the process of analysis in depth, as well as offering solutions to the cooling infrastructure. First, the process of cold aisle containment installation is outlined, offering details from both the simulation and study of the physical data center. Next, it explains Eaton’s performance simulation and measurement of the facility’s function after installation, mimicking the center’s airflow, device models and locations, as well as temperature. Lastly, a framework of the full diagnoses is presented, offering conclusions to the unexpected temperature increases.

Learn the full process of data center diagnosis in this detailed simulation. Click here to download this paper from Eaton on the diagnosis of the incorrectly performing cold aisle containment system at BayCare Health System.

How data center managers can be prepared for the 10 most common surprises

1. Those high-density predictions finally are coming true: After rapid growth early in the century, projections of double-digit rack densities have been slow to come to fruition. Average densities hovered between 6.0 and 7.4 kW per rack from 2006 to 2009, but the most recent Data Center Users’ Group (DCUG) survey predicted average rack densities will reach 12.0 kW within three years. That puts a premium on adequate UPS capacity and power distribution as well as cooling to handle the corresponding heat output. 2. Data center managers will replace servers three times before they replace UPS or cooling systems: Server refreshes happen approximately every three years. Cooling and UPS systems are expected to last much longer—sometimes decades. That means the infrastructure organizations invest in today must be able to support—or, more accurately, scale to support—servers that may be two, three or even four generations removed from today’s models. What does that mean for today’s data center manager? It makes it imperative that today’s infrastructure technologies have the ability to scale to support future needs. Modular solutions can scale to meet both short- and long-term requirements. 3. Downtime is expensive: Everyone understands downtime is bad, but the actual costs associated with an unplanned outage are stunning. According to a Ponemon Institute study, an outage can cost an organization an average of about $5,000 per minute. That’s $300,000 in just an hour. The same study indicates the most common causes of downtime are UPS battery failure and exceeding UPS capacity. Avoid those problems by investing in the right UPS—adequately sized to support the load—and proactively monitoring and maintaining batteries. 4. Water and the data center do not mix – but we keep trying: The first part of this probably isn’t a surprise. Sensitive IT equipment does not respond well to water. However, the aforementioned Ponemon study indicates 35 percent of all unplanned outages are a result of some type of water incursion. These aren’t just leaky valves; in fact, many water-related outages are the result of a spilled coffee or diet soda. The fix: Check those valves, but more importantly, check the drinks at the door. 5. New servers use more power than old servers: Sever consolidation and virtualization can shrink server inventory by huge numbers, but that doesn’t exactly equate to huge energy savings. New virtualized servers, especially powerful blade servers, can consume four or five times as much energy as those from the preceding generation (although they usually do it more efficiently). The relatively modest savings at the end of that consolidation project may come as a surprise. There is no fix for this, but prepare for it by making sure the infrastructure is adequate to support the power and cooling needs of these new servers. 6. Monitoring is a mess: IT managers have more visibility into their data centers than ever before, but accessing and making sense of the data that comes with that visibility can be a daunting task. According to a survey of data center professionals, data center managers use, on average, at least four different software platforms to manage their physical infrastructure. Forty-one percent of those surveyed say they produce three or more reports for their supervisors every month, and 34 percent say it takes three hours or more to prepare those reports. The solution? Move toward a single monitoring and management platform. Today’s DCIM solutions can consolidate that information and proactively manage the infrastructure to improve energy and operational efficiency and even availability. 7. The IT guy is in charge of the building’s HVAC system: The gap between IT and Facilities is shrinking, and the lion’s share of the responsibility for both pieces is falling on the IT professionals. Traditionally, IT and data center managers have had to work through Facilities when they need more power or cooling to support increasing IT needs. That process is being streamlined, thanks in large part to those aforementioned DCIM solutions that increase visibility and control over all aspects of a building’s infrastructure. Forward-thinking data center managers are developing a DCIM strategy to help them understand this expansion of their roles and responsibilities. 8. That patchwork data center needs to be a quilt: In the past, data center managers freely mixed and matched components from various vendors because those systems worked together only tangentially. That is changing. The advent of increasingly intelligent, dynamic infrastructure technologies and monitoring and management systems has increased the amount of actionable data across the data center, delivering real-time modeling capabilities that enable significant operational efficiencies. IT and infrastructure systems still can work independently, but to truly leverage the full extent of their capabilities, integration is imperative. 9. Data center on demand is a reality: The days of lengthy design, order and deployment delays are over. Today there are modular, integrated, rapidly deployable data center solutions for any space. Integrated, virtually plug-and-play solutions that include rack, server and power and cooling can be installed easily in a closet or conference room. On the larger end, containerized data centers can be used to quickly establish a network or to add capacity to an existing data center. The solution to most problems is a phone call away. 10. IT loads vary – a lot: Many industries see extreme peaks and valleys in their network usage. Financial institutions, for example, may see heavy use during traditional business hours and virtually nothing overnight. Holiday shopping and tax seasons also can create unusual spikes in IT activity. Businesses depending on their IT systems during these times need to have the capacity to handle those peaks, but often can operate inefficiently during the valleys. A scalable infrastructure with intelligent controls can adjust to those highs and lows to ensure efficient operation. http://www.datacenterworld.com/preparing-for-10-common-data-center-surprise