Posted on February 12, 2019 by Jessica Ciesla
Monitoring a data center shouldn't require continuous onsite visits or numerous web interfaces that slow down response times and complicate data analysis. In fact, effectively monitoring a data center is a task that can and should be optimized by leveraging best in class environment sensors and DCIM software solutions. Fortunately for data centers across the globe, Raritan has developed award winning SmartSensors that provide the insights that data managers need to understand real time environment data and analyze performance trends.
What Is A SmartSensor?
At its core, SmartSensor is Raritan's environmental monitoring platform. It has been strategically engineered for easy deployment, accurate data results, and heightened levels of insight into a data center's operational levels. Available as plug-and-play options for EMX rack controllers, PX Intelligent PDUs, PX inline meters, and branch circuit monitors, the SmartSensors alleviate the need for a separate controller. In fact, the information gathered is instantaneously sent to a DCIM software solution, so that data managers can gain vital insights into real time environmental data via a single web interface.
Through the SmartSensors, data center managers can react more effectively to any environmental hazards that are threatening the life or performance of mission critical IT assets. The ability to react more quickly and with greater knowledge of the potential threat, is one of the reasons that SmartSensor has achieved a best in class status.
Posted on February 7, 2019 by Jessica Ciesla
It's no secret that machine learning has infiltrated everything from the technology sector to the consumer market. From smartphone assistants to Google's Artificial Intelligence (AI) advancements, machine learning continues to help tackle the most challenging problems in the world. When it comes to data centers, the use of machine learning has led to incredible advances in efficient and reduced energy consumption.
Google's AI Leads To A Breakthrough In Energy Consumption
Google's DeepMind AI program has been used in their data centers to reduce the amount of energy used on a daily basis. The implications of this type of machine learning are potentially industry-changing. Take for example the amount of energy that is used to cool a data center. From cooling the servers to maintaining the optimal temperatures in a rapidly warming world, data centers require an astronomical level of energy to cool. Fortunately, AI programs, like DeepMind, are designed to not only reduce the amount of energy needed to cool a data center, but to also provide actionable insights into a global issue: climate changes.
Posted on January 30, 2019 by Jessica Ciesla
Content originally sources from IDC.
As discussed in Part 1 of this series, traditional data centers must prepare for future changes and challenges within the industry. These changes include the impacts of emerging technologies, higher costs, and environmental concerns. As a direct response to these changes, data centers will need to respond to three influential factors as they seek to increase operational efficiencies in the years to come.
Influential Factor Recap
In the first part of this series, we discussed the three key factors that will influence the future of data centers in the coming years. These three factors include:
Posted on January 23, 2019 by Jessica Ciesla
Data center managers need to leverage the right tools if they want to successfully monitor mission critical IT devices. However, in an effort to reduce costs, far too often data center managers are tempted into taking unnecessary risks that not only threaten business continuity but put the entire infrastructure at risk. Fortunately, through best practice approaches, these risks can be mitigated and the optimal levels of environmental monitoring can be achieved.
Posted on January 17, 2019 by Jessica Ciesla
Content originally sourced from IDC.
Traditional data centers must prepare for future changes to the industry. In fact, it's no longer a matter of "if" but "when" these changes will occur. As the amount of data that is consumed each day increases, so too will data centers need to increase their operational efficiencies as they respond to challenges associated with emerging technologies, environmental concerns, and higher costs.