To understand the service demands faced by these types of installations, it should be noted that there are currently nearly 20,000 million devices connected to the Internet, which is expected to increase to 100,000 million in 2025. Yes, apart from mobile phones, we consider the rise of the IoT and the growth of artificial intelligence. It is certainly plausible.

In this scenario, in addition to the risk management and resilience needs to guarantee the adequate performance of DPCs, there is the ‘obligation’ to contain the costs of energy consumption and cooling in the face of the environmental crisis we are experiencing. Sustainability in the CPD is imperative, regardless of its scale, both at the company level and at the level of large installations such as colocation data centers.

Challenges And Solutions To Reduce Energy Consumption In Data Centers

On a large scale, the data center sector has agreed to achieve climate neutrality by 2030 by reducing its carbon footprint, so many green initiatives are already being launched that should be considered when deploying a data center and choosing the best one. IT infrastructure provider coincides with the sustainability strategy of each company.

The power and cooling systems of data centers are the points on which to act. In this fight to achieve excellence in efficiency, environmental protection, and cost reduction, attention must be paid to the energy efficiency of the systems installed in the data center and the conditions of electricity consumption and cooling that will determine its performance.

The air conditioning of the CPD is the real workhorse. To reduce the energy consumed, and therefore the generation of CO2 and the production of greenhouse gases, various actions are being chosen. Among the most immediate standout are the following:

• The closure of the corridors and working on air management to avoid hot areas.
• Free cooling systems are excellent equipment using outside air.
• The use of renewable energies.

Water Systems And HFO Refrigerants To Improve The Air Conditioning Of The Data Center

One of the measures most talked about now is chilled water systems, specifically those that work with modern HFO refrigerants. Its hydro fluoro olefin compound reduces direct emissions and, therefore, the data center’s global warming potential (GWP). Their risk of inflammation has been addressed by locating the cooling units outside the data center so any issues can be more easily resolved.

These water systems are more efficient if they have those mentioned above accessible cooling technology because it allows the equipment to be cooled without activating the chiller unit’s compressor, which consumes the most electricity. If the application of adiabatic air conditioning is added, the air temperature will be improved through advanced evaporation and water spraying technology. All these changes are controlled from a console that monitors specific needs, analyzing temperatures and performance.

Green Data Center Upgrade Plans

Updating data centers to transform them into sustainable DPCs requires planning of data center specialists can take care of. For more than 25 years, we have been working on optimizing CPDs, incorporating improvements in their infrastructures and communications to ensure their efficient performance and reduce the costs associated with their operation.

A plan for the sustainability of the data center goes through four key points.

• Audit the starting situation and the challenges the facility faces, considering everything from environmental conditions to the regulations that must be met, including market objectives.
• Design a roadmap with achievable milestones in terms that can be achieved.
• Acquire products that guarantee the highest energy efficiency. This implies a firm commitment to green technology. Furthermore, in support of the circular economy, if the installation produces excess heat, it can be distributed through so-called ‘heat networks’ to other locations that take advantage of it.
• Invest in renewable energy to supply internal consumption needs.

Also Read: Importance Of Digital Monitoring In A Digital Marketing Strategy

The post Sustainability Trends In Data Centers appeared first on Trends Tech Blog.

Whether it is to supply the necessary IT to a department, a delegation, or, well, to support the IT requirements of a new business opportunity, It is very complex. And, above all, practically impossible to assemble in the reduced times that are required today. The devices hiperconvergencia provide what is needed to enjoy a virtual data center SDDC (Software-Defined Data Center). In other words: computing, network, and storage are all in a virtualized environment.

Convergent Systems Vs Hyper-Converged Systems

Converged solutions are preconfigured engineering resources that combine products from different manufacturers specializing in these different areas. The difference between converged and hyperconverged systems is that in hyper-convergence solutions, all the hardware operations are controlled by a software called a hypervisor. Hyperconverged devices act as blocks in which the different resources are balanced according to needs in a virtualized environment. They are a turnkey solution.

VMware, Microsoft, and Citrix are the companies that provide the most widely used hypervisors, vSphere, Hyper-V, XEN Server, respectively. These are combined with different resources from leading network, computing, and storage manufacturers resulting in the multiple options of HCI devices. Once the basic concepts of this technology have been clarified, let’s see its main uses and advantages.

Top Benefits Of HCI Systems Hyper-Convergence Use Cases

It is precisely the advantages of hyper-converged devices that give rise to their many applications. Among the main benefits, the following stand out:

• Rapid Application Provisioning: The virtualized components are automatically balanced among themselves to adjust to the demands of use, attending to various aspects such as criticality, priority, security. Agile supply of workloads.
• Cost Savings: Virtualization limits the need for new hardware, and automation reduces IT staff costs to manage it.
  High availability and scalability. The use that is being made of each resource is known at all times and if it is necessary to increase the capacity of the virtual datacenter, add another node.
• Maximum Flexibility: HCI appliances run any existing or new application workload on physical, private cloud, or hybrid cloud.

Some of the most common use cases are:

• Rapid deployment of virtual desktops
• Simple provisioning of data centers for new offices or departmental needs
• Infrastructure for backup and disaster recovery
• Software development and testing environments
• Reinforcement of IT resources for MSPs
• Private cloud to guarantee mobile access to corporate applications
• Dedicated architecture to ensure the correct execution of critical applications ( ERP program, CRM software, BPM solutions.).

When And How To Invest In Hyper-Convergence

That’s the million-dollar question when planning an IT project. The answer lies after a detailed analysis of the company’s IT infrastructure and its business needs. The speed and agility of deploying a complete data center in minutes using a hyper-converged device justify your investment. This IT consulting work is what Orbit provides as a technology and business partner to its clients. But, it must be admitted that it is not always the most recommended path. Its cost can alienate companies that can find what they are looking for in other technological solutions.

It is true that with hyper-convergence, we avoid having to deploy the network connecting storage and servers, that by changing these, it is not necessary to reinvest in hypervisor software and that we can expand storage via the cloud. But if, for example, we only want to grow in storage and not computation, we have to join a new node with all the components.

Or, if we only have the requirement to encrypt one cabin, we are forced to apply the encryption technology to the entire hyper-converged appliance, which increases the cost; the price also increases when replicating an entire node instead of one of its parts, etc. As we can see, there are many ways, and there is the best solution for each one. And HCI is for those assumptions that we have explained. For the rest, contact us, and we will explain the different options.

Also Read: Connected Buildings And IoT And How To Gain Efficiency And Maximize Occupant Comfort

The post Brief Guide To Assessing Hyper-Convergence Solutions appeared first on Trends Tech Blog.

Reducing energy consumption is one of the priorities of data center owners. First of all, by reducing the huge electric bill. But also for environmental responsibility. This explains why data centers are betting on sustainability in recent years.

Google is one of the companies that is making the most efforts in this regard. For example, its data centers incorporate highly efficient evaporative cooling techniques, have intelligent temperature and lighting controls, and apply the principles of ‘circular economy’.

Furthermore, it compensates each unit of energy it consumes with a unit of energy from renewable sources. It has been carbon neutral since 2007. On the other hand, the company adjusts its data center computing to keep it as busy as possible, trying to do more with fewer servers. Applying machine learning to increase the energy efficiency of your data centers is also being very important.

Now he is trying to get 24 × 7 carbon-free energy everywhere he has data centers. For this, it is essential to work with carbon-free energy sources, such as solar and wind. And the last step that the Mountain View company has taken goes precisely in this line.

In a post published by one of its engineers on its blog, Google explains that it has developed a new ‘carbon smart computing platform’, which is already working in its largest data centers.

Its objective is to adjust the workload and distribute it better throughout the day, taking advantage of the increase in computing tasks coinciding with the peaks of electricity production from low-carbon energy sources, such as wind and solar.

The company emphasizes that this is achieved without additional hardware and without affecting the performance of search services, Maps, or YouTube, which must respond effectively 24 hours a day. Google achieves this flexibility by modifying the time of non-urgent computing tasks, such as creating new filtering functions in Google Photos, YouTube video processing, or adding new words to your translator.

To do this, the smart platforms of each data center consult the forecasts of their partner Tomorrow, which predicts how the average hourly carbon intensity of the local electrical network will change throughout the day. At the same time, Google performs a complementary internal forecast, estimating the hourly energy resources that each data center will need to carry out its computing tasks during the day.

These two forecasts are compared and their results are used to plan the hour-by-hour shift, adjusting the computation to better take advantage of the times when there is greater availability of low-carbon electricity supply.

Additionally, Google is investigating ways to better distribute flexible computing tasks among different data centers, so that work is increased in those centers and at times when it is possible to make better use of renewable energy.
Google is launching new smart platforms in its data centers, taking advantage of peaks in renewable energy production to better distribute computing tasks and reduce its carbon footprint.

Reducing energy consumption is one of the priorities of data center owners. First of all, by reducing the huge electric bill. But also for environmental responsibility. This explains why data centers are betting on sustainability in recent years.

Google is one of the companies that is making the most efforts in this regard. For example, its data centers incorporate highly efficient evaporative cooling techniques, have intelligent temperature and lighting controls, and apply the principles of ‘circular economy’.

Furthermore, it compensates each unit of energy it consumes with a unit of energy from renewable sources. It has been carbon neutral since 2007. On the other hand, the company adjusts its data center computing to keep it as busy as possible, trying to do more with fewer servers. Applying machine learning to increase the energy efficiency of your data centers is also being very important.

Now he is trying to get 24 × 7 carbon-free energy everywhere he has data centers. For this, it is essential to work with carbon-free energy sources, such as solar and wind. And the last step that the Mountain View company has taken goes precisely in this line.

In a post published by one of its engineers on its blog, Google explains that it has developed a new ‘carbon smart computing platform’, which is already working in its largest data centers.

Its objective is to adjust the workload and distribute it better throughout the day, taking advantage of the increase in computing tasks coinciding with the peaks of electricity production from low-carbon energy sources, such as wind and solar.

The company emphasizes that this is achieved without additional hardware and without affecting the performance of search services, Maps, or YouTube, which must respond effectively 24 hours a day. Google achieves this flexibility by modifying the time of non-urgent computing tasks, such as creating new filtering functions in Google Photos, YouTube video processing, or adding new words to your translator.

To do this, the smart platforms of each data center consult the forecasts of their partner Tomorrow, which predicts how the average hourly carbon intensity of the local electrical network will change throughout the day. At the same time, Google performs a complementary internal forecast, estimating the hourly energy resources that each data center will need to carry out its computing tasks during the day.

These two forecasts are compared and their results are used to plan the hour-by-hour shift, adjusting the computation to better take advantage of the times when there is greater availability of low-carbon electricity supply.

Additionally, Google is investigating ways to better distribute flexible computing tasks among different data centers, so that work is increased in those centers and at times when it is possible to make better use of renewable energy.

Also Read: Buying Followers Is It Worth The Investment & Influencers

The post Google Adjusts It’s Computing To Peaks Of Renewable Energy appeared first on Trends Tech Blog.