5 Ways to Transition to Sustainable Green Cloud | Protech Empire
Digital Transformation Global

5 Ways to Transition to Sustainable Green Cloud

5 Ways to Transition to Sustainable Green Cloud 
Image Courtesy: Pexels

Cloud providers are going green and adopting net-zero practice so that IT infrastructure can also be modified. Net zero practice is a practice for carbon neutrality or reduction of carbon dioxide in the environment.  In this articles we explore why “Green Cloud” should be one of your future investments.

Net-zero cloud migration would not only lessen environmental harm but also create a long-lasting green cloud for the future. Even if not all cloud practices will be energy-efficient, taking into account these tactics can help achieve the green cloud goal: 

Server virtualization for resource management

Virtualization is the solution to the problem of data centers’ massive power usage. The idea of virtualization is to divide up a single resource into several portions to utilize it more effectively (including energy). To run many operating systems and applications on fewer servers, data centers must create virtual infrastructures. In the following ways, such virtualization directly affects energy efficiency: 

  • This provides automatic failover for virtualized applications
  • Resource distribution is managed
  • Significantly higher server usage suggests a reduction in the need for more servers

Nano data centers

These are data centers that are located all over the world and use less energy since they are smaller and more numerous than traditional data centers. These tiny data centers are transportable and aid in the reduction of downtime with a decrease in response time. They are also capable of self-adaptation or self-scalability and have a high service proximity. 

Effective infrastructure utilization with IaaS

The optimal approach to use resources has always been as-a-service in the cloud. IaaS is one supporting paradigm that gives IT services scalability and flexibility. The virtual machine (VM), which serves as the primary computing component in data centers, must use less energy. 

By moving loads to active hosts, these VMs are condensed into fewer hosts, and inactive hosts are disabled. Therefore, overall energy usage is decreased using IaaS cloud.

Cloud optimization with rank-based microservices

Organizations that value more environmentally friendly cloud computing are implementing green cloud optimization to save the environment. Due to the flexibility of service delivery, cloud services are increasingly moving away from monolithic design and toward microservices. 

Numerous interconnected microservices are executed on cloud nodes. Lesser energy is consumed by generating a rank-based profile for these microservices. This is done by providing containers and distributing them across various nodes before running cloud services. Due to the availability of containers and microservices in the same data center location, the response time is also shortened. 

AI for intelligent resource scheduling

By intelligently allocating resources, AI may assist in lowering power use. Resource scheduling is crucial for lowering energy usage since cloud customers’ requirements vary. In data centers, resource scheduling is a major problem that an AI-enabled solution reschedules using intelligent decision-making capabilities.  

The idea of “green cloud computing” is being researched to preserve our eco-culture. The green cloud not only reduces carbon emissions but also has the potential to save enormous amounts of money on electricity. It’s more important to identify energy-saving digital solutions. This includes changes to infrastructure, data storage, deployment, etc., which will lower enterprise costs and assist cut carbon emissions. That is why “Green Cloud” is “THE” future to invest in.