Data-driven organizations that embrace Digital Transformation possess immense potential for innovation and enhanced efficiency. However, it is also crucial to leverage that potential for the good of the planet and turn your sustainability ambitions into measurable and tangible results.
Feel free to share your ideas, thoughts, and insights regarding practical applications, best practices, and examples of how data can be harnessed to reduce environmental footprints. Remember, even the tiniest actions can yield a huge impact.
Let's help our precious planet by inspiring each other!
Datacenters consume large quantities of energy every year. Global data center electricity use in 2021 was 220-320 TWh2, or around 0.9-1.3% of global final electricity demand.
Using DataMiner, clients can make more efficient use of cloud resources, reduce costs and ultimately help drive down the environmental cost.
Occasional use of cloud functions to deliver services can be optimized using DataMiner orchestration capabilities compatible with multiple cloud providers such as AWS and Azure.
This use case, Amazon AWS EC2 – manage compute capacity and cloud applications with DataMiner, discusses how DataMiner can be used to manage compute capacity and cloud applications on AWS EC2. It explains that DataMiner can help optimize resource usage, reduce costs, and improve application performance. It also includes a case study demonstrating the benefits of using DataMiner for managing cloud applications on EC2.