Sustainable Cloud Engineering: Optimizing Resources for Green DevOps
Hitesh Allam · International Journal of Artificial Intelligence Data Science and Machine Learning · 2023
Although cloud computing offers scalability, flexibility, and the rapidity which has changed the digital world because of significant energy consumption and carbon emissions from data centers it also results in a growing environmental cost. Businesses rely more and more on these cloud services, therefore it is desperately necessary to include sustainability into their running systems. To significantly lower the environmental effect of cloud-native applications, this article looks at how sustainable practices may be included into DevOps an area that links development and these IT operations. Teams may improve cloud resource efficiency without compromising speed or agility by using strategies like intelligent work scheduling, infrastructure optimization, serverless computing, and their automated resource monitoring. Through the automation of lifecycle rules and the use of environmentally friendly cloud solutions, a case study shows how a mid-sized technology company cut its energy use by thirty% and reduced these unnecessary cloud expenses. These results show how capable a more sustainable DevOps pipeline is to both improve cost-effectiveness and resilience and forward company sustainability goals. The study emphasizes the need for cultural changes, better tools, and multidisciplinary teamwork in reaching long-lasting outcomes. Including environmental stewardship into these cloud computing techniques is not just a technical but also an economic requirement as the digital ecosystem grows. Emphasizing the requirement of sustainability KPIs to be given top priority within these DevOps processes, this paper recommends a complete industry change towards green IT