Chapter 5: Cloud & virtualization for sustainability
As organizations strive to align with sustainability goals, the role of technology in reducing environmental impact has come into sharper focus. Cloud adoption, in particular, has emerged as a powerful catalyst for minimizing an organization’s carbon footprint.
How cloud adoption minimizes carbon footprint
One of the most significant contributions of cloud adoption to sustainability is the reduction in the need for on-premises hardware. Running local data centers often requires substantial investment in servers, networking equipment, and cooling systems. Cloud migration eliminates much of this demand.
Cloud providers operate hyper-scale data centers designed for exceptional energy efficiency. These facilities employ advanced technologies such as optimized cooling systems, energy-efficient servers, and automated energy management. Leading cloud providers invest heavily in renewable energy sources to power their operations.
Compared to on-premises setups, cloud data centers achieve higher utilization rates, meaning fewer resources are wasted. This consolidation of computing power significantly reduces the energy required to run equivalent workloads.
Another key approach is virtualization, where cloud providers consolidate workloads onto fewer physical machines, reducing the overall energy requirement for IT operations. This is especially beneficial for organizations looking to scale without expanding their hardware footprint. Cloud providers also maximize the life cycle of their hardware, ensuring servers are used to their full capacity before being decommissioned. Organizations that migrate to the cloud benefit from these practices, as their IT operations generate less waste. By offloading workloads to cloud providers, they also avoid the high energy consumption associated with cooling on-site data centers.
Supporting green IT through intelligent management
Traditional IT setups often lack the visibility and automation needed to monitor and control energy-intensive processes, leading to inefficiencies and higher carbon footprints. This is where intelligent management comes into picture, helping organizations transform their tech operations and become sustainability champions. Intelligent management tools leverage advanced analytics, automation, and real-time monitoring to identify underutilized resources, implement energy-saving measures, and track environmental impacts.
Use case: Sustainability with cloud cost management tools
A media company with its headquarters in London relies heavily on cloud platforms to support its operations, including video streaming, content management, and internal collaboration. While the cloud enables scalability and performance, the organization faced multiple challenges that ultimately made a huge dent in their monthly bills.
Challenge 1: Identifying cost and energy inefficiencies
The IT team notices that many cloud resources, such as virtual machines and storage systems, are over-provisioned or idle during non-peak hours, unnecessarily consuming energy and driving up costs. However, with no consolidated view of their cloud usage, they are essentially blind to where these leaks are occurring.
To resolve this, they invest in a cloud cost management tool that provides granular visibility into resource usage and costs. The IT team begins by peeling back the layers. They identify dozens of virtual machines running 24/7 for old development projects that were already completed. Storage buckets housing archived content that no one has accessed for years are incurring monthly costs. Even worse, their fragmented tagging system means they can’t easily attribute costs to departments, leaving them unable to hold teams accountable for their consumption.
Insights:
- Idle instances: Nearly 15% of their virtual machines were sitting idle, burning energy without delivering value.
- Over-provisioning: Some workloads were assigned more CPU and memory than they realistically needed, leading to wasteful spending and energy use.
- Lack of tagging: Untracked resources meant no one truly owned the costs, creating a culture where waste went unnoticed.
Action:
The first plan of action is to consolidate cloud usage and spending data from AWS and Azure into a single dashboard, providing the IT team with a clear view of all resources. The intelligent management tool highlights idle or underutilized resources, such as EC2 instances running overnight and over-provisioned storage volumes. Based on those insights, they shut down unused instances, resize over-provisioned machines, and clean up old storage.
At this stage, the team also recognizes the need for cultural-level changes that would prevent the repetition of untracked resource usage. A companywide tagging policy is issued and made mandatory across all branches of the office. Resources are tagged by department, project, and workload, enabling cost allocation and accountability across teams. This further allows teams to set budgets for cloud usage and receive real-time alerts when spending approaches thresholds.
Outcome:
Within months, the results are clear
- The company saved £20,000 annually in cloud costs by optimizing resource usage.
- Their energy consumption dropped significantly, contributing to a measurable reduction in their carbon footprint as part of their ESG guidelines.
- For the first time, they could generate detailed reports linking cloud usage to business goals, assuring stakeholders of their commitment to sustainability
Challenge 2: Choosing sustainable cloud providers
The organization has committed to achieving sustainability targets as part of its CSR goals. However, assessing the environmental impact of its cloud operations has proved challenging due to fragmented visibility, a lack of comparative analysis, and unoptimized resource allocation. The IT team and decision-makers do not have sufficient information to align their efforts with the company’s sustainability goals. Once again, they turn to their newly implemented cloud management tool for answers.
Insights:
The tool’s comparative analysis highlights that a competing cloud provider powered 85% of its European data centers with renewable energy, compared to the current provider’s 60%. Migrating the company’s video streaming workload to this greener provider will reduce carbon emissions by 30% for that workload.
Action:
In addition to migrating the workload, the IT team integrates sustainability metrics from AWS and Azure to measure the environmental footprint of individual workloads, such as video streaming. They study detailed reports from the tool that links financial costs with environmental impact. A complete breakdown of which services (e.g., compute, storage, networking) contribute the most to emissions allows them to make smarter choices towards their sustainability goals.
Leaning into automation further helps the IT team with cost optimization. They’re able to scale down resource usage during off-peak hours and migrate specific workloads to energy-efficient or green-certified instances.
Outcome:
- Detailed sustainability reports combining financial and environmental data allowed the company to monitor its present progress toward their CSR targets.
- Idle resources in non-critical environments were automatically shut down during off-peak hours, lowering energy consumption by 40%.
- Optimizing resources and migrating to greener providers reduced cloud costs by 20% annually while meeting environmental objectives.