Generating Environmental Data for Insights and Audits
Xebia and dsm-firmenich run Sustell on a serverless AWS infrastructure powered by solutions such as
AWS Lambda, a serverless, event-driven compute service, and
AWS AppSync, which connects apps to data and events with secure, serverless, and high-performing GraphQL and Pub/Sub APIs. The choice to use AWS was partially driven to be more sustainable. Because serverless technology can scale dynamically to meet demand for cloud resources and avoid overprovisioned capacity, Sustell uses less energy and has a lower carbon footprint than traditional on-premises infrastructure.
Serverless infrastructure also requires less maintenance and is highly flexible, scaling rapidly to accommodate growth. Thus, dsm-firmenich avoids excessive operational overhead and hardware expenses, thereby maintaining stable costs. “The dsm-firmenich team was keen to create a developer-oriented and high-level stack of AWS services and tools to run Sustell on,” says Andres Koetsier, cloud-native development practice lead at Xebia. “By building on AWS, rather than a traditional infrastructure, we can increase in-house skills and keep a tight control on costs.”
Using Sustell, animal farmers can simulate scenarios to see how changes in their feed and farming practices, such as the type and source of feed ingredients, can reduce environmental impacts. According to a white paper from the
World Wildlife Fund, animal feed production and manufacturing in the US and Canada contribute to 20 percent of livestock’s carbon footprint, so relatively small changes can make a large impact. Sustell uses an engine from Blonk Consultants, an expert in the field of agri-footprint measurement, to calculate the footprint of animal production systems and analyze the impact of user decisions.
Sustell democratizes life cycle assessment (LCA), a comprehensive evaluation of the environmental impacts of a product or service throughout its entire life span. Sustell uses internationally certified LCA calculation methodologies (normally reserved for LCA experts), along with real feed, farm, and processing data, to provide accurate analysis of complex and highly nuanced farming systems. Instead of relying on specialists, businesses in the animal protein value chain can take full ownership of their LCA needs and scale accordingly.
LCA data not only benefits animal farmers but also helps banks understand the sustainability and climate-related risks they are taking with certain businesses. Additionally, environmental, social, and governance investors can use LCA data to understand how farms are run and whether they are subject to environmental risk. Sustainability-linked bonds and loans require regular, systematic measurements of environmental footprints across various farms and dimensions. And with Sustell, farming businesses can comply with these demands.
Advancing Analytic Capabilities to Support Animal Farmers
As Sustell continues to grow, dsm-firmenich is committed to refining its offerings. The solution’s modular, serverless design helps integrate new features; the company has added five new animal modules in 3 months.
Sustell can present very complex data in a digestible manner, a trait that has potential applications for other industries and other business areas within dsm-firmenich. With early adopters providing vast amounts of data, Sustell’s analytic and modeling capabilities will keep improving.
dsm-firmenich plans to explore how artificial intelligence could help spot trends in similar farming systems and generate user recommendations. As the industry continues to evolve, animal farmers will continue to trust Sustell to provide a holistic, transparent, and automated digital journey.