We delivered an efficient and reliable orchestration layer that allowed our client’s platform to scale with both internal teams and 3rd parties faster than ever.
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AgTech
Aggregating and optimizing microservice calls
We delivered an efficient and reliable orchestration layer that allowed our client’s platform to scale with both internal teams and 3rd parties faster than ever.
Less coding, less testing, more efficient teams
By empowering the front-end more access
Efficient API calls free from complexities of microservices
While building a comprehensive agriculture data platform for a leading AgTech client, we noticed there were many inefficient microservices. This made simple queries complex and resource-intensive. To prepare them to scale both internally and with 3rd parties, we proposed building an orchestration layer using GraphQL.
Migrating from old to new can involve massive changes to back-end and front-end systems. Since we created an orchestration layer for the front-end to communicate with, minimal changes were needed to integrate the new data platform.
Our client wanted to scale quickly with internal teams (e.g. data science) and 3rd parties. We enabled this by reducing code, communication, and other blockades for releasing features and connecting new systems.
Dallas
15455 Dallas Pkwy, Ste 300
Addison, TX 75001
214.396.5390
Pittsburgh
181 42nd St.
Pittsburgh, PA 15201
San José
SIGMA Business Center
San José, San Pedro
Engineering Growth™
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