Outcomes
As a result, DataArt's engineers elegantly developed the architecture to provide the same integration behavior supporting co-existence with the legacy system. DataArt helped deliver a secure, future-proof, and cloud-agnostic solution to enable the client to switch between providers by adjusting the application's cloud setup.
Highlights
- DataArt team planned and successfully performed gradual migration from the legacy system to minimize possible risks related to the end-user experience.
- The solution supports extended non-functional requirements, including high availability and scalable architecture. Whereas a reduced set of whitelisted frameworks and libraries can be used and comply with logging standards to send application logs to Elasticsearch / Kibana.
- DataArt developed the project focused on reducing the Total Cost of Ownership (TCO). The application complies with modern processes and the client's Software Development Life Cycle (SDLC), ensuring smooth and easy support and evolutionary maintenance.
- The developed solution was integrated with several systems, while DataArt managed to keep the upfront budget under tight control by avoiding considerable re-engineering efforts.
- Project execution took only 3.5 months, aligning with the initial timeline.
Technology
(Elastic Kubernetes Service)
(Elasticsearch Logstash and Kibana)
(Elastic Compute Cloud)


