Jupiter closes a 20% to 40% infrastructure spend visibility gap with DoiT
- 26
- Vendor’s data ingested
- From 60% to 100%
- Coverage of data
Bringg's software-as-a-service delivery orchestration platform enables companies to streamline logistical operations and create perfect delivery experiences. Serving clients like Arcos Dorados, Walmart, and Coca-Cola, Bringg provides visibility into operations and real-time management capabilities. The platform is designed to be open, allowing companies to adapt it to their systems and build on top of it depending on their needs.
Bringg faced customer concerns about their cloud provider being seen as a commercial rival. They needed to migrate to a more independent provider while maintaining platform reliability for household-name clients like Walmart and Coca-Cola who couldn't afford downtime.
Bringg partnered with DoiT to migrate to Google Cloud, building infrastructure around Google Kubernetes Engine. They implemented automated infrastructure management with Cloud SQL and Cloud Load Balancing while maintaining their CI/CD practices and code-first approach.
We worked very closely together. It was really like a three-way partnership between us, DoiT, and the team at Google Cloud Israel
Lior Sion, CTO
Bringg built infrastructure around Google Kubernetes Engine for stability, scalability, and flexibility. The managed services allowed more automation while maintaining their CI/CD philosophy. They used Cloud SQL for database solutions and Cloud Load Balancing to ensure smooth service for global clients. The platform provided flexibility to create custom solutions without forcing short-term fixes.
DoiT helped Bringg migrate to Google Cloud without service disruption after earlier collaboration incorporating Google Maps. Following initial proof of concept with staging accounts, DoiT and Bringg seamlessly moved existing clients to Google Cloud. The migration felt simple and streamlined, like clicking a button according to Bringg's CTO.
With Google Cloud, Bringg tripled business in 2018 while reducing infrastructure costs. The emphasis on infrastructure-as-code and GKE automation kept management overhead low, freeing engineers to add new features like retail store delivery and external fleet connections. The company achieved 30% efficiency gains through machine learning capabilities and raised a C Round of financing.
As Bringg expands and amasses more data, they're exploring BigQuery for analytics and Google Cloud Machine Learning Products for new capabilities like predicting truck idle time. The partnership continues evolving with constant contact with Google Cloud product managers about forthcoming features. Bringg looks to Google Cloud services first for new tasks because of their reliability.
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