Crystal-clear visibility into cloud spend at the workload and tenant level
- Days
- Time to first cost insights after install
- Days
- From install to powerful cost reporting
- Workload & tenant
- Granularity of cost visibility
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.
Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.
Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.
Paul White, VP of Engineering, Shasta Cloud
We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.
Martin Lee, Director of Operations
DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.
Eli Zilbershtein, Head of DevOps, Hippo
You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.
Omri Cohen, Director of Engineering, Platform
Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.
Jonathan Langer, COO, Claroty
Attribute™ simplified tracking customer costs in our multi-tenant environments. Customer cost measurement is now clear and standardized, and finance gets the business context they need. Integration was quick and required no changes.
Kfir Lippmann, CFO, Salt Security
Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.
Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru
This has let us get a better idea of what our cost of goods sold really is. It's not every day you come across something that delivers value as quickly as yours did for us. I was seeing useful insights inside the POC, and we had only deployed it to a couple of real clusters.
Jason Moore, Principal DevOps Engineer, Accrete AI
Eliminating the need to tag thousands of resources has freed up my team and we've invested our efforts in enhancing our platform significantly.
Ziv Sivan, VP of Engineering
PerfectScale by DoiT has become an important part of how we optimize Kubernetes at scale at OneFootball. It gives our platform team the visibility, automation, resiliency insights, and confidence we need to balance cost efficiency with production readiness, especially as we prepare for major global football moments like the 2026 FIFA World Cup.
Andrea Benfatto, Platform/Cloud Runtime Engineering Manager
Cloudflow's new RDS End of Life alerts have allowed us to be more proactive on keeping our database instances up-to-date. The new solution gives us internal visibility ahead of time so that we can prepare for upgrades, instead of having to upgrade under pressure while incurring extended support costs.
Jon Fairbanks, Site Reliability Engineering Manager
PerfectScale cut 40% off our total EKS spend, and the automations handle what used to take our team 20 hours a month. Now we spend that time on reliability and performance instead of chasing cost metrics.
Caio Cristo, Director of Infrastructure/SRE
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