challenge
Ninety.io is a web application that helps customers make better use of EOS software. The application was having issues with scalability and stability as it was being run in Fargate containers and the current configuration was causing the containers to topple over. One account was also being used for all environments so development, test and production were all being used in the same account which caused issues with the blast radius (impact severity if a failure were to occur) between environments. It was also difficult to track where and how cost was being allocated.
solution
To resolve the account issue, we utilized AWS Organizations along with AWS SSO to separate accounts specifically for development, test and production. For ease of implementation and high cost effectiveness, we used S3 for customer data storage with lifecycle policies and VPC peering directly to the database to keep all traffic within the account. For scalability, we took their application from the Fargate containers and broke them out of each container and broke the application into smaller pieces and moved them into lambda with API gateway.
results
Moving to AWS Organizations with AWS SSO helped reduce the blast radius of the account structure and increased the ability to track spend. In doing so, it’s increased tracking of cost management while improving utilization. Now that the application has been broken out into serverless Lambda functions in conjunction with API Gateway, stability has improved immensely and the application is able to easily scale alongside rapid business growth. With a direct connection to the database, data security has been vastly improved.
Navigating Tech Transition for Leading Homebuilder
A leading U.S. homebuilder faced a high-stakes decision: replace a legacy internal tool before support ends or risk fragmentation across teams. In just two days, we aligned business and IT around the real problem—not just the symptoms—and laid the groundwork for a smarter, user-centered path forward. Learn more in this case study.
Enhanced Insights and Data-Driven Decision Making for Center Street Lending
Center Street Lending provides smarter loans for residential real estate investors in 42 states. Their internal teams relied on visualizations to make data-driven decisions within their loan programs, but their data sources were fragmented and not automated. Learn how we helped establish a single source of truth for streamlined communication between stakeholders and teams, while improving the accuracy and accessibility of key organizational metrics and KPIs.
AI-Powered Predictions Drive Efficiency for Transportation & Logistics Company
For a global transportation & logistics client, predicting pickup volumes for their highest-tier and most urgent next day air delivery service was a challenge due to fluctuations in customer demand. Without precise predictions, planners would either over-allocate or under-allocate resources, negatively impacting our client’s efficiency and their customers’ satisfaction. They partnered with us to find a more reliable way to assist their route planners in optimizing daily dispatch schedules.
Scalable Data Overhaul for Supply Chain Sustainability Company
The existing tech stack for a leader in sustainable supply chain and manufacturing intelligence lacked usability and accessibility, making it harder to provide comprehensive product insights for customers. Learn how we created an AI-ready data solution that could scale efficiently while minimizing manual processes.