This is the time of year when every adult begins to think about finances. What do the kids want for holiday presents and how much do they cost? Did I withhold enough for my income taxes? A #fintech customer that helps people with their finances wanted to expand their Google Cloud footprint to leverage more managed services for a variety of use-cases.
Because SADA is uniquely positioned to help modernize and accelerate the customer’s @Google Cloud adoption, we were engaged to:
- Modernize parts of their #MachineLearning model serving infrastructure from #GoogleKubernetesEngine (#GKE) to the #VertexAI platform
- Create cost and cloud resource (e.g., #Storage, #Compute) utilization reports for the future state architecture
- Compare the performance characteristics of these systems to the current state of #ML model serving infrastructure.
- Streamline the #monitoring and #observability platform for accurate and optimized insights for the applications, infrastructure, and model predictions
With this engagement, SADA helped the customer achieve their main goal of building and maintaining the core data pipeline infrastructure that enables real-time predictions from their ML models. This deployment pattern, and various sub-components, provide the customer with fast, responsive, and streamlined predictions.
#SADAServices