Cost Optimization on AWS
Industry
Startups & Software
Teams & Services
Tech & Tools
EKS / Prometheus / Grafana / DataDog / TimeScale
Key Data Points
The Vision
To enable their cloud-native AdTech platform to grow without ballooning cloud operating costs
The Goal
Leveraging automation and alerting for sustainable cost control within a multi-region AWS environment
The Challenge
Our customer in the Ad Tech industry had built their marketing platform from the ground up on AWS. Foundational components were centralized in a primary AWS region, but as the product expanded to additional regions and single-tenant capabilities were added, their cloud costs also began to grow.
What was once a simple system with a unified tech stack eventually became complex with very little visibility into how resources were being utilized.
Infrastructure costs were growing exponentially. Controlling their AWS spend before it got out of control quickly became a top priority. With product deadlines looming and resource availability tight, they decided to engage Protagona to identify areas for immediate savings and implement controls to prevent overspending going forward.
The Solution
Protagona quickly identified and conducted several cost cleanup exercises to immediately reduce unnecessary spending. Tagging strategies were then defined and implemented within automation templates to assign clear ownership of cloud resources. Cost controls were then put in place to automatically identify orphaned or underutilized resources and notify owners to take action.
Database and EKS clusters were then evaluated for cost efficiencies. In both cases, clusters were modified to take advantage of horizontal auto-scaling. In addition, non-prod EKS clusters were updated to leverage spot instance nodes for additional cost savings.