Aokumo helped a fast-growing SaaS company save more than 30% AWS infrastructure costs within a month.
Client’s AWS cloud costs were increasing exponentially with their user growth due to unoptimized infrastructure. They were also facing performance degradation during peak hours.
Aokumo helped a fast-growing SaaS company save more than 30% AWS infrastructure costs within a month.
cost reduction on AWS infrastructure
enhanced forecast capabilities
visibility into infrastructure and costs
better monitoring
The client is a fast-growing SaaS company with millions of visitors every month. Their platform provides workflow automation of business processes. To keep growing, the client needs to optimize its infrastructure for cost and performance continuously.
Their AWS costs were increasing exponentially in proportion to their growing user base. Also, Users were facing performance issues with their workflows. Both these factors were harming the topline and bottom-line for the company.
Aokumo evaluated the client's infrastructure and optimized cost while increasing overall performance using open source and proprietary AWS cost optimization tools.
Some resources were either idle, underutilized, or overutilized. Some managed services were not configured properly, causing a waste of resources.
Since there was no granular breakdown of resource utilization, it was hard to track the right metrics for cost visibility and optimization.
The architecture was over-complicated and lacked best practices, adding cost overhead due to unnecessary data transfer.
The internal team didn’t have the experience or expertise to look at the right metrics and draw conclusions to take cost optimization measures.
Aokumo analyzed the existing infrastructure for resource utilization, cost-efficiency, and right-sizing.
We reconfigured resources and managed services by granularly breaking down utilization and associated cost.
We integrated the latest managed services for a better price/performance ratio and opted for relevant AWS saving plans.
We also optimized CDN, autoscaling, and database infrastructure to improve performance.
The client is getting more than 30% lower AWS bills, and the cost is increasing in the right proportion to their growth.
The client team gained the ability to automate resource optimization and better forecast future resource usage.
The client now has complete visibility of their resources and how they are used, along with projected costs.
Monitoring has been improved significantly after reconfiguring services and removing unused resources.
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