How Scrut Automation used CloudKeeper Tuner to 
Unlock 7.3% in AWS Savings

Scrut Automation
Industry:
Software Development
Headquarters:
Palo Alto, California
Founded in:
2009
Company Size:
51-200 employees 215 associated members

Overview

Scrut Automation is a high-growth GRC automation platform that helps businesses stay continuously audit-ready for frameworks like SOC 2, ISO 27001, and GDPR. As a security-focused SaaS provider with a dynamic cloud footprint on AWS, Scrut needed deeper visibility into their usage patterns to control costs without compromising performance.

To enhance their cloud efficiency and scale smarter, Scrut Automation partnered with CloudKeeper to jointly drive cloud cost optimization using CloudKeeper Tuner.

Challenges

With cloud infrastructure growing in complexity, Scrut faced common yet critical challenges:

Identifying inefficiencies in containerized services like ECS
Surfacing overlooked or aged recommendations across environments
Prioritizing changes with tangible business value
Managing visibility and governance across multiple AWS accounts

They needed a scalable, context-rich platform to simplify cloud cost control—and a partner to collaborate closely on solving these problems.

The Solution

Solution: CloudKeeper Tuner

To address these dual challenges, Foundation.ai partnered with CloudKeeper leveraging the 
Partner-led Support service, to optimize database performance while enabling a secure and scalable WorkSpaces environment. The approach focused on improving system reliability, enforcing governance, and driving cost efficiency.

Amazon RDS Optimization

Performance Analysis & Bottleneck Detection

Leveraged AWS CloudWatch and custom instrumentation to monitor query patterns, memory consumption, and bottlenecks impacting RDS stability.

Database Tuning & Right-Sizing

Optimized critical database parameters and aligned RDS instance sizes with workload requirements, ensuring efficient resource utilization while avoiding over-provisioning.

Resource Allocation & Cost Optimization

Refined resource allocation strategies to balance performance with cost efficiency, reducing operational overhead and achieving smarter utilization of cloud infrastructure.

Impact

MetricValue
Monthly Savings Identified 7.3% of the AWS bill
ECS Optimization Impact88% of total savings
Aged Opportunities DetectedFrom 60+ days to over a year
Recommendation QualityClear, contextual, and actionable

CloudKeeper Tuner highlighted underutilized containers and aged inefficiencies in both staging and production environments—most of which had remained undetected in internal reviews.

Values Delivered Description

Future Roadmap: CloudKeeper Scheduler for Scaled Automation

Following strong initial results, Scrut is now planning to activate CloudKeeper Scheduler to
extend cost automation across its cloud infrastructure.

Tuner has already mapped idle patterns in non-production environments, enabling the team to
automate off-hour shutdowns for services like ECS, EC2, RDS, and ASG.

Next-phase goals include:

Description

Unlocking 8–10% additional savings through automated scheduling

Description

Reducing manual efforts via intelligent, policy-driven controls

Description

Enabling engineers to focus on innovation while cost optimization runs in the background

The Outcome
Points Description

With just a partial deployment, Scrut Automation achieved:

7.3% in monthly cost visibility

oitcome

88% of savings driven by ECS optimization

layer

Aged inefficiencies brought to light for resolution

outcome

A clear roadmap for scaling automation through Scheduler

layer

Stronger alignment between cloud usage and business goals

outcome

Conclusion

This joint initiative between Scrut Automation and CloudKeeper helped move from manual
cloud cost reviews to a more structured, intelligent approach to optimization. The early savings
and deep visibility have laid the groundwork for an expanded, automated cost-efficiency
program—making every cloud decision smarter, scalable, and more sustainable.

The CloudKeeper Tuner helped us in reducing the over-provisioned resources by
providing recommendations and identifying how much more we can reduce. The
onboarding process is simple, not too much hassle that we have to make on our end.

Sanchit Aggarwal
Senior DevOps Engineer, Scrut Automation
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