How RippleHire improved GCP stability, visibility,
and monthly costs with CloudKeeper

Industry:

Software Development

Headquarters:

Mumbai, Maharashtra

Founded in:

2015

Company Size:

51-200 employees

Overview

RippleHire is a global, AI-powered Applicant Tracking System used by enterprises across 50+ countries to run large-scale, high-velocity hiring. Built on behavioral science, artificial intelligence, and a no-code architecture, RippleHire helps organizations deliver award-winning recruiting experiences and operational efficiency at scale.

To stabilize their GKE environment, improve cloud efficiency, and build long-term FinOps maturity, RippleHire partnered with CloudKeeper to jointly optimize cost, performance, and reliability across their GCP ecosystem.

Challenges

With expanding workloads and increasing scale, RippleHire encountered several critical issues across GKE and GCP cost governance:

GKE instability with node pool failures and 12,000+ pending pods

No granular Pod/NodePool/cluster cost visibility

Full WAR to fix cost, security, and performance gaps

Unexpected Cloud SQL and Logging cost spikes

They needed a scalable, insight-rich platform to regain control of their cloud costs and a collaborative partner to help them resolve these challenges effectively.

The Solution

Solution:

CloudKeeper worked closely with RippleHire across engineering, FinOps, and architecture teams to stabilize clusters, improve cloud hygiene, and unlock operational transparency.

Stabilized GKE operations by fixing autoscaling, MIG health, disk saturation, scheduling issues, and quota constraints

Built custom dashboards for Pod-, NodePool-, and cluster-level cost visibility

Performed a full Well-Architected Review across Compute Engine, GKE, Cloud SQL, Networking, Storage, and Logging

Resolved Cloud SQL transfer anomalies and optimized Cloud Logging through exclusion filters, routing improvements, and retention fixes

Together, this helped RippleHire restore stability, gain granular visibility, and establish a strong foundation for ongoing FinOps and architectural improvements.

Metric	Value
Monthly Savings Identified	$4400 - $4800
Cost Optimization Sources	Rightsizing, AMD migration, removing idle resources
GKE Stability	Predictable autoscaling and healthier NodePools
Cost Visibility	Pod, NodePool and cluster-level insights
Logging Optimization	Reduced unwanted logs and corrected retention

RippleHire now has predictable cloud costs, stable GKE operations, and improved architecture hygiene across their GCP environment.

Outcome

Points Description

With CloudKeeper, RippleHire achieved:

Stabilized and predictable GKE performance

Granular visibility into cloud costs across services

$4.4K–$4.8K in recurring monthly savings

Resolved Cloud SQL and Logging anomalies

A clear roadmap for ongoing FinOps improvements

Conclusion

RippleHire’s partnership with CloudKeeper transformed their cloud operations, from reactive fixes to a structured, data-driven optimization strategy. The combination of deep engineering diagnostics, cost governance, and long-term FinOps planning has enabled RippleHire to operate a more resilient, transparent, and cost-efficient GCP environment.

With enhanced visibility, stronger architecture hygiene, and predictable savings, RippleHire is now positioned to scale confidently while making every cloud decision smarter and more sustainable.

Talk to our team

How RippleHire improved GCP stability, visibility, and monthly costs with CloudKeeper

Solution:

Conclusion

How RippleHire improved GCP stability, visibility,
and monthly costs with CloudKeeper