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At CloudPi, we empower businesses with intelligent cloud cost optimization and governance solutions that maximize efficiency while minimizing expenses. Our platform seamlessly integrates with your existing cloud infrastructure, offering real-time insights, automated recommendations, and proactive policy enforcement to help you take control of your cloud spending
A mid-sized SaaS company experienced an alarming 500% increase in their monthly AWS S3 costs, jumping from $3,000 to $15,000. Traditional AWS cost monitoring tools couldn't provide the granular insights needed to identify the root cause, leading to weeks of investigation and continued excessive spending.
Due to the inability to pinpoint which S3 bucket or operation caused the surge, there was no clear visibility into whether internal processes or external users were responsible. Additionally, limited historical data from incomplete AWS cost allocation tags and the lack of retroactive analysis capabilities in native AWS tools made it difficult to diagnose and manage cost spikes effectively.
Automated anomaly detection flagged unusual API call volumes, immediately notifying the team of a 400% increase in GetObject calls, enabling a swift response to cost spikes.
By mapping API costs to specific teams and projects, the analysis uncovered a potential $20K overrun if the issue remained unchecked.
By tracking every S3 API call by bucket, operation type, and source, the analysis revealed that 92% of GetObject calls originated from a single bucket. This led to the identification of an overactive S3 sync job in development, responsible for 80% of the traffic, and unauthorized third-party downloads accounting for 15% of the traffic.
The implementation of CloudPi's solution led to With immediate identification of the problematic S3 sync job and resolution of the public bucket misconfiguration, incident resolution was 50% faster, leading to $12,000 in monthly cost savings and preventing future surprise bills.
Automated API cost thresholds and role-based cost dashboards provided real-time spending visibility for DevOps teams, enabling better cost management and control.
CloudPi transformed the company's approach to cloud cost management from reactive to proactive, providing the detailed insights needed to prevent future cost surprises while maintaining optimal cloud operations.