Automated GCP Cost Management for Engineers
Rabbit saves on cloud costs, controls your cloud spend, and saves engineering time.
Rabbit saves on cloud costs, controls your cloud spend, and saves engineering time.
$1,906,812 saved with Rabbit Automation
On average BigQuery reservations create 53.2% wastage because of the autoscaler bills you minimum 60 seconds
Why Rabbit?
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Save on cloud costs
Automated optimization to maximize performance at the lowest cost.
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Keep your cloud spend under control
Real-time anomaly detection at the pipeline or resource level.
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Save engineering time
Rabbit reduces the cost management burden on engineers.
Compute Engine recommendations are difficult to find
Detailed cost breakdown for BigQuery is unavailable
Kubernetes costs are not visible on the bill, only shown under Compute Engine
Usage costs take 24-48 hours to appear
Difficulty finding unlabeled services and workloads
Manually apply optimization recommendations
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Comprehensive, summarized, and filterable recommendations for the entire organization on a single page
Get precise cost details for queries, accounts, tables, and datasets in BigQuery
View specific Kubernetes cost details at the cluster, node, namespace, and workload levels
Near real-time detection of cost anomalies for timely insights
Easily locate unlabeled services and resources based on SKU, Service, and Project
Automatically apply optimization opportunities in a controlled way
Meet our team
Balázs Molnár
CEO
Ex-Google and Uber executive with extensive experience in Southeast Asia and the Middle East.
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Zoltán Guth
CTO
10+ years of experience with Google Cloud; they’ve helped dozens of customers to optimize performance and costs in multiple areas of GCP.
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Want to bridge the cloud cost transparency gap between Management and Engineering?
Get in touch with us, we're here to help.
Zoltán Guth
CTO
Balázs Molnár
CEO