Blog
Guides, insights, and practical tips on managing cloud costs at scale.
BigQuery INFORMATION_SCHEMA shows slot hours per job but not cost. Learn how to calculate what a job really costs on capacity-based pricing — and why it is almost always more than the list price.
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Rabbit is heading to Google Cloud Next '26 in Las Vegas, April 22-24. Visit us at booth #4421, catch our Lightning Talk on automating BigQuery optimization, and join our live webinar on the topic.
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BigQuery reservation scaling modes control whether a reservation borrows idle slots, autoscales, or both, with a hard cap on total consumption. Here's how to choose the right one.
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On April 1, 2026, Google changes how BigQuery distributes idle slots across reservations by default. Here is what the fairness switch means for your setup.
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Learn how to reduce GCE overprovisioning by 40%+ through data-driven machine type rightsizing, family switching, and autoscaler optimization strategies.
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Understand BigQuery autoscaling's billing rules, max slot behavior, and how to reduce waste by 40%. Practical strategies for cost-effective reservation management.
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Save an average 27.5% on BigQuery storage costs by selecting the right pricing model for your data's compression and change patterns—no query changes needed.
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Discover how dynamic, job-level pricing optimization in BigQuery—powered by Rabbit—can unlock 15-20% cost savings by automatically routing each job to the most economical pricing model.
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Learn how to reduce BigQuery reservation costs through smarter slot management and pricing model selection for significant cloud savings.
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Rabbit is heading to Google Cloud Next ‘25 in Las Vegas — bringing years of hands-on cloud experience, product development, and practical insights into how companies manage and optimize their usage on Google Cloud.
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Discover how Rabbit empowers teams to optimize Google Cloud costs with transparency, automation, and actionable insights—saving up to 30% while fostering innovation and bridging engineering-finance gaps.
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Learn how to track your GKE cluster costs effectively. Get practical insights into Kubernetes cost monitoring and attribution.
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