[On-Demand Webinar] Explore How Snowflake Data Team Scale Productivity without Adding Headcount

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On-Demand Webinar

Scaling Productivity for
Snowflake Data Teams
Without Adding Headcount

 

What you’ll learn?

  • The actual algorithms behind autonomous warehouse optimization
  • How to automate system control tasks like vertical and horizontal scaling, Gen1 vs. Gen2, minimize idle time and table clustering.
  • How SurveyMonkey cut Snowflake costs by 50%+ without hiring a single engineer.
  • Automation and AI real-world impact – What it looks like in practice, and how it stays aligned with business context.

End-to-end optimization across your entire modern stack

Integrates seamlessly with the tools you already use

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From Warehouse Tuning to Autonomous Control

Seemore Data’s CPO, Yaniv Leven breaks down the actual algorithms behind warehouse optimization. Then, Samiksha Gour, Director of Data Engineering at SurveyMonkey, shares how her team reduced Snowflake costs by ~50% without adding a single engineer — moving from manual, reactive tuning to autonomous, same-day decision making.

You’ll leave with concrete signals to monitor, algorithms you can apply to your own warehouses, and a clear framework for deciding when to resize, when to scale out, and when to change policy.

Make sure to screenshot the slides this icon with and save them – they will be useful for you later on in your Snowflake environment.

 

Yaniv Leven
Chief Product Officer
Samiksha Gour
Director of Data Engineering
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Key Takeaways

Algorithm-Driven Scaling Decisions

Apply vertical and horizontal scaling logic to choose the right warehouse size and cluster policy based on real workload signals.

Idle Waste Elimination

Identify idle clusters and enforce auto-shutdown policies that cut credit burn without hurting performance.

Gen 1 vs. Gen 2 Fit Analysis

Match warehouse generation to workload type, avoiding costly performance trade-offs.

Spillage-Aware Optimization

Use the ×3 RAM → SSD → Remote rule to prevent hidden runtime multipliers and reduce unnecessary compute spend.

Operational Shift to Same-Day Decisions

Replace week-long investigations with repeatable logic that enables faster, confident cost and performance actions.

Query-Level Cost Signals

Tie bytes scanned and load percentage directly to performance behavior, so you resize with data, not instinct.

Want to see this applied to your Snowflake environment?

Seemore Data continuously analyzes and optimizes cost, performance, and usage across the modern data cloud, giving data teams an “always-on” virtual engineer that makes smart decisions at machine speed.


See more, save more, do more!

See more, save more, do more!

Seemore Data continuously analyzes and optimizes cost, performance, and usage across the modern data cloud, giving data teams an “always-on” virtual engineer that makes smart decisions at machine speed.

  • Immediate savings by up to 50%
  • Connect securely with read-only metadata access only
  • From setup to production under 48 hours
  • Improve Snowflake efficiency without adding engineers
  • Measurable positive ROI within weeks