We’re excited to introduce a game-changer for Snowflake users that can take the load off warehouse management and optimization.
Managing a Growing Snowflake Environment with Confidence
Managing Snowflake data warehouses is a balancing act between performance and cost. As data teams expand their Snowflake environments to enhance efficiency and power cutting-edge data products, they often lack clear guidelines on how to optimally configure, size, monitor, and utilize their resources. We struggle with determining the right warehouse size, configuring scaling policies, and tracking resource utilization to prevent inefficiencies. Missteps can lead to sluggish queries, resource wastage, and unexpected expenses.
Introducing Seemore’s Warehouse Optimization: Right-Size Compute for Speed, Cost, and Scale
Seemore’s Warehouse Optimization eliminates inefficiencies in warehouse management, giving data teams full control over compute utilization, performance, and costs.
Instantly spot issues across all warehouses with a complete performance overview.
To achieve this, Seemore offers a comprehensive suite of monitoring and optimization tools that provide real-time insights and automation to ensure data teams maximize their Snowflake environments.
Complete Command Over Cost and Performance—No Surprises, No Waste
With a single dashboard, teams can detect misconfigurations, excessive uptime, and underutilized compute across all warehouses, ensuring optimal configurations for cost efficiency or maximum performance based on business needs.
Warehouse Monitoring Features
- Track continuous ingestion patterns to ensure real-time data processing stays efficient.
- Monitor query load percentages to optimize resource allocation and prevent bottlenecks.
- Analyze spillage distribution (both local and remote) to pinpoint wasted resources and reclaim compute power.
- Assess query execution times and queue delays to identify performance slowdowns and inefficiencies.
Proactive Optimization Features
- Optimize warehouse sizing to balance cost efficiency and performance.
- Implement and refine scaling policies to ensure seamless performance without over-provisioning.
- Identify and apply query acceleration techniques to improve responsiveness and reduce execution times.
- Adjust autosuspend configurations dynamically based on real-time demand.
- Align warehouse priorities with Snowflake performance timelines to optimize query execution and resource management.
View individual warehouses to identify workload imbalances and query performance issues.
Real-World Application: When Scaling Up Saves Costs
Optimization isn’t just about cutting back; sometimes, scaling up is the smarter move. A smaller warehouse might seem cost-effective, but if queries spill to disk and slow execution, increasing the warehouse size can reduce run time, lower queue delays, and ultimately save costs. Seemore detects when scaling up is beneficial, providing data-driven recommendations to enhance performance without unnecessary expenditure.
Seemore’s Warehouse Optimization equips data engineers with the tools to take full control of their Snowflake environments, ensuring efficient, cost-effective, and high-performing data operations.
Ready to optimize your Snowflake environment? [Book a demo today!]
