Snowflake Monitoring

Optimize Your Storage Usage and Reduce Compute Costs

Rapidly detect deviations from historical patterns or fluctuations in storage usage with anomaly detection monitors
Enhance cost-saving strategies by closely analyzing spend at the user or warehouse level—pinpoint which teams or team members are incurring the highest Snowflake storage costs with out-of-the-box, interactive dashboards and drag-and-drop data visualizations
Highlight top warehouses by cost, and surface insights such as large tables that are never queried, tables where data is written but not read, rarely used views, and more

Avoid queuing queries caused by warehouse overload; monitor key query performance metrics in real time
Proactively adjust warehouse sizes or clusters before they exceed capacity with forecasting alerts driven by machine-learning
Catch issues early and optimize query performance; track both local and remote disk spilling
Identify specific warehouse bottlenecks by analyzing detailed execution metrics and query load

Quickly diagnose performance issues or unexpected slowdowns—filter queries by user, warehouse, database, or execution status
Aggregate and organize queries by common attributes such as query type, user, warehouse, database, or table
Identify long-running or resource-intensive queries—visualize query history, execution paths and resource consumption clearly and intuitively
Visually break down each query’s execution plan, showing resource utilization at each step

Ensure data pipelines are running smoothly with precise visibility into data ingestion and pipeline performance using Snowsight’s detailed loading metrics
Monitor loading job statuses and historical performance trends to optimize your data loading processes
Collect multiple layers of data including performance metrics, cost analytics, and detailed logs

Visualize detailed credit usage breakdowns that help you spot trends and anomalies in spending patterns
Gain deeper insights into how your Snowflake credits are being used across your organization
Understand warehouse credit consumption at a glance using meaningful, human-readable tags
Group by anything, from warehouse names to roles to individual users

Identify security misconfigurations or threats in your environment with real-time metrics related to Time Travel, Fail-Safe, and login attempts
Detect threats in minutes with detailed observability data from your entire stack
Break down information silos between developers, security, and operation teams
Improve collaboration across your organization using a single, unified, intuitive platform

Receive crucial insights into every layer of your Snowflake architecture
Aggregate metrics and events from 850+ integrated technologies, including Spark and Kafka, to get a complete view of all data-related activity in your system
Seamlessly pivot between correlated data for rapid troubleshooting