Product Overview of Keebo
Keebo is a cutting-edge, fully automated AI-powered optimizer designed specifically for Snowflake, a cloud-based data warehousing platform. Here’s a detailed look at what Keebo does and its key features:
What Keebo Does
Keebo is engineered to dynamically optimize Snowflake environments to reduce costs without compromising performance. It utilizes advanced AI and machine learning algorithms to monitor and adjust various aspects of Snowflake settings in real-time, ensuring optimal resource utilization and cost savings.
Key Features and Functionality
Automated Optimization
- Keebo automatically optimizes Snowflake warehouse settings, including warehouse size, clustering, and memory allocation, to match the dynamic workload requirements. This process is fully automated, eliminating the need for manual intervention.
Real-Time Monitoring and Adjustments
- The platform continuously monitors workload distribution, resource utilization, and query behaviors using 76 specific metadata fields. It makes real-time adjustments to optimize costs and performance, ensuring that the system adapts to changing conditions without human intervention.
Performance Protection
- Keebo includes real-time performance protection features that detect and respond to potential performance issues. If query latencies increase or workload spikes occur, the system can “backoff” from optimizations to maintain performance levels.
Cost Savings
- Keebo is designed to save customers 25% or more on their Snowflake costs. It achieves this through dynamic optimizations that align resource usage with actual workload demands, delivering savings within 24 hours of setup.
Setup and Integration
- The setup process is quick and straightforward, taking only about 30 minutes. Keebo integrates seamlessly with Snowflake, requiring access only to usage metadata fields and not user data. It also supports Okta SSO for easy account management.
Customizable Control
- Users have fine-grained control over optimizations, allowing them to adjust settings to balance cost savings and performance. A user-friendly slider bar enables customization of optimization aggressiveness for each warehouse.
Visibility and Reporting
- Keebo provides full visibility into optimizations and savings through its user portal. Users can monitor and verify all optimizations, as well as audit actions taken by team members. The platform also offers automated reports and customizable dashboards.
Additional Features
- Other notable features include cost allocation, budget management, cost forecasting, multi-cloud support, real-time monitoring, cost anomaly detection, tagging and labeling, usage analytics, alerting and notifications, and reserved instance management.
Workload Intelligence
- Keebo has launched Workload Intelligence on the Snowflake Marketplace, which offers essential insights into managing Snowflake queries, users, and warehouses. This feature helps identify cost bottlenecks, inefficient queries, and optimization opportunities, further enhancing the optimization capabilities.
In summary, Keebo is a powerful tool that leverages AI and machine learning to automate Snowflake optimization, ensuring significant cost savings while protecting performance. Its real-time monitoring, customizable controls, and comprehensive reporting make it an invaluable asset for data teams looking to optimize their Snowflake environments efficiently.