Maintain optimized and performant data platforms
Use data observability to optimize data health and data platform operations.


Use operational insights to ensure optimal, non-disruptive deployments
Identify Gaps: Identify workload and data cadence gaps using multi-layer insights so you can design future configurations for high quality and performance at the lowest cost.
Deploy: Continuously monitor resource utilization with bottleneck analysis, configuration recommendations, and a simulator to ensure performance is meeting requirements.
On-going Insights: Use real-time alerts to identify issues and leverage insights and recommendations to adjust configurations on demand.


Identify and prevent data platform incidents with comprehensive monitoring, insights, and recommendations
Monitoring: Track the health of your data platform, get real-time incident alerts, and simplify root cause analysis with multi-layer data.
Prediction: Spot early warning signs of future incidents with trend analysis, allowing adjustments to be made before service levels are impacted.
Recommendations: Use built-in configuration recommendations and simulations to right-size deployments for current and future workloads based on performance and cost.
Reduce costs and maintain optimal data platforms with rich spend and operational intelligence
Best Practices: Put in place best practices with cost intelligence and performance insights and maintain these with configuration recommendations.
Streamline: Lower costs while maintaining scale and performance with resource inefficiency insights and anomaly detection.
Spend with Confidence: Efficiently plan and optimize spend by monitoring usage, analyzing consumption, and placing guardrails to prevent runaway resource use.

Ready to start your data observability journey?
Start a free trial or request a demo to begin your
data observability journey.