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For Platform engineers

Keep users happy with optimized and performant deployments

Use operational and spend intelligence to keep your data platforms running smoothly and spend intelligence to rightsize deployments to manage costs.

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Leverage deep insights throughout your entire process to ensure optimal and performant deployments

Optimize solution design by analyzing designs and workload impact across your entire data stack to maximize quality, performance, and cost metrics.
Scale Data Reliability
Leverage templates, tagging, segmentation, and applying policies to ensure performance meets requirements. Simplify tuning for scale with bottleneck analysis, configuration recommendations, and a simulator to ensure performance meets requirements.
Post-Deployment Data Management
Use real-time insights and alerts to monitor ever-changing workloads and leverage recommendations to tweak configurations on demand.

Predict and prevent data platform incidents with comprehensive monitoring, insights, and automation

Track your data platform's operational health, get real-time alerts on incidents, and use multi-layer data to simplify root cause analysis.
Spot early warning signs of future incidents with trend analysis, allowing adjustments to be made before service levels are impacted.
Use configuration recommendations and simulations to right-size deployments for current and future workloads based on performance and cost.

New to Data Observability?

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PhonePe uses Acceldata to scale open-source data platform by 10x

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