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.
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.
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.
"Acceldata supports our hyper-growth and helps us manage one of the world’s largest instant payment systems. PhonePe’s biggest-ever data infrastructure initiative would never have been possible without Acceldata."
"Acceldata’s tools fixed our analytics pipeline issues, improved visibility into our data systems, and recommended ways to scale and optimize our systems to meet future requirements. They helped True Corporation transition to open-source technologies, allowing us to reduce licensing costs, while delivering mission-critical analytics across the enterprise.”
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