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.
What Acceldata customers are saying
Burzin Engineer, Founder & Chief Reliability Officer, PhonePe
"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."
Ashwin Prakash, PubMatic Data Analytics Engineering Leader
"Acceldata provided the data observability tools and expertise to improve our data pipeline reliability. They helped us optimize HDFS performance, consolidate Kafka clusters, and reduce cost per ad impression, which is one of the most critical performance metrics.”
Wanlapa Linlawan, Head of Analytics Platform, True Corporation
"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.”
Ready to start your data observability journey?
Start a free trial or request a demo to begin your
data observability journey.
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