Data Engineering Productivity
Design: Avoid costly refactoring by ensuring solutions are optimized for performance, quality and cost the first time. Data engineers can compare metrics for different data sets and technologies to determine the best design.
Development: Data engineers, analysts, data scientists, and application developers can search, explore and assess data assets with minimal data engineering effort. Acceldata automates data quality validation and anomaly detection.
Deployment: Teams save time deploying solutions at scale with insights to eliminate bottlenecks and
Monitoring: Site reliability engineers can quickly identify and resolve incidents with automated anomaly detection, alerts, and recommendations.
Prediction: Platform engineers can avoid incidents altogether with analytics that predict future issues.
Prevention: Platform teams can save time and prevent incidents by leveraging an auto-action framework that makes systems self-tuning and self-healing.
Best Practices: Administrators can keep systems efficient, performant and secure with analytics, monitoring and recommendations for best practices.
Identification of Waste: Engineers and architects can lower costs without sacrificing performance by identifying resource inefficiencies and configuration recommendations.
Spend Intelligence: Budget owners can efficiently plan and optimize spend by analyzing current and forecasted consumption at a department-level. Monitoring and analysis of usage limit guardrails prevent runaway consumption and costs.
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."
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.”
Start a free trial or request a demo to begin your
data observability journey.