Compute Performance Monitoring
Improve data processing reliability, scale, and cost.
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Improve data processing reliability, scale, and cost.
Transition from incident resolution to prediction and prevention. Many Pulse customers have completely eliminated all Sev 1 issues and unplanned outages for six months and running.
Automate workload analysis, expedite continuous innovation, perform rapid testing, and strengthen the CI/CD process to stand up new technologies rapidly.
Reduce costs by offloading unnecessary, over-provisioned software and align infrastructure costs with
business requirements.
Monitor and correlate data events across application, data, and infrastructure layers with a single-pane-of-glass UI.
"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.”
"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 Digital transition to open-source technologies, allowing us to reduce licensing costs, while delivering mission-critical analytics across the enterprise.”
