Strengthen your Azure Data Factory monitoring and get end-to-end insights into Pipelines, Integration Runtime and Nodes.
Enable Azure support teams to be proactive on Data Factory performance and troubleshoot with shorter Mean Time to Recovery.
Track a wide range of performance metrics in a single report to eliminate alert storms and false-positive signals.
With focused issue lens, segregate failed runs in Data Factory Pipelines and rerun in bulk with advanced automation.
Get exclusive support to monitor and rerun Integration Runtime Nodes which is present in the self-hosted type.
“In Turbo360’s case, these Quarterly catchups that we do every three months are unique, and we don’t know this from any other provider. So, from the customer service perspective.”
Efficiency in monitoring
Reduction in TCO
Azure Data Factory Monitoring Tool helps you track pipeline runs, set proactive alerts in case of any potential issues, and provides insights into diagnostic logs for root cause analysis.
Turbo360 provides consolidated report for monitoring multiple Data Factory pipelines. In the native tool, users need to switch between individual pipelines to view their performance, which can be time-consuming and difficult to identify issues.
It provides comprehensive monitoring of Azure Data Factory (ADF) pipeline run failures, integration runtimes, and dedicated integration runtime nodes.
Turbo360’s automation capabilities enable rapid recovery from pipeline failures by automatically detecting and rerunning failed pipelines. This eliminates the need for manual intervention, reducing downtime and ensuring the timely processing of critical data workflows.