An optimization tool with powerful analytics and visualizations for identifying and improving conditions that affect optimal processing of workloads
Simplify schedule design and runtime complexity
Identify execution bottlenecks that affect optimal processing
Reduce time to resolve production issues
Get a detailed graphical view of your schedules to better understand the workflow design and how it’s performing. Analyze job designs, calendar designs and runtime behavior of the schedules to identify improvements.
Upstream and downstream dependency tracing enables what-if analysis so you can identify issues that could affect optimal processing. For example, answer questions like:
Review and analyze SLA performance for your scheduling activities. SLA results are presented as summaries with the ability to drill down to chart views and more detailed job run information in Gantt views. view job start/stop times in relationship to their SLA thresholds for comprehensive SLA analysis.
Review and analyze a job’s historic run performance and run state statistics. Results are presented in summary charts and grid views. Use the run timing chart to identify trends affecting drifts in job start/stop times as well as job wait and duration times. Drill down to Gantt views for detailed run performance analysis.
Quickly detect variations with side-by-side comparisons of schedules, jobs, calendars and other elements.
The Tidal Master is the central scheduling engine/server. Use this dashboard to monitor performance and health of the Master and identify opportunities for tuning. Queue statistics can reveal blocking queues where the number of jobs in the waiting state exceeds the queue’s job limit for a period of time.
A full suite of standard reports offers unique insights so you can improve design, operations and overall performance.