DevOps Lifecycle – Monitor

Use Strobe to monitor applications for peak periods of CPU usage and identify jobs contributing to your rolling 4-hour average (R4HA)

  • Tune and monitor jobs to prevent future problems
  • Create optimized MSU usage history in preparation for adopting IBM Tailored Fit Pricing
  • SMF Global Monitoring captures both current and R4HA MSU usage and high CPU consumers
  • Batch Global Monitoring captures elapsed and CPU times for selected jobs, automatically initiating measurements if breaches of threshold occur
  • Schedule measurements during periods when online regions are consistently high consumers of CPU
Test_Drive_FAQ Screen Resolution
  • Identify jobs that contribute most to peak R4HA periods
  • Initiate measurement directly from Strobe Insight Report to identify root cause of high CPU

Use ThruPut Manager to proactively control IT costs by measuring performance, identifying waste and removing inefficiencies

  • Obtain visually intuitive insight into how batch jobs are being initiated and executed via web interface
  • Balance workload and improve batch throughput to deliver significant savings
  • Batch Service Metric defines batch service in terms all stakeholders can understand and measure
  • Automatically reorder batch queue to ensure most important workloads are completed first
  • Automatically monitor R4HA usage and reduce MSU consumption to lower MLC when sub-capacity pricing is used
  • Automatically constrain batch demand as peaks in R4HA approach cap
  • View aggregated reports on user management and performance groups
Lifecycle Step | ThruPut_Manager Batch Processing Monitoring