Telenet Case Study (Belgium)

Project

  • Kenan Batch Performance Tuning.

Challenge

  • Crossjoin was challenged to optimize E2E Billing scheduler, for the company, in half, decreasing the elapsed time to 12 hours. The whole scheduler, compounded with more than 350 jobs, has a high level of complexity with several layers of parallelism.

Solution

  • Crossjoin analyzed and studied chain dependence of the 350+ jobs that comprise the billing scheduler, with a forecast algorithm to define the expected gains. This valuable action has permitted to Identified critical paths to improve, Defined approach to monitor and control E2E billing;
    • Proposed compressed scheduler to separate actual performance issues from scheduler gap;
    • Confirm the gains achieved after each recommendation.

Results

  • Achieved the SOW target of 12 hours by 140 Improvement Initiatives:
    • 28 Jobs Tuned with overall positive side effects in the entire chain;
    • Delivered partitioning Management scripts and Database health checks;
    • Reviewed and Optimised Database configuration;
  • Crossjoin also identified a set of actions to assure good levels of performance in order keep the expected times:
    • Maintenance Framework (Database monitoring and archiving);
    • Keep Monitoring & Control;
    • React in time;
    • Proact for prevention.

Telenet Case Study (Belgium)

Project

  • Kenan Batch Performance Tuning.

Challenge

  • Crossjoin was challenged to optimize E2E Billing scheduler, for the company, in half, decreasing the elapsed time to 12 hours. The whole scheduler, compounded with more than 350 jobs, has a high level of complexity with several layers of parallelism.

Solution

  • Crossjoin analyzed and studied chain dependence of the 350+ jobs that comprise the billing scheduler, with a forecast algorithm to define the expected gains. This valuable action has permitted to Identified critical paths to improve, Defined approach to monitor and control E2E billing;
    • Proposed compressed scheduler to separate actual performance issues from scheduler gap;
    • Confirm the gains achieved after each recommendation.

Results

  • Achieved the SOW target of 12 hours by 140 Improvement Initiatives:
    • 28 Jobs Tuned with overall positive side effects in the entire chain;
    • Delivered partitioning Management scripts and Database health checks;
    • Reviewed and Optimised Database configuration;
  • Crossjoin also identified a set of actions to assure good levels of performance in order keep the expected times:
    • Maintenance Framework (Database monitoring and archiving);
    • Keep Monitoring & Control;
    • React in time;
    • Proact for prevention.

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