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ignio AI.Workload Management

Digitate

AI/ML driven software for transforming workload management operations from reactive to proactive!

Timely and predictive processing of batch jobs is vital to ensure stable business operations and high-quality customer experience. ignio AI.Workload Management brings a paradigm-shift in today’s batch operations from “reactive to proactive” and “manual to automated”. It combines the power of AI, machine learning, and automation to make the workload systems predictable, agile, and silent.

The challenge
Management of batch systems face two key challenges:
  • Scale, diversity, and complexity: Thousands of batch jobs, defined by complex precedence relationships cut across different business functions, and batch schedulers.
  • Changing environment: Different batch functions are performed on different days. As a result, the batch graph keeps changing every day.

The implications
These challenges collectively lead to the following chain of implications:
  • Lack of end-to-end visibility
  • Difficult to predict outages
  • Difficult to assess impact of change
  • Surprises & firefighting: Reactive operations
  • People dependence

The solution
ignio AI.WorkloadManagement combines the power of AI, machine learning, and automation to ensure proactive workload operations. Following are the key features of the product:
  • Learns the context of batch
  • Predicts and prevents SLA violations
  • Plans for growth and change
  • Diagnoses and resolves job failures
  • Identifies opportunities for proactive problem management
Out-of-Box integrations available for Azure Batch, Autosys, Control-M, ESP, TWS
במבט מהיר
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