CA Workload Automation CA 7 Edition - CA Technologies
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CA Workload Automation CA 7® Edition

Fault-tolerant, highly available workload solution with easy-to-use user interface.

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CA Workload Automation CA7 Edition (WLA CA 7) supports an agile and business–centric IT environment by automating many of the labor-intensive tasks associated with workload automation and monitoring for z Systems. It facilitates quicker development from existing processes, and automates complex performance management to respond faster to changing SLA requirements.

Real-Time Analytics

Utilize advanced workload analytics in real-time to create an efficient and finely tuned WLA CA 7 environment with CA Workload Automation iDash.

Cross-Enterprise Application Support

CA Workload Automation CA 7 Edition extends automation capabilities to a wide variety of processing platforms to integrate business processing with workload management through CA Workload Automation Agents.

CA Workload Automation CA 7. Real results, right now.


Anticipate problems before they happen.

Anticipate performance of business services with integrated predictive analytics.

Increase visibility and control.

Manage multi-platform and application dependencies from a single point of control.

Work smarter and more efficiently.

Automate labor intensive tasks associated with job scheduling and monitoring for System z.

Get installation help, release notes and more.

A highly scalable, fully integrated workload automation solution


Customers are choosing CA over the competition because WLA CA 7 delivers:

  • Integrated predictive analytics - automated monitoring applies statistical techniques to analyze real–time and historical data helping users anticipate the performance of business services before they happen.
  • Throughput optimization - process workloads much faster than competitive tools because of its advanced architecture. This minimizes workload delays and speeds business data processing.
  • Real-time job scheduling – organizations can quickly develop new business functionality that can give them an edge over the competition who still rely on “batch scheduling” techniques.

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