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IT groups must support many applications and servers across multiple platforms that frequently operate independently of each other. However, coordinating job scheduling across all these applications and networks is often required to optimize resource utilization. The traditional approach of applying more staff, toolkits, and rudimentary scheduling software to cobble together automated batch processing solutions becomes cost-prohibitive, inefficient, and error-prone, as the number of moving parts increases and the environment becomes more heterogeneous. Enterprise job scheduling products enable datacenters to solve this problem by simplifying both complex and routine tasks. This detailed evaluation guide provides a framework for benchmarking features and functions of enterprise job schedulers including:
- Calendaring
- Dependencies, Queues and Prioritization
- Alert Management
- Application and Database Support
- Framework / Network Management Integration
- Security and Audit Trails
- Fault Tolerance and Auto Recovery
- Event Driven Processing
- Scalability
Read this evaluation guide to learn how to compare competing products and determine which is appropriate for your needs. |
