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Performance Testing Guidance

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This to ensure that you are clear on the actual vs projections to facilitate accurate tests, and for IBM® Order Management on cloud (OMoC) team to validate sufficient resources.
Some of the guidelines are:
  1. Projected peak volumes : Ensure business and IT are in sync on expected peak loads to ensure planned tests are accurate.  Conduct test for forecast of peak orders, order lines, common cart skus or items, and real time inventory calls.
  2. Representative Combination Tests : Assemble components to reflect real time data, scenarios and run in parallel to ensure adherence with Non Function Requirement (NFR); Stage data for various components and run them under full load (That is, Create + Schedule + Release+ Create Shipment + Confirm Shipment + Inventory Snapshot (IV) )
  3. Agent and integration servers : Ensure asynchronous batch processing components are tested in isolation and in combination with broader workload; ensure to tune agents (processes, threads, heap size) to meet expected peak SLAs or NFRs on throughput.
  4. Test Failure Scenarios : Validate resiliency of overall system and operations, ensuring graceful recovery if front-end channel (web, mobile, Call Center, Store, EDI, JMS), back-end OMS, or external integration endpoints fail. Include ‘kill switches’ in any components that can be disabled to avoid magnifying an isolated issue into system wide one, especially for any synchronous calls.
  5. Confirm Peak days and Hours :  Share any specific key dates or max burst times with IBM® Support, including code freezes, flash sales.
  6. Coordinate with IBM® : Inform IBM® (Customer Success Manager (CSM) or Support) in advance when load tests are planned if any data or diagnostics (such as against Database) are needing to be captured; IBM® can also then review internal metrics and response in parallel. Inform IBM® in advance of major configuration changes.
Refer to Knowledge Center for detailed Tuning and performance guidance.

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Document Information

Modified date:
01 November 2021

UID

ibm16347146