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Reliability

Annalie te Hofste
Annalie te Hofste • 12 June 2025

Reliability

Description

Reliability is defined as the degree to which a system, product or component performs specified functions without fault under normal operation. The ability of the software to maintain performance despite faults. The ability to recover data and resume normal operation after a failure.

Ensuring consistent, predictable, and uninterrupted access to data, which is necessary for supporting operations, decision-making, and user trust. 

Reduces the likelihood of unexpected behavior or failures, ensuring consistent operation and boosting user confidence. Maintains functionality despite errors or failures, preventing critical disruptions and ensuring business continuity. Maintains functionality despite errors or failures, preventing critical disruptions and ensuring business continuity.

In systems where message transmission is critical, reliability also includes guaranteed delivery, ensuring that information reaches its destination even in the presence of faults or retries.

Risks:

  • Ensuring reliability often requires introducing mechanisms such as error handling, fault tolerance, redundancy, and recovery protocols, which can add complexity to the system.
  • Implementing features to achieve reliability (e.g., extensive testing, failover systems) can increase both initial development costs and ongoing maintenance expenses.
  • Testing reliability comprehensively can be difficult, especially under rare failure conditions
  • Potential trade-offs between reliability and other NFRs like performance, availability, or scalability.
Non-Functional RequirementIssue ID: SIMPL-9915Status: Proposed

Detailed Non-Functional Requirements

  • Error detection, logging and handling mechanisms
    Simpl-Open's development lifecycle shall implement error detection ...

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  • Health-endpoints on APIs
    Simpl-Open's development lifecycle shall implement health-check ...

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  • System Resilience & Fault Tolerance
    Simpl-Open shall implement failover mechanisms, redundancy models ...

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