Observability

失败率

The frequency or proportion of unsuccessful transactions, jobs, or service requests compared to the total, measured over a defined period in monitoring systems.

Quick answer: The frequency or proportion of unsuccessful transactions, jobs, or service requests compared to the total, measured over a defined period in monitoring systems.

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Quick answer

The frequency or proportion of unsuccessful transactions, jobs, or service requests compared to the total, measured over a defined period in monitoring systems.

Why it matters

失败率 matters because it supports clear communication in Observability contexts for DevOps Engineers, SREs, and Platform Engineers. It also connects to aviation training and exam language such as AWS Certification, Azure Certification, ITIL v4, and CKA/CKAD.

Editorial context

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Questions and answers

Questions and answers

What is 失败率?

In this glossary, 失败率 refers to: The frequency or proportion of unsuccessful transactions, jobs, or service requests compared to the total, measured over a defined period in monitoring systems.

How is 失败率 used in IT and DevOps?

In IT and DevOps communication, this term appears in contexts such as: "高失败率导致立即升级和根本原因分析。"

Why does 失败率 matter in IT and DevOps?

失败率 matters because it supports clear communication in Observability contexts for DevOps Engineers, SREs, and Platform Engineers. It also connects to aviation training and exam language such as AWS Certification, Azure Certification, ITIL v4, and CKA/CKAD.

Who uses 失败率?

失败率 is mainly used by DevOps Engineers, SREs, and Platform Engineers.

What category does 失败率 belong to?

In this glossary, 失败率 is grouped under Observability. Related pages in this category explain adjacent procedures, commands and operational concepts.

Where does this definition come from?

This definition is sourced from ITIL v4, AWS Well-Architected Framework, Kubernetes Documentation, CNCF and published by Protermify IT/DevOps as a static IT and DevOps reference page.

Definition

The frequency or proportion of unsuccessful transactions, jobs, or service requests compared to the total, measured over a defined period in monitoring systems.

Operational example

An elevated failure rate in API calls prompted immediate escalation and root cause analysis.

Localized term

失败率

Localized example

高失败率导致立即升级和根本原因分析。

Definition language

English reference definition

Source

ITIL v4, AWS Well-Architected Framework, Kubernetes Documentation, CNCF

Category

Observability

Exam relevance

  • AWS Certification
  • Azure Certification
  • ITIL v4
  • CKA/CKAD

Target audience

  • DevOps Engineers
  • SREs
  • Platform Engineers

Related terms

Use the related links below to continue through connected IT and DevOps terminology.

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