Observability

失敗率

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

失敗率 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 失敗率?

In this glossary, 失敗率 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 失敗率 used in IT and DevOps?

In IT and DevOps communication, this term appears in contexts such as: "失敗率が高騰し即時分析を促した。"

Why does 失敗率 matter in IT and DevOps?

失敗率 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 失敗率?

失敗率 is mainly used by DevOps Engineers, SREs, and Platform Engineers.

What category does 失敗率 belong to?

In this glossary, 失敗率 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

失敗率

Localized example

失敗率が高騰し即時分析を促した。

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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