June 2026
Intermediate
632 pages
19h 7m
Portuguese (Portugal, Brazil)
book
Engenharia de Observabilidade (Portuguese Edition), 2nd Edition
by Charity Majors, Liz Fong-Jones, George Miranda
Content preview from Engenharia de Observabilidade (Portuguese Edition), 2nd Edition
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Capítulo 12. Como agir e depurar alertas baseados em SLOs
Este trabalho foi traduzido com recurso a IA. Agradecemos o teu feedback e comentários: translation-feedback@oreilly.com
No capítulo anterior, apresentamos os SLOs e uma abordagem de monitoramento baseada em SLOs para alertas mais eficazes. Este capítulo examina detalhadamente como os dados de observabilidade são usados para tornar esses alertas tanto acionáveis quanto depuráveis. SLOs que usam dados de monitoramento baseados em limites — ou métricas — geram alertas que não são acionáveis, pois não oferecem orientações sobre como corrigir o problema subjacente. No entanto, usar dados de eventos amplos e estruturados para os SLOs torna-os mais precisos e mais fáceis de depurar.
Independentemente do nível de observabilidade dos seus sistemas, usar SLOs para orientar os alertas pode ser uma maneira produtiva de torná-los menos ruidosos e mais acionáveis. Os SLIs podem ser definidos para medir a experiência do cliente com um serviço de formas que se alinhem diretamente aos objetivos de negócios. Os orçamentos de erro estabelecem expectativas claras entre as partes interessadas da empresa e as equipes de engenharia. Os alertas de esgotamento do orçamento de erro permitem que as equipes garantam um alto nível de satisfação do cliente, se alinhem aos objetivos de negócios e iniciem uma resposta adequada a problemas de produção — sem o tipo de cacofonia comum nos alertas baseados em sintomas, onde uma enxurrada excessiva de alertas ...
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