"Google Cloud 'Cut Through The Noise With New Log Scopes For Cloud Observability'" - Blog Post
"Google Cloud 'Cut Through The Noise With New Log Scopes For Cloud Observability'" - Blog Post
Together with metrics scopes, log scopes let you define a set of correlated telemetry for your application which in turn can then be used for faster troubleshooting or referencing for insights.Do you struggle to find the right data amidst all the data in your observability tools? This can make it hard to focus on what matters for your role.
您是否很难在可观测性工具的所有数据中找到正确的数据？这可能使你很难专注于对你的角色至关重要的事情。
Today, we are excited to introduce log scopes for Cloud Logging – a major advancement in how you manage and analyze your organization's logs. Log scopes are a named collection of logs of interest within the same or different projects. They are made up of groups of log views that control and grant permissions to a subset of logs in a log bucket.
今天，我们很高兴推出云日志记录的日志范围，这是您管理和分析组织日志的方式的一项重大进步。日志范围是相同或不同项目中感兴趣的日志的命名集合。它们由一组日志视图组成，这些视图控制和授予日志存储桶中一部分日志的权限。
For example, imagine your organization has two log buckets: log bucket A with log views X, Y, and Z; and log bucket B with log views M and N. You can now create a log scope Q that encompasses log views X and Y from log bucket A and log view M from log bucket B.
例如，假设您的组织有两个日志存储桶：具有日志视图 X、Y 和 Z 的日志存储桶 A；以及具有日志视图 m 和 N 的日志存储桶 b。现在，您可以创建一个日志范围 Q，其中包含来自日志存储桶 A 的日志视图 X 和 Y 以及来自日志存储桶 b 的日志视图 m。
Together with metrics scopes, log scopes let you define a set of correlated telemetry for your application which in turn can then be used for faster troubleshooting or referencing for insights.
日志范围与指标范围一起，允许您为应用程序定义一组相关的遥测数据，然后可以将其用于更快地进行故障排除或参考以获取见解。
