This is the same database software that powers internal Google service logs and monitoring. It's optimized for handling time-stamped data like logs, which is one of the reasons you don’t need to swap out old logs data to cold storage like some other logging tools. We asked Dan Jacques, a software engineering lead on logging who led the effort to add regular expressions to the logging query language, to share some background on how logging works and tips and tricks for exploring your logs.Ĭan you tell me a little bit about Cloud Logging’s storage and query backend?Ĭloud Logging stores log data in a massive internal time-series database.
We’re delighted to announce that we recently added support for regular expressions to our query language - now you can search through your logs using the same powerful language selectors as you use in your tooling and software!Įven with regex support, common queries and helpful examples in our docs, searching petabytes of structured or unstructured log data efficiently is an art, and sometimes there’s no substitute for talking to an expert. One of the most frequent questions customers ask is “how do I find this in my logs?”-often followed by a request to use regular expressions in addition to our logging query language.
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