Any chance for logs to contain personally identifiable information (PII) poses a security risk. Because of this, certain industries and locations have laws and regulations that restrict PII from being logged. But detailed logs are also critical for finding, investigating, and resolving issues in your applications. With huge volumes of logs moving between many different sources and destinations, how can you ensure that you don't inadvertently log and potentially leak PII, all while also enabling developers to capture insightful observability data without placing extra burdens on them?

In this session, Block's Leigh Maddock and Kaiqi Yang will share how they designed and implemented a systematic, three-tiered method of filtering PII from logs. You’ll hear about the tools they used, the challenges they faced, and how they overcame them. You’ll come away with a clear understanding of how to filter private data from your own telemetry.