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In this free 45-minute session, we’ll dive into how the Atlassian Data Lake removes the API scripting and schema maintenance behind most DevOps reporting today. Learn to measure flow and reliability where the work happens by joining issues, incidents, and toolchain data. Includes a 30-minute technical walkthrough and 15-minute Q&A.
After this session, you'll be able to:
Measure engineering effectiveness—cycle time, throughput, WIP, and MTTR—without manual exports.
Blend Atlassian Data Lake data with Snowflake, BigQuery, or CI/CD sources for full-picture insight.
Identify quality issues by tracing incidents in JSM back to the original work in Jira.
Configure dashboard templates to flag stale issues and estimation accuracy automatically.
This session is ideal for Engineering Managers, DevOps Leads, and Site Reliability Engineers.