
During March 2025, K. Peet developed a Google Cloud BigQuery integration for the newrelic/nri-flex repository, expanding monitoring capabilities for BigQuery workloads. The integration collected a comprehensive set of metrics, including table column counts, storage statistics, ingest rates, job metrics by user and dataset, slot usage, slowest jobs, and job failures, all reported to New Relic. Peet implemented the solution using Bash and YAML, focusing on CLI scripting and cloud integration best practices. The work included detailed setup documentation and configuration files, enabling straightforward deployment and improved visibility for customers seeking to optimize queries and control costs in GCP environments.

Summary for 2025-03: Delivered a new Google Cloud BigQuery integration for nri-flex, expanding monitoring coverage to BigQuery workloads. Implemented a comprehensive metrics suite (table column counts, storage statistics, ingest rates, per-user/dataset job metrics, slot usage, slowest jobs, and job failures) and wired reporting to New Relic. Provided setup/config README and bq.yml to facilitate deployment. Committed changes under 424038829e5e8cdb3eeefa9d89e51d8219d10441 (feat: GCP bq example (#557)). No major bugs fixed this month. Impact: improved visibility and actionable insights for BigQuery workloads; enables customers to detect performance regressions, optimize queries, and control costs. Skills: integration development, YAML-based configuration, documentation, cross-service metrics, and New Relic reporting.
Summary for 2025-03: Delivered a new Google Cloud BigQuery integration for nri-flex, expanding monitoring coverage to BigQuery workloads. Implemented a comprehensive metrics suite (table column counts, storage statistics, ingest rates, per-user/dataset job metrics, slot usage, slowest jobs, and job failures) and wired reporting to New Relic. Provided setup/config README and bq.yml to facilitate deployment. Committed changes under 424038829e5e8cdb3eeefa9d89e51d8219d10441 (feat: GCP bq example (#557)). No major bugs fixed this month. Impact: improved visibility and actionable insights for BigQuery workloads; enables customers to detect performance regressions, optimize queries, and control costs. Skills: integration development, YAML-based configuration, documentation, cross-service metrics, and New Relic reporting.
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