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How Mumu Migrated From Prometheus to InfluxDB and Tripled Their Metric Coverage

Mumu, an all-in-one productivity platform, migrated from Prometheus to InfluxDB 3 over three months, tripling their metric coverage from 150 to 560 metrics. The core motivation was a mismatch between Prometheus's pull-based model and Mumu's need to track discrete push-based events. The migration used a dual-write strategy via Vector, with ~80% of configuration and driver code generated by AI coding agents leveraging InfluxDB's published OpenAPI spec. Validation involved side-by-side Grafana panels comparing both systems. Key benefits included a dramatically lower instrumentation cost (adding a metric became a single HTTP call), SQL support for ad-hoc querying, and new observability use cases like CI/CD pipeline tracking, per-developer environments, and server command monitoring. Future plans include integrating InfluxDB as a delivery target in their MsgGO notification product and migrating user-activity data from NoSQL.

    #data-science#observability#monitoring#prometheus#influxdb
Jun 25•10m read time•From influxdata.com
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Table of contents
Why pull-based monitoring stopped making senseWhy InfluxDB 3 was the right optionMigration processBenefits of InfluxDB 3—from 150 to 560 metricsSQL on time series dataArchitecture overviewFuture plans for utilizing InfluxDB 3
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InfluxDB is a time-series database platform for collecting, storing, and analyzing time-stamped data...

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