• Introduction At Uber, scale and reliability define our infrastructure. • Every new server type, kernel upgrade, and configuration change must be rigorously vetted before it touches production. • Historically, this qualification process was manual and time-consuming, forcing engineers to stitch together ad hoc benchmarks with limited ability to measure efficiency or ROI. • This created delays, added risk, and slowed the adoption of new technologies. • To close this gap, we built Ceilometer-an adaptive benchmarking framework that delivers fast, production-like signals on system performance. • Ceilometer empowers us to qualify new cloud SKUs, validate infrastructure changes, and evaluate efficiency initiatives with confidence.
Article Summaries:
- Uber has introduced Ceilometer, an adaptive benchmarking framework designed to automate performance and reliability testing across its infrastructure. The platform runs synthetic and production‑style workloads, collects detailed metrics, and delivers actionable insights on resource use, cost efficiency, and service stability. By integrating with internal tools, Ceilometer streamlines the launch of benchmark clusters, visualizes results, and quickly flags performance differences or reliability risks. The system addresses prior challenges-manual, inconsistent, fragmented testing-enabling faster, data‑driven decisions for qualifying new cloud SKUs, validating infrastructure changes, and testing microservices before large‑scale deployment.
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