Pinterest 如何利用 Honeycomb 增强 CI 可观察性并提高 CI 构建稳定性

Oliver Koo | Staff Software Engineer

Oliver Koo | 资深软件工程师

Optimizing Mobile Builds and Continuous Integration Observability at Pinterest with Honeycomb

使用 Honeycomb 优化 Pinterest 的移动构建和持续集成可观察性

At Pinterest, our mobile infrastructure is core to delivering a high-quality experience for our users. In this blog, I’ll showcase how the Pinterest Mobile Builds team is leveraging Honeycomb (starting in 2021) to enhance observability and performance in our mobile builds and continuous integration (CI) workflows.

在Pinterest，我们的移动基础设施是为用户提供高质量体验的核心。在这篇博客中，我将展示Pinterest Mobile Builds团队如何利用Honeycomb（从2021年开始）来增强我们移动构建和持续集成（CI）工作流程的可观察性和性能。

Building a Data-Driven Approach to Observability

构建数据驱动的可观察性方法

Our mobile builds team relies on Honeycomb(™) as a robust data engine to visualize build metrics, analyze trends, and make data-driven decisions. From tracking build times to categorizing errors, Honeycomb(™) empowers us with critical insights into our CI workflows, enabling us to proactively address issues and optimize performance.

我们的移动构建团队依赖Honeycomb(™)作为强大的数据引擎来可视化构建指标、分析趋势并做出数据驱动的决策。从跟踪构建时间到分类错误，Honeycomb(™)为我们提供了对CI工作流程的关键洞察，使我们能够主动解决问题并优化性能。

We’ve built dashboards that establish baseline metrics, monitoring key CI indicators like build times, pipeline success rates, and cluster usage for both iOS and Android builds. While many data platforms or CI providers can offer these capabilities out of the box, the real magic happens when we need to go deeper — when trends look abnormal, or when nuanced analysis is required to uncover hidden issues.

我们构建了仪表板来建立基准指标，监控关键的CI指标，如构建时间、流水线成功率和iOS和Android构建的集群使用情况。虽然许多数据平台或CI提供商可以开箱即用地提供这些功能，但真正的魔力在于当我们需要更深入分析时——当趋势看起来异常，或需要细致分析以发现隐藏问题时。

This is where Honeycomb truly excels. Its intuitive query builder makes slicing and dicing data seamless, enabling us to drill into granular details with ease. Features like derived columns let us create dynamic metrics on the fly, while its blazing-fast performance ensures that even with 1 million events sent daily[1] just for our CI build dataset, most qu...