Trust But Canary: Configuration Safety at Scale
Trust But Canary: Configuration Safety at Scale
信任但要金丝雀测试：大规模配置安全
By Pascal Hartig 作者：Pascal Hartig
As AI increases developer speed and productivity it also increases the need for safeguards. On this episode of the Meta Tech Podcast, Pascal Hartig sits down with Ishwari and Joe from Meta’s Configurations team to discuss how Meta makes config rollouts safe at scale. 随着人工智能提高了开发者的速度和生产力，对安全保障的需求也随之增加。在本期 Meta 技术播客中，Pascal Hartig 与来自 Meta 配置团队的 Ishwari 和 Joe 坐下来，共同探讨 Meta 如何确保大规模配置发布的安全。
Listen in to learn about canarying and progressive rollouts, the health checks and monitoring signals used to catch regressions early, and how incident reviews focus on improving systems rather than blaming people. 收听本期节目，了解金丝雀测试（canarying）和渐进式发布，学习如何利用健康检查和监控信号尽早发现回归问题，以及事故审查如何专注于改进系统而非指责个人。
They also talk about how data and AI/machine learning are slashing alert noise and speeding up bisecting when something goes wrong. 他们还讨论了数据和人工智能/机器学习如何减少警报噪音，并在出现问题时加快二分排查（bisecting）的速度。
Download or listen to the episode below: You can also find the episode wherever you get your podcasts, including: Spotify, Apple Podcasts, Pocket Casts. 请在下方下载或收听本期节目：你也可以在你获取播客的任何平台找到本期节目，包括 Spotify、Apple Podcasts 和 Pocket Casts。
The Meta Tech Podcast is a podcast, brought to you by Meta, where we highlight the work Meta’s engineers are doing at every level – from low-level frameworks to end-user features. 《Meta 技术播客》是由 Meta 推出的播客节目，我们在此重点介绍 Meta 工程师在各个层面所做的工作——从底层框架到终端用户功能。
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