正文：
近日，企业协作平台Slack在其工程博客上宣布推出一款定制Operator——Bedrock Rollout Operator，旨在优化Kubernetes集群中StatefulSet部署的管理。这款Operator由Slack的高级云计算工程师Clément Labbe介绍，旨在解决传统StatefulSet部署策略的局限性，提供更精细的控制和增强功能。
Bedrock Rollout Operator通过突破默认RollingUpdate策略的限制，实现了更高效的滚动更新。它允许多个Pod同时进行更新，从而加快了部署速度，尤其适合处理拥有大量Pod的应用程序。此外，Operator还提供了基于百分比的滚动更新机制，增强了控制能力，并提供了快速的回滚选项。
Slack的工程师在使用Kubebuilder开发Bedrock Rollout Operator时，考虑到其内部服务发现工具Consul的集成需求，以及与Slack内部发布管理UI的集成，确保了滚动更新状态的实时反馈和可见性。这款Operator还支持大规模管理，有效管理了高达1000个Pod的大型StatefulSet部署，并已在Slack的庞大Kubernetes基础设施中成功部署，覆盖了200多个集群，管理着近100个有状态服务。
尽管Bedrock Rollout Operator在Slack内部取得了成功，但也存在一些限制，如在处理大型StatefulSet部署时可能遇到的通知系统调整问题，以及在OnDelete策略下可能出现的“版本泄露”问题。Slack鼓励团队及时完成滚动更新流程，以缓解这些问题。
随着Kubernetes的不断发展，Slack的定制Operator展示了Operator模型在应对复杂部署需求和提供定制化解决方案方面的优势。未来，Kubernetes的维护者可能会将其中一些功能纳入核心功能，但在此之前，定制Operator将继续为有特殊需求的组织提供灵活性和深度集成能力。
英语如下：
News Title: “Slack Launches New Operator to Simplify Kubernetes StatefulSet Deployments”
Keywords: Slack, Operator, Kubernetes
News Content:
Recently, the enterprise collaboration platform Slack announced the launch of a custom Operator—the Bedrock Rollout Operator—on its engineering blog, aimed at optimizing the management of StatefulSet deployments within Kubernetes clusters. Introduced by Slack’s senior cloud engineer Clément Labbe, this Operator is designed to address the limitations of traditional StatefulSet deployment strategies, providing finer control and enhanced features.
The Bedrock Rollout Operator achieves more efficient rolling updates by breaking the limitations of the default RollingUpdate strategy. It allows multiple Pods to be updated simultaneously, speeding up the deployment process, especially suitable for applications with a large number of Pods. Additionally, the Operator offers a rolling update mechanism based on percentages, enhancing control capabilities and providing quick rollback options.
When developing the Bedrock Rollout Operator with Kubebuilder, Slack’s engineers considered the integration needs with their internal service discovery tool, Consul, as well as with the integration with Slack’s internal release management UI, ensuring real-time feedback and visibility of the rolling update status. The Operator also supports large-scale management, effectively managing large StatefulSet deployments with up to 1000 Pods. It has been successfully deployed in Slack’s extensive Kubernetes infrastructure, covering over 200 clusters and managing nearly 100 stateful services.
Although the Bedrock Rollout Operator has been successful within Slack, there are some limitations, such as potential adjustments to the notification system when handling large StatefulSet deployments, and the possibility of “version leaks” under the OnDelete strategy. Slack encourages teams to complete the rolling update process in a timely manner to alleviate these issues.
As Kubernetes continues to evolve, Slack’s custom Operator demonstrates the advantages of the Operator model in addressing complex deployment needs and providing customized solutions. In the future, some of these features may be incorporated into core Kubernetes functionality, but in the meantime, custom Operators will continue to provide flexibility and deep integration capabilities for organizations with specific needs.
【来源】https://mp.weixin.qq.com/s/4taeyE9b4WgyZ408u0ZCQw
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