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How Zendesk Enables Greater Developer Productivity with AWS and Datadog
技术
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 连接平台
适用行业
- Software
适用功能
- 商业运营
- 产品研发
用例
- 工厂可见化与智能化
- 预测性维护
服务
- 云规划/设计/实施服务
- 数据科学服务
挑战
Zendesk 正在过渡到高度动态的基于容器的环境，并且需要一个与 AWS 和 Kubernetes 集成的强大监控解决方案。他们现有的监控工具在团队之间造成了孤岛，并且需要手动关联指标、跟踪和日志，这使得解决问题变得困难。为了满足客户不断变化的需求，Zendesk 的开发人员需要自由地快速构建新功能。从历史上看，Zendesk 曾为其生产工作负载使用过单片本地架构，而其非生产工作负载则在 Amazon Web Services (AWS) 上运行。这种设置给开发人员带来了很多摩擦，并且难以扩展。
关于客户
Zendesk 是一家位于旧金山的客户服务软件公司，提供支持和销售产品，旨在帮助公司改善客户体验。来自多个行业的 170,000 多家企业利用 Zendesk 与世界各地的客户建立更牢固的关系。Zendesk 致力于提供始终在线的高性能平台，以满足其多样化用户群的需求并提供出色的客户服务。为了满足客户不断变化的需求，Zendesk 的开发人员需要自由地快速构建新功能。
解决方案
Zendesk 决定将其生产工作负载转移到在 AWS 上运行的基于容器的环境，为开发人员提供开发新功能和加速开发所需的模块化。他们选择 Kubernetes 作为容器编排工具，该工具在 AWS 上新的基于云的生产环境中运行良好。随着 Zendesk 将其生产工作负载转移到 AWS，他们也转向使用 Datadog 作为唯一的监控解决方案。通过切换到 Datadog，Zendesk 能够整体查看其环境，而不是将来自多个监控解决方案的信息拼凑在一起。Datadog 可轻松与 Kubernetes 集群集成，并为团队提供所需的可视性。
运营影响
数量效益
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