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+---
+title: " 每周 Kubernetes 社区聚会笔记 - 2015年4月3日 "
+date: 2015-04-04
+slug: weekly-kubernetes-community-hangout
+url: /blog/2015/04/Weekly-Kubernetes-Community-Hangout
+---
+<!--
+---
+title: " Weekly Kubernetes Community Hangout Notes - April 3 2015 "
+date: 2015-04-04
+slug: weekly-kubernetes-community-hangout
+url: /blog/2015/04/Weekly-Kubernetes-Community-Hangout
+---
+-->
+<!--
+# Kubernetes: Weekly Kubernetes Community Hangout Notes
+-->
+# Kubernetes: 每周 Kubernetes 社区聚会笔记
+
+<!--
+Every week the Kubernetes contributing community meet virtually over Google Hangouts. We want anyone who's interested to know what's discussed in this forum.
+-->
+每周，Kubernetes 贡献社区几乎都会通过 Google Hangouts 开会。
+我们希望任何有兴趣的人都知道本论坛讨论的内容。
+
+<!--
+Agenda:
+-->
+议程：
+
+<!--
+* Quinton - Cluster federation
+* Satnam - Performance benchmarking update
+-->
+* Quinton - 集群联邦
+* Satnam - 性能基准测试更新
+
+<!--
+*Notes from meeting:*
+-->
+*会议记录：*
+
+<!--
+1. Quinton - Cluster federation
+* Ideas floating around after meetup in SF
+* * Please read and comment
+* Not 1.0, but put a doc together to show roadmap
+* Can be built outside of Kubernetes
+* API to control things across multiple clusters, include some logic
+-->
+1. Quinton - 集群联邦
+* 在旧金山见面会后，想法浮出水面
+* * 请阅读并评论
+* 不是 1.0，而是将文档放在一起以显示路线图
+* 可以在 Kubernetes 之外构建
+* 用于控制多个集群中事物的 API ，包括一些逻辑
+
+<!--
+1. Auth(n)(z)
+
+2. Scheduling Policies
+
+3. …
+-->
+1. Auth(n)(z)
+
+2. 调度策略
+
+3. ……
+<!--
+* Different reasons for cluster federation
+
+1. Zone (un) availability : Resilient to zone failures
+
+2. Hybrid cloud: some in cloud, some on prem. for various reasons
+
+3. Avoid cloud provider lock-in.  For various reasons
+
+4. "Cloudbursting" - automatic overflow into the cloud
+-->
+* 集群联邦的不同原因
+
+1. 区域(非)可用性:对区域故障的弹性
+
+2. 混合云：有些在云中，有些在本地。 由于各种原因
+
+3. 避免锁定云提供商。 由于各种原因
+
+4. "Cloudbursting" - 自动溢出到云中
+
+<!--
+* Hard problems
+
+1. Location affinity.  How close do pods need to be?
+
+    1. Workload coupling
+
+    2. Absolute location (e.g. eu data needs to be in eu)
+
+2. Cross cluster service discovery
+
+    1. How does service/DNS work across clusters
+
+3. Cross cluster workload migration
+
+    1. How do you move an application piece by piece across clusters?
+
+4. Cross cluster scheduling
+
+    1. How do know enough about clusters to know where to schedule
+
+    2. Possibly use a cost function to achieve affinities with minimal complexity
+
+    3. Can also use cost to determine where to schedule (under used clusters are cheaper than over-used clusters)
+ -->
+ * 困难的问题
+ 
+ 1. 位置的吸引力。Pod 需要多近？
+
+    1. 工作负载的耦合
+
+    2. 绝对位置(例如欧盟数据需要在欧盟内)
+
+2. 跨集群服务发现
+
+    1. 服务/DNS 如何跨集群工作
+
+3. 跨集群工作负载迁移
+
+    1. 如何在跨集群中逐块移动应用程序?
+
+4. 跨集群调度
+
+    1.  如何充分了解集群以知道在哪里进行调度
+
+    2. 可能使用成本函数以最小的复杂性获得关联
+
+    3. 还可以使用成本来确定计划的时间（使用不足的集群比过度使用的集群便宜）
+
+<!--
+* Implicit requirements
+
+1. Cross cluster integration shouldn't create cross-cluster failure modes
+
+    1. Independently usable in a disaster situation where Ubernetes dies.
+
+2. Unified visibility
+
+    1. Want to have unified monitoring, alerting, logging, introspection, ux, etc.
+
+3. Unified quota and identity management
+ -->
+ * 隐含要求
+
+1. 跨集群集成不应创建跨集群故障模式
+
+    1. 在 Ubernetes 死亡的灾难情况下可以独立使用。
+
+2. 统一可见性
+
+    1. 希望有统一的监控，报警，日志，内省，用户体验等。
+
+3. 统一的配额和身份管理
+
+    1. 希望将用户数据库和 auth（n）/（z）放在一个位置
+    
+
+<!--
+* Important to note, most causes of software failure are not the infrastructure
+
+1. Botched software upgrades
+
+2. Botched config upgrades
+
+3. Botched key distribution
+
+4. Overload
+
+5. Failed external dependencies
+ -->
+ * 需要注意的是，导致软件故障的大多数原因不是基础架构
+
+1. 拙劣的软件升级
+
+2. 拙劣的配置升级
+
+3. 拙劣的密钥分发
+
+4. 过载
+
+5. 失败的外部依赖项
+
+ <!--
+* Discussion:
+
+1. Where do you draw the "ubernetes" line
+
+    1. Likely at the availability zone, but could be at the rack, or the region
+
+2. Important to not pigeon hole and prevent other users
+ -->
+ * 讨论：
+
+1. 在哪里画 ”ubernetes“ 线
+
+    1. 可能在可用区，但也可能在机架，或地区
+
+2. 重要的是不要鸽子洞并防止其他用户
+
+ <!--
+ 2. Satnam - Soak Test
+* Want to measure things that run for a long time to make sure that the cluster is stable over time.  Performance doesn't degrade, no memory leaks, etc.
+* github.com/GoogleCloudPlatform/kubernetes/test/soak/…
+* Single binary, puts lots of pods on each node, and queries each pod to make sure that it is running.
+* Pods are being created much, much more quickly (even in the past week) to make things go more quickly.
+* Once the pods are up running, we hit the pods via the proxy.  Decision to hit the proxy was deliberate so that we test the kubernetes apiserver.
+* Code is already checked in.
+* Pin pods to each node, exercise every pod, make sure that you get a response for each node.
+* Single binary, run forever.
+* Brian - v1beta3 is enabled by default, v1beta1 and v1beta2 deprecated, turned off  in June.  Should still work with upgrading existing clusters, etc.
+ -->
+ 2. Satnam - 浸泡测试
+* 想要测量长时间运行的事务，以确保集群在一段时间内是稳定的。性能不会降低，不会发生内存泄漏等。
+* github.com/GoogleCloudPlatform/kubernetes/test/soak/…
+* 单个二进制文件，在每个节点上放置许多 Pod，并查询每个 Pod 以确保其正在运行。
+* Pod 的创建速度越来越快（即使在过去一周内），也可以使事情进展得更快。
+* Pod 运行起来后，我们通过代理点击 Pod。决定使用代理是有意的，因此我们测试了 kubernetes apiserver。
+* 代码已经签入。
+* 将 Pod 固定在每个节点上，练习每个 Pod，确保你得到每个节点的响应。
+* 单个二进制文件，永远运行。
+* Brian - v1beta3 默认启用， v1beta1 和 v1beta2 不支持，在6月关闭。仍应与升级现有集群等一起使用。