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Update links to avoid redirects. (#5614)

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This commit is contained in:
Steve Perry
2017-09-25 10:04:09 -07:00
committed by GitHub
parent 8edb72657d
commit 35c7393849
103 changed files with 277 additions and 277 deletions
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docs/tasks/debug-application-cluster/debug-application-introspection.md
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@@ -379,7 +379,7 @@ Learn about additional debugging tools, including:
* [Logging](/docs/user-guide/logging/overview)
* [Monitoring](/docs/user-guide/monitoring)
* [Getting into containers via `exec`](/docs/user-guide/getting-into-containers)
* [Connecting to containers via proxies](/docs/user-guide/connecting-to-applications-proxy)
* [Connecting to containers via proxies](/docs/tasks/access-kubernetes-api/http-proxy-access-api/)
* [Connecting to containers via port forwarding](/docs/user-guide/connecting-to-applications-port-forward)
docs/tasks/debug-application-cluster/debug-stateful-set.md
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@@ -79,7 +79,7 @@ kubectl annotate pods <pod-name> pod.alpha.kubernetes.io/initialized="true" --ov
{% capture whatsnext %}
Learn more about [debugging an init-container](/docs/tasks/troubleshoot/debug-init-containers/).
Learn more about [debugging an init-container](/docs/tasks/debug-application-cluster/debug-init-containers/).
{% endcapture %}
docs/tasks/debug-application-cluster/resource-usage-monitoring.md
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@@ -4,7 +4,7 @@ approvers:
title: Tools for Monitoring Compute, Storage, and Network Resources
---
Understanding how an application behaves when deployed is crucial to scaling the application and providing a reliable service. In a Kubernetes cluster, application performance can be examined at many different levels: containers, [pods](/docs/user-guide/pods), [services](/docs/user-guide/services), and whole clusters. As part of Kubernetes we want to provide users with detailed resource usage information about their running applications at all these levels. This will give users deep insights into how their applications are performing and where possible application bottlenecks may be found. In comes [Heapster](https://github.com/kubernetes/heapster), a project meant to provide a base monitoring platform on Kubernetes.
Understanding how an application behaves when deployed is crucial to scaling the application and providing a reliable service. In a Kubernetes cluster, application performance can be examined at many different levels: containers, [pods](/docs/user-guide/pods), [services](/docs/concepts/services-networking/service/), and whole clusters. As part of Kubernetes we want to provide users with detailed resource usage information about their running applications at all these levels. This will give users deep insights into how their applications are performing and where possible application bottlenecks may be found. In comes [Heapster](https://github.com/kubernetes/heapster), a project meant to provide a base monitoring platform on Kubernetes.
## Overview