Consolidate YAML files [part-4] (#9241)

This PR consolidates YAML files used in the
`tasks/debug-application-cluster` subdirectory.

Depends-On: #9236
This commit is contained in:
Qiming
2018-07-03 02:17:19 +08:00
committed by k8s-ci-robot
parent a11e02d575
commit d15da5a726
20 changed files with 38 additions and 49 deletions
@@ -1,68 +0,0 @@
apiVersion: audit.k8s.io/v1beta1 # This is required.
kind: Policy
# Don't generate audit events for all requests in RequestReceived stage.
omitStages:
- "RequestReceived"
rules:
# Log pod changes at RequestResponse level
- level: RequestResponse
resources:
- group: ""
# Resource "pods" doesn't match requests to any subresource of pods,
# which is consistent with the RBAC policy.
resources: ["pods"]
# Log "pods/log", "pods/status" at Metadata level
- level: Metadata
resources:
- group: ""
resources: ["pods/log", "pods/status"]
# Don't log requests to a configmap called "controller-leader"
- level: None
resources:
- group: ""
resources: ["configmaps"]
resourceNames: ["controller-leader"]
# Don't log watch requests by the "system:kube-proxy" on endpoints or services
- level: None
users: ["system:kube-proxy"]
verbs: ["watch"]
resources:
- group: "" # core API group
resources: ["endpoints", "services"]
# Don't log authenticated requests to certain non-resource URL paths.
- level: None
userGroups: ["system:authenticated"]
nonResourceURLs:
- "/api*" # Wildcard matching.
- "/version"
# Log the request body of configmap changes in kube-system.
- level: Request
resources:
- group: "" # core API group
resources: ["configmaps"]
# This rule only applies to resources in the "kube-system" namespace.
# The empty string "" can be used to select non-namespaced resources.
namespaces: ["kube-system"]
# Log configmap and secret changes in all other namespaces at the Metadata level.
- level: Metadata
resources:
- group: "" # core API group
resources: ["secrets", "configmaps"]
# Log all other resources in core and extensions at the Request level.
- level: Request
resources:
- group: "" # core API group
- group: "extensions" # Version of group should NOT be included.
# A catch-all rule to log all other requests at the Metadata level.
- level: Metadata
# Long-running requests like watches that fall under this rule will not
# generate an audit event in RequestReceived.
omitStages:
- "RequestReceived"
@@ -77,7 +77,7 @@ A policy with no (0) rules is treated as illegal.
Below is an example audit policy file:
{{< code file="audit-policy.yaml" >}}
{{< codenew file="audit/audit-policy.yaml" >}}
You can use a minimal audit policy file to log all requests at the `Metadata` level:
@@ -1,10 +0,0 @@
apiVersion: v1
kind: Pod
metadata:
name: counter
spec:
containers:
- name: count
image: busybox
args: [/bin/sh, -c,
'i=0; while true; do echo "$i: $(date)"; i=$((i+1)); sleep 1; done']
@@ -22,12 +22,12 @@ your pods. But there are a number of ways to get even more information about you
For this example we'll use a Deployment to create two pods, similar to the earlier example.
{{< code file="nginx-dep.yaml" >}}
{{< codenew file="application/nginx-with-request.yaml" >}}
Create deployment by running following command:
```shell
$ kubectl create -f https://k8s.io/docs/tasks/debug-application-cluster/nginx-dep.yaml
$ kubectl create -f https://k8s.io/examples/application/nginx-with-request.yaml
deployment "nginx-deployment" created
```
@@ -34,11 +34,11 @@ In this exercise, you create a Pod that runs one container.
The configuration file specifies a command that runs when
the container starts.
{{< code file="termination.yaml" >}}
{{< codenew file="debug/termination.yaml" >}}
1. Create a Pod based on the YAML configuration file:
kubectl create -f https://k8s.io/docs/tasks/debug-application-cluster/termination.yaml
kubectl create -f https://k8s.io/examples/debug/termination.yaml
In the YAML file, in the `cmd` and `args` fields, you can see that the
container sleeps for 10 seconds and then writes "Sleep expired" to
@@ -1,47 +0,0 @@
apiVersion: v1
kind: ServiceAccount
metadata:
name: event-exporter-sa
namespace: default
labels:
app: event-exporter
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: event-exporter-rb
labels:
app: event-exporter
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: view
subjects:
- kind: ServiceAccount
name: event-exporter-sa
namespace: default
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: event-exporter-v0.1.0
namespace: default
labels:
app: event-exporter
spec:
selector:
matchLabels:
app: event-exporter
replicas: 1
template:
metadata:
labels:
app: event-exporter
spec:
serviceAccountName: event-exporter-sa
containers:
- name: event-exporter
image: k8s.gcr.io/event-exporter:v0.1.0
command:
- '/event-exporter'
terminationGracePeriodSeconds: 30
@@ -60,7 +60,7 @@ average, approximately 100Mb RAM and 100m CPU is needed.
Deploy event exporter to your cluster using the following command:
```shell
kubectl create -f https://k8s.io/docs/tasks/debug-application-cluster/event-exporter-deploy.yaml
kubectl create -f https://k8s.io/examples/debug/event-exporter.yaml
```
Since event exporter accesses the Kubernetes API, it requires permissions to
@@ -70,7 +70,7 @@ to allow event exporter to read events. To make sure that event exporter
pod will not be evicted from the node, you can additionally set up resource
requests. As mentioned earlier, 100Mb RAM and 100m CPU should be enough.
{{< code file="event-exporter-deploy.yaml" >}}
{{< codenew file="debug/event-exporter.yaml" >}}
## User Guide
@@ -94,4 +94,4 @@ jsonPayload.involvedObject.name:"nginx-deployment"
{{< figure src="/images/docs/stackdriver-event-exporter-filter.png" alt="Filtered events in the Stackdriver Logging interface" width="500" >}}
{{% /capture %}}
{{% /capture %}}
@@ -1,390 +0,0 @@
kind: ConfigMap
apiVersion: v1
data:
containers.input.conf: |-
# This configuration file for Fluentd is used
# to watch changes to Docker log files that live in the
# directory /var/lib/docker/containers/ and are symbolically
# linked to from the /var/log/containers directory using names that capture the
# pod name and container name. These logs are then submitted to
# Google Cloud Logging which assumes the installation of the cloud-logging plug-in.
#
# Example
# =======
# A line in the Docker log file might look like this JSON:
#
# {"log":"2014/09/25 21:15:03 Got request with path wombat\\n",
# "stream":"stderr",
# "time":"2014-09-25T21:15:03.499185026Z"}
#
# The record reformer is used to write the tag to focus on the pod name
# and the Kubernetes container name. For example a Docker container's logs
# might be in the directory:
# /var/lib/docker/containers/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b
# and in the file:
# 997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b-json.log
# where 997599971ee6... is the Docker ID of the running container.
# The Kubernetes kubelet makes a symbolic link to this file on the host machine
# in the /var/log/containers directory which includes the pod name and the Kubernetes
# container name:
# synthetic-logger-0.25lps-pod_default-synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
# ->
# /var/lib/docker/containers/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b-json.log
# The /var/log directory on the host is mapped to the /var/log directory in the container
# running this instance of Fluentd and we end up collecting the file:
# /var/log/containers/synthetic-logger-0.25lps-pod_default-synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
# This results in the tag:
# var.log.containers.synthetic-logger-0.25lps-pod_default-synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
# The record reformer is used is discard the var.log.containers prefix and
# the Docker container ID suffix and "kubernetes." is pre-pended giving the tag:
# kubernetes.synthetic-logger-0.25lps-pod_default-synth-lgr
# Tag is then parsed by google_cloud plugin and translated to the metadata,
# visible in the log viewer
# Example:
# {"log":"[info:2016-02-16T16:04:05.930-08:00] Some log text here\n","stream":"stdout","time":"2016-02-17T00:04:05.931087621Z"}
<source>
type tail
format json
time_key time
path /var/log/containers/*.log
pos_file /var/log/gcp-containers.log.pos
time_format %Y-%m-%dT%H:%M:%S.%N%Z
tag reform.*
read_from_head true
</source>
<filter reform.**>
type parser
format /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<log>.*)/
reserve_data true
suppress_parse_error_log true
key_name log
</filter>
<match reform.**>
type record_reformer
enable_ruby true
tag raw.kubernetes.${tag_suffix[4].split('-')[0..-2].join('-')}
</match>
# Detect exceptions in the log output and forward them as one log entry.
<match raw.kubernetes.**>
@type copy
<store>
@type prometheus
<metric>
type counter
name logging_line_count
desc Total number of lines generated by application containers
<labels>
tag ${tag}
</labels>
</metric>
</store>
<store>
@type detect_exceptions
remove_tag_prefix raw
message log
stream stream
multiline_flush_interval 5
max_bytes 500000
max_lines 1000
</store>
</match>
system.input.conf: |-
# Example:
# 2015-12-21 23:17:22,066 [salt.state ][INFO ] Completed state [net.ipv4.ip_forward] at time 23:17:22.066081
<source>
type tail
format /^(?<time>[^ ]* [^ ,]*)[^\[]*\[[^\]]*\]\[(?<severity>[^ \]]*) *\] (?<message>.*)$/
time_format %Y-%m-%d %H:%M:%S
path /var/log/salt/minion
pos_file /var/log/gcp-salt.pos
tag salt
</source>
# Example:
# Dec 21 23:17:22 gke-foo-1-1-4b5cbd14-node-4eoj startupscript: Finished running startup script /var/run/google.startup.script
<source>
type tail
format syslog
path /var/log/startupscript.log
pos_file /var/log/gcp-startupscript.log.pos
tag startupscript
</source>
# Examples:
# time="2016-02-04T06:51:03.053580605Z" level=info msg="GET /containers/json"
# time="2016-02-04T07:53:57.505612354Z" level=error msg="HTTP Error" err="No such image: -f" statusCode=404
<source>
type tail
format /^time="(?<time>[^)]*)" level=(?<severity>[^ ]*) msg="(?<message>[^"]*)"( err="(?<error>[^"]*)")?( statusCode=($<status_code>\d+))?/
path /var/log/docker.log
pos_file /var/log/gcp-docker.log.pos
tag docker
</source>
# Example:
# 2016/02/04 06:52:38 filePurge: successfully removed file /var/etcd/data/member/wal/00000000000006d0-00000000010a23d1.wal
<source>
type tail
# Not parsing this, because it doesn't have anything particularly useful to
# parse out of it (like severities).
format none
path /var/log/etcd.log
pos_file /var/log/gcp-etcd.log.pos
tag etcd
</source>
# Multi-line parsing is required for all the kube logs because very large log
# statements, such as those that include entire object bodies, get split into
# multiple lines by glog.
# Example:
# I0204 07:32:30.020537 3368 server.go:1048] POST /stats/container/: (13.972191ms) 200 [[Go-http-client/1.1] 10.244.1.3:40537]
<source>
type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/kubelet.log
pos_file /var/log/gcp-kubelet.log.pos
tag kubelet
</source>
# Example:
# I1118 21:26:53.975789 6 proxier.go:1096] Port "nodePort for kube-system/default-http-backend:http" (:31429/tcp) was open before and is still needed
<source>
type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/kube-proxy.log
pos_file /var/log/gcp-kube-proxy.log.pos
tag kube-proxy
</source>
# Example:
# I0204 07:00:19.604280 5 handlers.go:131] GET /api/v1/nodes: (1.624207ms) 200 [[kube-controller-manager/v1.1.3 (linux/amd64) kubernetes/6a81b50] 127.0.0.1:38266]
<source>
type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/kube-apiserver.log
pos_file /var/log/gcp-kube-apiserver.log.pos
tag kube-apiserver
</source>
# Example:
# 2017-02-09T00:15:57.992775796Z AUDIT: id="90c73c7c-97d6-4b65-9461-f94606ff825f" ip="104.132.1.72" method="GET" user="kubecfg" as="<self>" asgroups="<lookup>" namespace="default" uri="/api/v1/namespaces/default/pods"
# 2017-02-09T00:15:57.993528822Z AUDIT: id="90c73c7c-97d6-4b65-9461-f94606ff825f" response="200"
<source>
type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\S+\s+AUDIT:/
# Fields must be explicitly captured by name to be parsed into the record.
# Fields may not always be present, and order may change, so this just looks
# for a list of key="\"quoted\" value" pairs separated by spaces.
# Unknown fields are ignored.
# Note: We can't separate query/response lines as format1/format2 because
# they don't always come one after the other for a given query.
# TODO: Maybe add a JSON output mode to audit log so we can get rid of this?
format1 /^(?<time>\S+) AUDIT:(?: (?:id="(?<id>(?:[^"\\]|\\.)*)"|ip="(?<ip>(?:[^"\\]|\\.)*)"|method="(?<method>(?:[^"\\]|\\.)*)"|user="(?<user>(?:[^"\\]|\\.)*)"|groups="(?<groups>(?:[^"\\]|\\.)*)"|as="(?<as>(?:[^"\\]|\\.)*)"|asgroups="(?<asgroups>(?:[^"\\]|\\.)*)"|namespace="(?<namespace>(?:[^"\\]|\\.)*)"|uri="(?<uri>(?:[^"\\]|\\.)*)"|response="(?<response>(?:[^"\\]|\\.)*)"|\w+="(?:[^"\\]|\\.)*"))*/
time_format %FT%T.%L%Z
path /var/log/kube-apiserver-audit.log
pos_file /var/log/gcp-kube-apiserver-audit.log.pos
tag kube-apiserver-audit
</source>
# Example:
# I0204 06:55:31.872680 5 servicecontroller.go:277] LB already exists and doesn't need update for service kube-system/kubernetes-dashboard
<source>
type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/kube-controller-manager.log
pos_file /var/log/gcp-kube-controller-manager.log.pos
tag kube-controller-manager
</source>
# Example:
# W0204 06:49:18.239674 7 reflector.go:245] pkg/scheduler/factory/factory.go:193: watch of *api.Service ended with: 401: The event in requested index is outdated and cleared (the requested history has been cleared [2578313/2577886]) [2579312]
<source>
type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/kube-scheduler.log
pos_file /var/log/gcp-kube-scheduler.log.pos
tag kube-scheduler
</source>
# Example:
# I1104 10:36:20.242766 5 rescheduler.go:73] Running Rescheduler
<source>
type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/rescheduler.log
pos_file /var/log/gcp-rescheduler.log.pos
tag rescheduler
</source>
# Example:
# I0603 15:31:05.793605 6 cluster_manager.go:230] Reading config from path /etc/gce.conf
<source>
type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/glbc.log
pos_file /var/log/gcp-glbc.log.pos
tag glbc
</source>
# Example:
# I0603 15:31:05.793605 6 cluster_manager.go:230] Reading config from path /etc/gce.conf
<source>
type tail
format multiline
multiline_flush_interval 5s
format_firstline /^\w\d{4}/
format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
time_format %m%d %H:%M:%S.%N
path /var/log/cluster-autoscaler.log
pos_file /var/log/gcp-cluster-autoscaler.log.pos
tag cluster-autoscaler
</source>
# Logs from systemd-journal for interesting services.
<source>
type systemd
filters [{ "_SYSTEMD_UNIT": "docker.service" }]
pos_file /var/log/gcp-journald-docker.pos
read_from_head true
tag docker
</source>
<source>
type systemd
filters [{ "_SYSTEMD_UNIT": "kubelet.service" }]
pos_file /var/log/gcp-journald-kubelet.pos
read_from_head true
tag kubelet
</source>
monitoring.conf: |-
# Prometheus monitoring
<source>
@type prometheus
port 80
</source>
<source>
@type prometheus_monitor
</source>
output.conf: |-
# We use 2 output stanzas - one to handle the container logs and one to handle
# the node daemon logs, the latter of which explicitly sends its logs to the
# compute.googleapis.com service rather than container.googleapis.com to keep
# them separate since most users don't care about the node logs.
<match kubernetes.**>
@type copy
<store>
@type google_cloud
# Set the buffer type to file to improve the reliability and reduce the memory consumption
buffer_type file
buffer_path /var/log/fluentd-buffers/kubernetes.containers.buffer
# Set queue_full action to block because we want to pause gracefully
# in case of the off-the-limits load instead of throwing an exception
buffer_queue_full_action block
# Set the chunk limit conservatively to avoid exceeding the GCL limit
# of 10MiB per write request.
buffer_chunk_limit 2M
# Cap the combined memory usage of this buffer and the one below to
# 2MiB/chunk * (6 + 2) chunks = 16 MiB
buffer_queue_limit 6
# Never wait more than 5 seconds before flushing logs in the non-error case.
flush_interval 5s
# Never wait longer than 30 seconds between retries.
max_retry_wait 30
# Disable the limit on the number of retries (retry forever).
disable_retry_limit
# Use multiple threads for processing.
num_threads 2
</store>
<store>
@type prometheus
<metric>
type counter
name logging_entry_count
desc Total number of log entries generated by either an application container or a system component
<labels>
tag ${tag}
component container
</labels>
</metric>
</store>
</match>
# Keep a smaller buffer here since these logs are less important than the user's
# container logs.
<match **>
@type copy
<store>
@type google_cloud
detect_subservice false
buffer_type file
buffer_path /var/log/fluentd-buffers/kubernetes.system.buffer
buffer_queue_full_action block
buffer_chunk_limit 2M
buffer_queue_limit 2
flush_interval 5s
max_retry_wait 30
disable_retry_limit
num_threads 2
</store>
<store>
@type prometheus
<metric>
type counter
name logging_entry_count
desc Total number of log entries generated by either an application container or a system component
<labels>
tag ${tag}
component system
</labels>
</metric>
</store>
</match>
metadata:
name: fluentd-gcp-config
labels:
addonmanager.kubernetes.io/mode: Reconcile
@@ -1,113 +0,0 @@
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: fluentd-gcp-v2.0
labels:
k8s-app: fluentd-gcp
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
version: v2.0
spec:
selector:
matchLabels:
k8s-app: fluentd-gcp
kubernetes.io/cluster-service: "true"
version: v2.0
updateStrategy:
type: RollingUpdate
template:
metadata:
labels:
k8s-app: fluentd-gcp
kubernetes.io/cluster-service: "true"
version: v2.0
# This annotation ensures that fluentd does not get evicted if the node
# supports critical pod annotation based priority scheme.
# Note that this does not guarantee admission on the nodes (#40573).
annotations:
scheduler.alpha.kubernetes.io/critical-pod: ''
spec:
dnsPolicy: Default
containers:
- name: fluentd-gcp
image: k8s.gcr.io/fluentd-gcp:2.0.2
# If fluentd consumes its own logs, the following situation may happen:
# fluentd fails to send a chunk to the server => writes it to the log =>
# tries to send this message to the server => fails to send a chunk and so on.
# Writing to a file, which is not exported to the back-end prevents it.
# It also allows to increase the fluentd verbosity by default.
command:
- '/bin/sh'
- '-c'
- '/run.sh $FLUENTD_ARGS 2>&1 >>/var/log/fluentd.log'
env:
- name: FLUENTD_ARGS
value: --no-supervisor
resources:
limits:
memory: 300Mi
requests:
cpu: 100m
memory: 200Mi
volumeMounts:
- name: varlog
mountPath: /var/log
- name: varlibdockercontainers
mountPath: /var/lib/docker/containers
readOnly: true
- name: libsystemddir
mountPath: /host/lib
readOnly: true
- name: config-volume
mountPath: /etc/fluent/config.d
# Liveness probe is aimed to help in situations where fluentd
# silently hangs for no apparent reasons until manual restart.
# The idea of this probe is that if fluentd is not queueing or
# flushing chunks for 5 minutes, something is not right. If
# you want to change the fluentd configuration, reducing amount of
# logs fluentd collects, consider changing the threshold or turning
# liveness probe off completely.
livenessProbe:
initialDelaySeconds: 600
periodSeconds: 60
exec:
command:
- '/bin/sh'
- '-c'
- >
LIVENESS_THRESHOLD_SECONDS=${LIVENESS_THRESHOLD_SECONDS:-300};
STUCK_THRESHOLD_SECONDS=${LIVENESS_THRESHOLD_SECONDS:-900};
if [ ! -e /var/log/fluentd-buffers ];
then
exit 1;
fi;
LAST_MODIFIED_DATE=`stat /var/log/fluentd-buffers | grep Modify | sed -r "s/Modify: (.*)/\1/"`;
LAST_MODIFIED_TIMESTAMP=`date -d "$LAST_MODIFIED_DATE" +%s`;
if [ `date +%s` -gt `expr $LAST_MODIFIED_TIMESTAMP + $STUCK_THRESHOLD_SECONDS` ];
then
rm -rf /var/log/fluentd-buffers;
exit 1;
fi;
if [ `date +%s` -gt `expr $LAST_MODIFIED_TIMESTAMP + $LIVENESS_THRESHOLD_SECONDS` ];
then
exit 1;
fi;
nodeSelector:
beta.kubernetes.io/fluentd-ds-ready: "true"
tolerations:
- key: "node.alpha.kubernetes.io/ismaster"
effect: "NoSchedule"
terminationGracePeriodSeconds: 30
volumes:
- name: varlog
hostPath:
path: /var/log
- name: varlibdockercontainers
hostPath:
path: /var/lib/docker/containers
- name: libsystemddir
hostPath:
path: /usr/lib64
- name: config-volume
configMap:
name: fluentd-gcp-config
@@ -28,12 +28,12 @@ running Container.
In this exercise, you create a Pod that has one Container. The Container
runs the nginx image. Here is the configuration file for the Pod:
{{< code file="shell-demo.yaml" >}}
{{< codenew file="application/shell-demo.yaml" >}}
Create the Pod:
```shell
kubectl create -f https://k8s.io/docs/tasks/debug-application-cluster/shell-demo.yaml
kubectl create -f https://k8s.io/examples/application/shell-demo.yaml
```
Verify that the Container is running:
@@ -96,7 +96,7 @@ than Google Kubernetes Engine. Proceed at your own risk.
1. Deploy a `ConfigMap` with the logging agent configuration by running the following command:
```
kubectl create -f https://k8s.io/docs/tasks/debug-application-cluster/fluentd-gcp-configmap.yaml
kubectl create -f https://k8s.io/examples/debug/fluentd-gcp-configmap.yaml
```
The command creates the `ConfigMap` in the `default` namespace. You can download the file
@@ -105,7 +105,7 @@ than Google Kubernetes Engine. Proceed at your own risk.
1. Deploy the logging agent `DaemonSet` by running the following command:
```
kubectl create -f https://k8s.io/docs/tasks/debug-application-cluster/fluentd-gcp-ds.yaml
kubectl create -f https://k8s.io/examples/debug/fluentd-gcp-ds.yaml
```
You can download and edit this file before using it as well.
@@ -129,16 +129,16 @@ default fluentd-gcp-v2.0 3 3 3 beta.kubernetes.i
```
To understand how logging with Stackdriver works, consider the following
synthetic log generator pod specification [counter-pod.yaml](/docs/tasks/debug-application-cluster/counter-pod.yaml):
synthetic log generator pod specification [counter-pod.yaml](/examples/debug/counter-pod.yaml):
{{< code file="counter-pod.yaml" >}}
{{< codenew file="debug/counter-pod.yaml" >}}
This pod specification has one container that runs a bash script
that writes out the value of a counter and the date once per
second, and runs indefinitely. Let's create this pod in the default namespace.
```shell
kubectl create -f https://k8s.io/docs/tasks/debug-application-cluster/counter-pod.yaml
kubectl create -f https://k8s.io/examples/debug/counter-pod.yaml
```
You can observe the running pod:
@@ -175,7 +175,7 @@ pod "counter" deleted
and then recreating it:
```shell
$ kubectl create -f https://k8s.io/docs/tasks/debug-application-cluster/counter-pod.yaml
$ kubectl create -f https://k8s.io/examples/debug/counter-pod.yaml
pod "counter" created
```
@@ -64,7 +64,7 @@ customized node problems.
* **Step 1:** `node-problem-detector.yaml`:
{{< code file="node-problem-detector.yaml" >}}
{{< codenew file="debug/node-problem-detector.yaml" >}}
***Notice that you should make sure the system log directory is right for your
@@ -73,7 +73,7 @@ OS distro.***
* **Step 2:** Start node problem detector with `kubectl`:
```shell
kubectl create -f https://k8s.io/docs/tasks/debug-application-cluster/node-problem-detector.yaml
kubectl create -f https://k8s.io/examples/debug/node-problem-detector.yaml
```
### Addon Pod
@@ -98,14 +98,14 @@ following the steps:
node-problem-detector-config --from-file=config/`.
* **Step 3:** Change the `node-problem-detector.yaml` to use the ConfigMap:
{{< code file="node-problem-detector-configmap.yaml" >}}
{{< codenew file="debug/node-problem-detector-configmap.yaml" >}}
* **Step 4:** Re-create the node problem detector with the new yaml file:
```shell
kubectl delete -f https://k8s.io/docs/tasks/debug-application-cluster/node-problem-detector.yaml # If you have a node-problem-detector running
kubectl create -f https://k8s.io/docs/tasks/debug-application-cluster/node-problem-detector-configmap.yaml
kubectl delete -f https://k8s.io/examples/debug/node-problem-detector.yaml # If you have a node-problem-detector running
kubectl create -f https://k8s.io/examples/debug/node-problem-detector-configmap.yaml
```
***Notice that this approach only applies to node problem detector started with `kubectl`.***
@@ -177,4 +177,4 @@ resource overhead on each node. Usually this is fine, because:
* Even under high load, the resource usage is acceptable.
(see [benchmark result](https://github.com/kubernetes/node-problem-detector/issues/2#issuecomment-220255629))
{{% /capture %}}
{{% /capture %}}
@@ -1,23 +0,0 @@
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
spec:
selector:
matchLabels:
app: nginx
replicas: 2
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx
resources:
limits:
memory: "128Mi"
cpu: "500m"
ports:
- containerPort: 80
@@ -1,49 +0,0 @@
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: node-problem-detector-v0.1
namespace: kube-system
labels:
k8s-app: node-problem-detector
version: v0.1
kubernetes.io/cluster-service: "true"
spec:
selector:
matchLabels:
k8s-app: node-problem-detector
version: v0.1
kubernetes.io/cluster-service: "true"
template:
metadata:
labels:
k8s-app: node-problem-detector
version: v0.1
kubernetes.io/cluster-service: "true"
spec:
hostNetwork: true
containers:
- name: node-problem-detector
image: k8s.gcr.io/node-problem-detector:v0.1
securityContext:
privileged: true
resources:
limits:
cpu: "200m"
memory: "100Mi"
requests:
cpu: "20m"
memory: "20Mi"
volumeMounts:
- name: log
mountPath: /log
readOnly: true
- name: config # Overwrite the config/ directory with ConfigMap volume
mountPath: /config
readOnly: true
volumes:
- name: log
hostPath:
path: /var/log/
- name: config # Define ConfigMap volume
configMap:
name: node-problem-detector-config
@@ -1,43 +0,0 @@
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: node-problem-detector-v0.1
namespace: kube-system
labels:
k8s-app: node-problem-detector
version: v0.1
kubernetes.io/cluster-service: "true"
spec:
selector:
matchLabels:
k8s-app: node-problem-detector
version: v0.1
kubernetes.io/cluster-service: "true"
template:
metadata:
labels:
k8s-app: node-problem-detector
version: v0.1
kubernetes.io/cluster-service: "true"
spec:
hostNetwork: true
containers:
- name: node-problem-detector
image: k8s.gcr.io/node-problem-detector:v0.1
securityContext:
privileged: true
resources:
limits:
cpu: "200m"
memory: "100Mi"
requests:
cpu: "20m"
memory: "20Mi"
volumeMounts:
- name: log
mountPath: /log
readOnly: true
volumes:
- name: log
hostPath:
path: /var/log/
@@ -1,14 +0,0 @@
apiVersion: v1
kind: Pod
metadata:
name: shell-demo
spec:
volumes:
- name: shared-data
emptyDir: {}
containers:
- name: nginx
image: nginx
volumeMounts:
- name: shared-data
mountPath: /usr/share/nginx/html
@@ -1,10 +0,0 @@
apiVersion: v1
kind: Pod
metadata:
name: termination-demo
spec:
containers:
- name: termination-demo-container
image: debian
command: ["/bin/sh"]
args: ["-c", "sleep 10 && echo Sleep expired > /dev/termination-log"]