Help Center/ Log Tank Service/ User Guide/ Log Visualization/ Visualizing Logs in Dashboards/ Dashboard Templates (SQL Analysis)/ CCE Dashboard Templates

Updated on 2026-02-11 GMT+08:00

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CCE Dashboard Templates

CCE provides highly scalable, high-performance, enterprise-class Kubernetes clusters.

CCE dashboard templates support Viewing CCE Logs: Node Operations, Viewing CCE Logs: Kubernetes Object Operations, Viewing CCE Logs: Kubernetes Event Queries, Viewing CCE Logs: Kubernetes Event Center, Viewing CCE Logs: Aggregation Search, Viewing CCE Logs: Account Operations, and Viewing CCE Log Audit Center.

Prerequisites

Logs have been collected from CCE. For details, see Ingesting CCE Application Logs to LTS.
Logs have been structured. For details, see Setting Cloud Structuring Parsing.

Viewing CCE Logs: Node Operations

Log in to the management console and choose Management & Deployment > Log Tank Service.
In the navigation pane, choose Dashboards.

Choose CCE Dashboard Templates under Dashboard Templates and click CCE Logs: Node Operations to view the detailed charts.

Filter by node name. The associated query and analysis statement is:
```
select distinct("objectRef.name")
```
Filter by user. The associated query and analysis statement is:
```
select distinct("user.username")
```
Filter by status code. The associated query and analysis statement is:
```
select distinct("responseStatus.code")
```
Filter by operation type. The associated query and analysis statement is:
```
select distinct("verb")
```

Node Quantity Trend. The associated query and analysis statement is:

SELECT  time_series( TIME_PARSE(LEFT(requestReceivedTimestamp, 23),'yyyy-MM-dd''T''HH:mm:ss.SSS'), 'PT1H', 'yyyy-MM-dd HH', '0' ) as "dt",  count(DISTINCT("objectRef.name")) as "Nodes" where "objectRef.resource" = 'nodes'  and "objectRef.subresource" = 'status'  and "verb" in ('update', 'patch') and "user.username" = 'system:node' group by   "dt" order by  "dt" desc limit  10000

Non-System User Operation Trend. The associated query and analysis statement is:

SELECT time_series( TIME_PARSE(LEFT(requestReceivedTimestamp, 23),'yyyy-MM-dd''T''HH:mm:ss.SSS'), 'PT1H', 'yyyy-MM-dd HH', '0' ) as "dt", count(*) as "Requests", "user.username"  where "objectRef.resource" = 'nodes' and "user.username" not in ( 'kube-controller-manager','kube-apiserver-kubelet-client','apiserver') and "user.username" not like  'system:%' and "verb" in ('create','delete','update','patch') group by "dt", "user.username" order by "dt","Requests" desc limit 10000

create Codes. The associated query and analysis statement is:

select cast("responseStatus.code" as varchar) as "Status code", count(*) as "count" where "objectRef.resource" = 'nodes' and "verb" = 'create' group by "Status code"

delete Codes. The associated query and analysis statement is:

select cast("responseStatus.code" as varchar) as "Status code", count(*) as "count" where "objectRef.resource" = 'nodes' and "verb" = 'delete' group by "Status code"

patch Codes. The associated query and analysis statement is:

select cast("responseStatus.code" as varchar) as "Status code", count(*) as "count" where "objectRef.resource" = 'nodes' and "verb" = 'patch' group by "Status code"

update Codes. The associated query and analysis statement is:

select cast("responseStatus.code" as varchar) as "Status code", count(*) as "count" where "objectRef.resource" = 'nodes' and "verb" = 'update' group by "Status code"

Node Blocking/Unblocking Codes. The associated query and analysis statement is:

select cast("responseStatus.code" as varchar) as "Status code", count(*)  as "count" where "requestObject" in ('{"spec":{"unschedulable":false}}','{"spec":{"unschedulable":true}}')  group by "Status code"

Label Codes. The associated query and analysis statement is:

select cast("responseStatus.code" as varchar) as "Status code", count(*) as "count" where  "objectRef.resource" = 'nodes' and "verb" in ('patch','update') and "requestObject" = 'labels' and "requestObject" = 'metadata' group by "Status code"

Taint Codes. The associated query and analysis statement is:

select cast("responseStatus.code" as varchar) as "Status code", count(*) as "count" where "objectRef.resource" = 'nodes' and "verb" in ('patch','update') and "requestObject" = 'taints' group by "Status code"

Eviction Codes. The associated query and analysis statement is:

select cast("responseStatus.code" as varchar) as "Status code", count(*) as "count" where "objectRef.subresource" = 'eviction' and "objectRef.resource" = 'pods' and "verb" = 'create' group by "Status code"

Node Addition/Deletions. The associated query and analysis statement is:

select  "auditID" AS "Audit ID", "objectRef.name" AS "Node", "verb" AS "Operation", "stageTimestamp" AS "Occurred", "user.username" AS "Operator", "responseStatus.code" AS "Status Code"  where "objectRef.resource" = 'nodes' and "verb" in ('create','delete')

Taint Operations. The associated query and analysis statement is:

select  "auditID" AS "Audit ID", "objectRef.name" AS "Node","requestObject" AS "Taints",  "requestReceivedTimestamp" AS "Occurred", "user.username" AS "Operator", "responseStatus.code" AS "Status Code"  where "objectRef.resource" = 'nodes' and "verb" = 'patch' and "requestObject" = 'taints'

Eviction Operations. The associated query and analysis statement is:

select  "auditID" AS "Audit ID", "objectRef.name" AS "pod", "sourceIPs" AS "Source IP",  "requestReceivedTimestamp" AS "Occurred", "user.username" AS "Operator", "responseStatus.code" AS "Status Code"  where "objectRef.resource" = 'pods' and "verb" = 'create' and "objectRef.subresource" = 'eviction'

Label Operations. The associated query and analysis statement is:

select  "auditID" AS "Audit ID", "objectRef.name" AS "Node", "requestObject" AS "Label", "requestReceivedTimestamp" AS "Occurred", "user.username" AS "Operator", "responseStatus.code" AS "Status Code"  where "objectRef.resource" = 'nodes' and "verb" = 'patch' and "requestObject" = 'labels'

Blocking Operations. The associated query and analysis statement is:

select "auditID" AS "Audit ID", "objectRef.name" AS "Node",  "requestReceivedTimestamp" AS "Occurred", "user.username" AS "Operator", "responseStatus.code" AS "Status Code" where "verb" = 'patch' and "objectRef.resource" = 'nodes' and "requestObject" ='true' and "requestObject" = 'unschedulable'

Unblocking Operations. The associated query and analysis statement is:

select "auditID" AS "Audit ID", "objectRef.name" AS "Node",  "requestReceivedTimestamp" AS "Occurred", "user.username" AS "Operator", "responseStatus.code" AS "Status Code" where "verb" = 'patch' and "objectRef.resource" = 'nodes' and "requestObject" not in ('true','taints','unschedulable')

Viewing CCE Logs: Kubernetes Object Operations

Choose CCE Dashboard Templates under Dashboard Templates and click CCE Logs: Kubernetes Object Operations to view the detailed charts.

Filter by namespace. The associated query and analysis statement is:
```
select distinct("objectRef.namespace")
```
Filter by operation type. The associated query and analysis statement is:
```
select distinct("verb")
```
Filter by status code. The associated query and analysis statement is:
```
select distinct("responseStatus.code")
```
Filter by resource object. The associated query and analysis statement is:
```
select distinct("objectRef.name")
```
Filter by resource type. The associated query and analysis statement is:
```
select distinct("objectRef.resource")
```
Filter by user. The associated query and analysis statement is:
```
select distinct("user.username")
```

Major Operation Trend. The associated query and analysis statement is:

SELECT REPLACE(LEFT(requestReceivedTimestamp, 16),'T',' ') AS "dt", "verb" as "Operation type", count(*)  as "count" where "verb" in ('create','delete','update','patch') and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims') group by "dt","Operation type" order by "dt" limit 10000

Non-System User Operation Trend. The associated query and analysis statement is:

SELECT REPLACE(LEFT(requestReceivedTimestamp, 16),'T',' ') AS "dt", count(*) as "Requests ","user.username" WHERE "user.username" not in ('kube-controller-manager','kube-apiserver-kubelet-client','apiserver') and "user.username" not like 'system:%'  and  "verb" in ('create','delete','update','patch')  and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresss','configmaps','secrets','pvcs')  group by "dt", "user.username"  limit 10000

create Resources. The associated query and analysis statement is:

select "objectRef.resource" as "Resource type", count(*) as "count" where "verb" = 'create' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims')  group by  "objectRef.resource"

delete Resources. The associated query and analysis statement is:

select "objectRef.resource" as "Resource type", count(*) as "count" where "verb" = 'delete' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims')  group by  "objectRef.resource"

update Resources. The associated query and analysis statement is:

select "objectRef.resource" as "Resource type", count(*) as "count" where "verb" = 'update' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims')  group by  "objectRef.resource"

patch Resources. The associated query and analysis statement is:

select "objectRef.resource" as "Resource type", count(*) as "count" where "verb" = 'patch' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims')  group by  "objectRef.resource"

create Users. The associated query and analysis statement is:

select "user.username" as "User", count(*)  as "count" where "verb" = 'create' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims') group by  "user.username"

delete Users. The associated query and analysis statement is:

select "user.username" as "User", count(*) as "count" where "verb" = 'delete' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims') group by  "user.username"

update Users. The associated query and analysis statement is:

select "user.username" as "User", count(*)  as "count" where "verb" = 'update' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims') group by  "user.username"select "user.username" as "User", count(*)  as "count" where "verb" = 'update' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims') group by  "user.username"

patch Users. The associated query and analysis statement is:

select "user.username" as "User", count(*)  as "count"  where "verb" = 'patch' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims') group by  "user.username"

create Codes. The associated query and analysis statement is:

select cast("responseStatus.code" as varchar) as "Status code", count(*) as "count" where "verb" = 'create' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims') group by  "responseStatus.code"

delete Codes. The associated query and analysis statement is:

select cast("responseStatus.code" as varchar) as "Status code", count(*) as "count" where "verb" = 'delete' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims') group by  "responseStatus.code"

update Codes. The associated query and analysis statement is:

select cast("responseStatus.code" as varchar) as "Status code", count(*) as "count" where "verb" = 'update' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims') group by  "responseStatus.code"

patch Codes. The associated query and analysis statement is:

select cast("responseStatus.code" as varchar) as "Status code", count(*)  as "count" where "verb" = 'patch' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims') group by  "responseStatus.code"

create Operation Trend. The associated query and analysis statement is:

SELECT REPLACE(LEFT(stageTimestamp, 16),'T',' ') AS dt, "objectRef.resource" as "Resource type", count(*)  as "count" where "verb" = 'create' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims')  group by dt, "objectRef.resource" order by dt limit 10000

delete Operation Trend. The associated query and analysis statement is:

SELECT REPLACE(LEFT(stageTimestamp, 16),'T',' ') AS dt, "objectRef.resource" as "Resource type", count(*)  as "count" where "verb" = 'delete' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims')  group by dt, "objectRef.resource" order by dt limit 10000

update Operation Trend. The associated query and analysis statement is:

SELECT REPLACE(LEFT(stageTimestamp, 16),'T',' ') AS dt, "objectRef.resource" as "Resource type", count(*) as "count" where "verb" = 'update' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims')  group by dt, "objectRef.resource" order by dt limit 10000

patch Operation Trend. The associated query and analysis statement is:

SELECT REPLACE(LEFT(stageTimestamp, 16),'T',' ') AS dt, "objectRef.resource" as "Resource type", count(*)  as "count" where "verb" = 'patch' and "objectRef.resource" in ('deployments','statefulsets','cronjobs','daemonsets','jobs','pods','services','ingresses','configmaps','configmaps','persistentvolumeclaims')  group by dt, "objectRef.resource" order by dt limit 10000

Viewing CCE Logs: Kubernetes Event Queries

Choose CCE Dashboard Templates under Dashboard Templates and click CCE Logs: Kubernetes Event Queries to view the detailed charts.

Event Level: Select Warning, Normal, or Error.
Filter by event type. The associated query and analysis statement is:
```
select distinct("name")
```
Filter by cluster ID. The associated query and analysis statement is:
```
select distinct("cluster_id")
```
Filter by namespace. The associated query and analysis statement is:
```
select distinct("namespace")
```
Filter by name. The associated query and analysis statement is:
```
select distinct("resource_name")
```

Total Events. The associated query and analysis statement is:

SELECT TIME_FORMAT( "_time_", 'yyyy-MM-dd HH:mm:ss', '' ) as "_time_","total" FROM ( SELECT TIME_CEIL ( __time, 'PT1H' ) AS "_time_", count( 1 ) AS "total" FROM log GROUP BY "_time_" )

Ordinary Events. The associated query and analysis statement is:

SELECT TIME_FORMAT( "_time_", 'yyyy-MM-dd HH:mm:ss', '' ) as "_time_","total" FROM ( SELECT TIME_CEIL ( __time, 'PT1H' ) AS "_time_", count( 1 ) AS "total" FROM log where "type" = 'Normal' GROUP BY "_time_" )

Warnings. The associated query and analysis statement is:

 SELECT TIME_FORMAT( "_time_", 'yyyy-MM-dd HH:mm:ss', '' ) as "_time_","total" FROM ( SELECT TIME_CEIL ( __time, 'PT1H' ) AS "_time_", count( 1 ) AS "total" FROM log where "type" = 'Warning' GROUP BY "_time_" )

Errors. The associated query and analysis statement is:

SELECT TIME_FORMAT( "_time_", 'yyyy-MM-dd HH:mm:ss', '' ) as "_time_","total" FROM ( SELECT TIME_CEIL ( __time, 'PT1H' ) AS "_time_", count( 1 ) AS "total" FROM log  where "type" = 'Error' GROUP BY "_time_" )

Major Events. The associated query and analysis statement is:
```
select "name",count(1) as 'total' from log group by "name"
```

Major Event Statistics. The associated query and analysis statement is:

SELECT "type" as "Level", "name" as "Type", count(1) as "Total", "reason" as "Details" from log where "type" != 'Normal'  group by "type", "name", "reason" order by "Total" desc

Major Pod Event Statistics. The associated query and analysis statement is:

SELECT "type" as "Level", "name" as "Type",  count(1) as "Total", "reason" as "Details"  from log where "type" != 'Normal'  and "resource_kind" = 'Pod' group by  "type",  "name", "reason" order by "Total" desc

Latest 100 Events. The associated query and analysis statement is:

select TIME_FORMAT( __time, 'yyyy-MM-dd HH:mm:ss', '+08:00' ) as "Time","type" as "Level", "name" as "Type", "reason" as "Details", "namespace" as "Namespace" from log order by __time desc limit 100

Viewing CCE Logs: Kubernetes Event Center

Choose CCE Dashboard Templates under Dashboard Templates and click CCE Logs: Kubernetes Event Center to view the detailed charts.

Event Level: Select Warning or Normal.
Filter by event type. The associated query and analysis statement is:
```
select distinct("name")
```
Filter by cluster ID. The associated query and analysis statement is:
```
select distinct("cluster_id")
```
Filter by namespace. The associated query and analysis statement is:
```
select distinct("namespace") 
```
Filter by name. The associated query and analysis statement is:
```
select distinct("resource_name")
```

Conntrack Full. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( "total", 3600) as diff from( select count(1) as "total" from log where  "name"= 'ConntrackFull'  ) )

Event Sync Error. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( "total", 3600) as diff from( select count(1) as "total" from log where  "name"= 'NTPIsDown') )

Insufficient Node PIDs. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( "total", 3600) as diff from( select count(1) as "total" from log where  "name" in ('PIDPressure','NodeHasPIDPressure') ) )

Insufficient Node FDs. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( "total", 3600) as diff from( select count(1) as "total" from log where  "name"= 'NodeHasFDPressure') )

Insufficient Node Disk Space. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( "total", 3600) as diff from( select count(1) as "total" from log where  "name"= 'NodeHasDiskPressure') )

Pod OOM. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( "total", 3600) as diff from( select count(1) as "total" from log where   "reason" in ('OOMKilling','PodOOMKilling')) )

DockerHung. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( "total", 3600) as diff from( select count(1) as "total" from log where  "name"= 'Failed' and "reason" = 'DockerHung') )

Node Restart. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( "total", 3600) as diff from( select count(1) as "total" from log where  "name"= 'NodeRebooted') )

Pull Image Failed. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( "total", 3600) as diff from( select count(1) as "total" from log where  "name"= 'Failed' and "reason" = 'ImagePullBackOff') )

Node OOM. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( "total", 3600) as diff from( select count(1) as "total" from log where  "name" = 'SystemOOM') )

Start Pod Failed. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( "total", 3600) as diff from( select count(1) as "total" from log where  "name"= 'Failed' and "resource_kind" = 'Pod' and  "reason" = 'ImagePullBackOff') )

Event Distribution. The associated query and analysis statement is:
```
select "type", count(*) as "Events" group by "type"
```

Warning Event Trend. The associated query and analysis statement is:

select time_series(__time, 'PT1H', 'yyyy-MM-dd HH', '0') as "dt",count(1) as "count"  from log  where "type" = 'Warning'  group by "dt" order by "dt"

Error Event Trend. The associated query and analysis statement is:

select time_series(__time, 'PT1H', 'yyyy-MM-dd HH', '0') as "dt",count(1) as "count" from log  where "type" = 'Error' group by "dt" order by "dt"

Pod OOM Events. The associated query and analysis statement is:

select TIME_FORMAT( __time, 'yyyy-MM-dd HH:mm:ss', '+08:00') as "Time", "resource_kind" as "Event Target", "name" as "Type", "resource_name" as "Target Name", "reason" as "Details" from log where "name" in ('OOMKilling','PodOOMKilling') order by __time desc limit 100

Pod Driver Event List. The associated query and analysis statement is:

select TIME_FORMAT( __time, 'yyyy-MM-dd HH:mm:ss', '+08:00' ) as "Time", "resource_kind" as "Event Target", "name" as "Type", "resource_name" as "Target Name", "reason" as "Details" from log where "name" = 'NodeControllerEviction' order by __time desc limit 100

Major Events. The associated query and analysis statement is:

select TIME_FORMAT( __time, 'yyyy-MM-dd HH:mm:ss', '+08:00' ) as "Time", "type" as "Level", "resource_kind" as "Event Target", "name" as "Type", "resource_name" as "Target Name", "reason" as "Details" from log where "type" in ('Warning','Error') order by __time desc limit 100

Viewing CCE Logs: Aggregation Search

Choose CCE Dashboard Templates under Dashboard Templates and click CCE Logs: Aggregation Search to view the detailed charts.

Filter by namespace. The associated query and analysis statement is:
```
select distinct("objectRef.namespace")
```
Filter by user. The associated query and analysis statement is:
```
select distinct("user.username")
```
Filter by status code. The associated query and analysis statement is:
```
select distinct("responseStatus.code")
```
Filter by operation type. The associated query and analysis statement is:
```
select distinct("verb")
```
Filter by resource object. The associated query and analysis statement is:
```
select distinct("objectRef.name")
```
Filter by resource type. The associated query and analysis statement is:
```
select distinct("objectRef.resource")
```
Filter by request URL. The associated query and analysis statement is:
```
select distinct("requestURI")
```
Filter by userAgent. The associated query and analysis statement is:
```
select distinct("userAgent")
```

User Distribution Trend. The associated query and analysis statement is:

SELECT REPLACE(LEFT(stageTimestamp, 16),'T',' ') AS dt, "user.username" as "User", count(*) as "count" group by dt, "user.username" order by dt limit 10000

Namespace Trend. The associated query and analysis statement is:

SELECT REPLACE(LEFT(stageTimestamp, 16),'T',' ') AS dt, "objectRef.namespace" as "Namespace", count(*) as "count"  group by dt, "objectRef.namespace" order by dt limit 10000

Operation Type Trends. The associated query and analysis statement is:

SELECT REPLACE(LEFT(stageTimestamp, 16),'T',' ') AS dt, "objectRef.namespace" as "Namespace", count(*) as "count"  group by dt, "objectRef.namespace" order by dt limit 10000

Status Code Trend. The associated query and analysis statement is:

SELECT REPLACE(LEFT(stageTimestamp, 16),'T',' ') AS dt, cast("responseStatus.code" as varchar) as "Return code", count(*)  as "count" group by dt, "Return code" order by dt limit 10000

Resource Type Trend. The associated query and analysis statement is:

SELECT REPLACE(LEFT(stageTimestamp, 16),'T',' ') AS dt, "objectRef.resource" as "Resource type", count(*) as "count" group by dt, "objectRef.resource" order by dt limit 10000 SELECT REPLACE(LEFT(stageTimestamp, 16),'T',' ') AS dt, "objectRef.resource" as "Resource type", count(*) as "count" group by dt, "objectRef.resource" order by dt limit 10000

Major Operations. The associated query and analysis statement is:

select  "auditID" AS "Audit ID", "verb" AS "Operation Type", "requestReceivedTimestamp" AS "Started", "stageTimestamp" AS "Ended", "user.username" AS "Operator", "sourceIPs" AS "Operation Source","userAgent","objectRef.namespace" AS "Namespace", CONCAT(CONCAT("objectRef.resource", '/'), "objectRef.subresource") AS "Operation Object", "objectRef.name" AS "Resource Name", "responseStatus.code" AS "Return Code"

Viewing CCE Logs: Account Operations

Choose CCE Dashboard Templates under Dashboard Templates and click CCE Logs: Account Operations to view the detailed charts.

Filter by username. The associated query and analysis statement is:
```
select distinct("user.username")
```
Filter by namespace. The associated query and analysis statement is:
```
select distinct("objectRef.namespace")
```
Filter by status code. The associated query and analysis statement is:
```
select distinct("responseStatus.code")
```

Resources Created. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( total , 86400) as diff from( select count(1) as total from log where "verb" = 'create') )

Resources Modified. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( total , 86400) as diff from( select count(*)   as "total" from log where "verb" in ('update','patch')) )

Resources Deleted. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( total , 86400) as diff from( select count(*)   as "total" from log where "verb" = 'delete') )

Affected Namespaces. The associated query and analysis statement is:

select case when "objectRef.namespace" is null then '_all__' else "objectRef.namespace" end as ns, count(1) as total group by  ns  limit 10000

Deleted Resource. The associated query and analysis statement is:

SELECT "objectRef.resource" as "resource", count(1) as "count" where  "verb" = 'delete' group by "resource"

Operation History. The associated query and analysis statement is:

select case  when "Operation" is null then 'None' else "Operation" end as "Operation", "Time", v from  (select concat(CASE WHEN "objectRef.subresource" is null then "objectRef.resource" else "objectRef.subresource"  end, '[', verb, ']'  ) as "Operation", time_series(__time, 'PT1H', 'yyyy-MM-dd HH', '0') as "Time", count(1) as v  from  log where "verb" in ('create', 'patch',  'update', 'delete')  group by "Operation", "Time" order by "Time" desc  limit  10000  )

Resource Operations. The associated query and analysis statement is:

select CASE WHEN "objectRef.subresource" is null then "objectRef.resource" else "objectRef.subresource" end as "Resource", verb as "Operation", count(1) as total where "verb" in ('create','update','patch','delete') group by "Resource", "Operation" limit 10000

Created Resources. The associated query and analysis statement is:

SELECT "auditID" as "Event ID", time_format("__time",'yyyy-MM-dd HH:mm:ss') as "Occurred", "requestURI" as "Resource", "objectRef.name" as "Resource Name", "responseStatus.code" as "Status Code","sourceIPs" as "Source IP", "requestObject" as "Details" where "verb" = 'create' order by __time desc limit 1000

Modified Resources. The associated query and analysis statement is:

SELECT auditID as "Event ID", time_format("__time",'yyyy-MM-dd HH:mm:ss') as "Occurred","requestURI" as "Resource", "objectRef.name" as "Resource Name", "responseStatus.code" as "Status Code","sourceIPs" as "Source IP", requestObject as "Details" where "verb" in ('upate','patch') order by __time desc limit 1000

Accessed Resources. The associated query and analysis statement is:

SELECT auditID as "Event ID", time_format("__time",'yyyy-MM-dd HH:mm:ss') as "Occurred", "requestURI" as "Resource", "objectRef.name" as "Resource Name", "responseStatus.code" as "Status Code","sourceIPs" as "Source IP", requestObject as "Details" where "verb" in ('get','list') order by __time desc limit 1000

Deleted Resources. The associated query and analysis statement is:

SELECT auditID as "Event ID", time_format("__time",'yyyy-MM-dd HH:mm:ss') as "Occurred", "requestURI" as "Resource", "objectRef.name" as "Resource Name", "responseStatus.code" as "Status Code","sourceIPs" as "Source IP", requestObject as "Details" where "verb" = 'delete' order by __time desc limit 1000

Viewing CCE Log Audit Center

Choose CCE Dashboard Templates under Dashboard Templates and click CCE Log Audit Center to view the detailed charts.

Filter by namespace. The associated query and analysis statement is:
```
select distinct("objectRef.namespace")
```
Filter by user. The associated query and analysis statement is:
```
select distinct("user.username")
```
Filter by operation type. The associated query and analysis statement is:
```
select distinct("verb")
```
Filter by status code. The associated query and analysis statement is:
```
select distinct("responseStatus.code")
```
Filter by resource object. The associated query and analysis statement is:
```
select distinct("objectRef.name")
```
Filter by resource type. The associated query and analysis statement is:
```
select distinct("objectRef.resource")
```
Filter by request URL. The associated query and analysis statement is:
```
select distinct("requestURI")
```
Filter by UserAgent. The associated query and analysis statement is:
```
select distinct("userAgent")
```

Total Audit Records. The associated query and analysis statement is:

select diff[1] as "total" , round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( total , 86400) as diff from( select count(1) as total from log ) )

Users. The associated query and analysis statement is:

select diff[1] as "total" , round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc"  from (select compare( total , 86400) as diff from( select count(distinct("user.username")) as total from log ) )

Active Nodes. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( total , 86400) as diff from( select count(DISTINCT "user.username") as total     from log where "objectRef.resource" = 'nodes' and "objectRef.subresource" = 'status' and "verb" in ('update','put','patch') and "user.username" in ('node','system')) )

Abnormal Visits. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( total , 86400) as diff from( select count(1) as total from log where "responseStatus.code" >= 400) )

Sensitive Operations. The associated query and analysis statement is:

select diff[1] as "total" , round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( total , 86400) as diff from( select count(1)  as "total" from log where ("verb" = 'create' AND "objectRef.subresource" = 'exec') OR ("verb" = 'create' AND "objectRef.subresource" = 'attach' AND "objectRef.resource" = 'pods') OR ("objectRef.resource" = 'secrets' AND "verb"= 'get' AND ( "user.username" != 'apiserver') AND ("user.username" not like 'system:node:%')) OR ("verb"= 'delete' AND ( "user.username" not like 'system:node:%') AND ( "user.username" not like 'system:serviceaccount:kube-system:%') AND ( "user.username" != 'system:apiserve') AND ( "user.username" != 'system:apiserve') AND ( "user.username" != 'system:kube-scheduler') AND ("user.username" != 'system:kube-controller-manager'))) )

Creation Operations. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( total , 86400) as diff from( select count(1) as total from log where verb = 'create') )

Update Operations. The associated query and analysis statement is:

select diff[1] as "total" , round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc"  from (select compare( total , 86400) as diff from( select count(1) as total from log where verb in ('update','patch')) )

Deletion Operations. The associated query and analysis statement is:

select diff[1] as "total", round((diff[1] - diff[2]) / diff[2] * 100 , 2 ) as "inc" from (select compare( total , 86400) as diff from( select count(1) as total from log where verb = 'delete') )

Users. The associated query and analysis statement is:

select "user.username" as "Username", count(*) as "count"  group by "Username" order by "count" desc

Namespaces. The associated query and analysis statement is:

select "objectRef.namespace" as "Namespace", count(*) as "count"  group by "Namespace"

Resource Types. The associated query and analysis statement is:

select "objectRef.resource" as "Resource type", count(*) as "count"  group by "Resource type" order by "count" desc limit 20

Operation Types. The associated query and analysis statement is:

select verb as "Operation type", count(*) as "count" group by "Operation type" order by "count" desc

Node Operations. The associated query and analysis statement is:

select "verb" as "Operation type", count(*) as "count" where  "objectRef.resource" = 'nodes' AND ("verb" in ('create','delete') ) group by "Operation type" order by "count" desc

Workload Operations. The associated query and analysis statement is:

select "verb" as "Operation type", count(*) as "count" where "verb" in ('create', 'delete') and "objectRef.resource" in ('deployments','statefulsets','daemonsets','jobs','cronjobs') group by "Operation type" order by "count" desc

Service/Ingress Operations. The associated query and analysis statement is:

select "verb" as "Operation type", count(*) as "count" where "verb" in ('create', 'delete') and "objectRef.resource" in ('ingressess','services') group by "verb"  order by "count" desc

Major Operation Trend. The associated query and analysis statement is:

SELECT REPLACE(LEFT("stageTimestamp", 16),'T',' ') AS "dt", "verb", count(*) as "count" where "verb" in ('create','delete','update','patch') group by "dt", "verb" order by "dt" limit 10000

Non-System User Operation Trend. The associated query and analysis statement is:

SELECT REPLACE(LEFT("stageTimestamp", 16),'T',' ') AS "dt", count(*) as "count", "user.username" as "Username" where "user.username" not in ('kube-controller-manager','kube-apiserver-kubelet-client','system','apiserver') group by "dt", "Username" order by "dt" limit 10000

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