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Monitoring Metrics for Logstash Clusters in Cloud Eye

Updated on 2024-09-14 GMT+08:00

You can use Cloud Eye to monitor cluster metrics of CSS in real time and quickly handle exceptions.

Function

This section describes CSS metrics that can be monitored by Cloud Eye as well as their namespaces and dimensions. You can use the management console or APIs provided by Cloud Eye to view the monitoring metrics and alarms generated for CSS.

NOTE:
  • If the configuration center of a Logstash cluster does not have any records of operations on the pipeline list, the monitoring records of this Logstash cluster are empty.
  • When the Events data of a pipeline changes dynamically, the monitoring data changes accordingly. When a pipeline task is being started or stopped, or the Events data is stable, the monitoring data remains unchanged.

Namespaces

SYS.ES

CSS.CUSTOM

Cluster Monitoring Metrics

  • Table 1 describes the monitoring metrics of CSS clusters.
  • Monitored object: CSS clusters This section describes the monitoring metrics for Logstash clusters.
  • Monitoring period (original metric): 1 minute
NOTE:

Accumulated value: The value is accumulated from the time when a node is started. After the node is restarted, the value is reset to zero and accumulated again.

Table 1 CSS metrics

Metric ID

Metric

Description

Value Range

max_jvm_heap_usage

Max. JVM Heap Usage

Maximum JVM heap usage of nodes in a CSS cluster

Unit: %

0-100%

max_jvm_young_gc_time

Max. JVM Young GC Duration

Maximum accumulated JVM Young GC duration of nodes in a CSS cluster

Unit: ms

≥ 0 ms

max_jvm_young_gc_count

Max. JVM Young GC Count

Maximum accumulated JVM Young GC count of nodes in a CSS cluster

≥ 0

max_jvm_old_gc_time

Max. JVM Old GC Duration

Maximum accumulated JVM Old GC duration of nodes in a CSS cluster

Unit: ms

≥ 0 ms

max_jvm_old_gc_count

Max. JVM Old GC Count

Maximum accumulated JVM Old GC count of nodes in a CSS cluster.

≥ 0

max_cpu_usage

Max. CPU Usage

Maximum node CPU usage in a CSS cluster

Unit: %

0-100%

max_load_average

Max. Node Load

Maximum number of average queued tasks per minute on nodes in a cluster

≥ 0

avg_cpu_usage

Avg. CPU Usage

Average node CPU usage in a CSS cluster.

Unit: %

0-100%

avg_load_average

Avg. Node Load

Average number of queued tasks per minute on nodes in a CSS cluster

≥ 0

avg_jvm_heap_usage

Avg. JVM Heap Usage

Average node JVM heap usage in a CSS cluster

Unit: %

0-100%

avg_jvm_old_gc_count

Avg. GCs of Old-Generation JVM

Average number of old-generation garbage collections of nodes in a CSS cluster

≥ 0

avg_jvm_old_gc_time

Avg. GC Duration of Old-Generation JVM

Average old-generation garbage collection duration of nodes in a CSS cluster

Unit: ms

≥ 0 ms

avg_jvm_young_gc_count

Avg. GCs of Young-Generation JVM

Average number of young-generation garbage collections of nodes in a CSS cluster

≥ 0

avg_jvm_young_gc_time

Avg. GC Duration of Young-Generation JVM

Average young-generation garbage collection duration of nodes in a CSS cluster

Unit: ms

≥ 0 ms

sum_events_in

Total Records Passed Through the Input Plug-in

Total number of records that have passed through the input plugin on all the nodes in a cluster

≥ 0

sum_events_filtered

Total Records Passed Through the Filtered Plug-in

Total number of records that have passed through the filtered plugin on all the nodes in a cluster

≥ 0

sum_events_out

Total Records Passed Through the Out Plug-in

Total number of records that have passed through the out plugin on all the nodes in a cluster

≥ 0

Node Monitoring Metrics

  • Table 2 describes the monitoring metrics of CSS cluster nodes.
  • Monitored object: Cloud service nodes of CSS clusters
  • Monitoring period (original metric): 1 minute
Table 2 CSS node monitoring metrics

Metric ID

Metric

Description

Value Range

jvm_heap_usage

JVM Heap Usage

JVM heap memory usage of a node.

Unit: %

0-100%

cpu_usage

CPU Usage

CPU usage.

Unit: %

0-100%

load_average

Average Load

Average number of queued tasks per minute on a node

≥ 0

jvm_old_gc_count

Total GCs of Old-Generation JVM

Number of old-generation garbage collection times

≥ 0

jvm_old_gc_time

Total GC Duration of Old-Generation JVM

Time spent on old-generation garbage collection

Unit: ms

≥ 0 ms

jvm_young_gc_count

Total GCs of Young-Generation JVM

Number of young-generation garbage collection times

≥ 0

jvm_young_gc_time

GC Duration of Young-Generation JVM

Time spent on young-generation garbage collection

Unit: ms

≥ 0 ms

events_in

Records Passed Through the Input Plug-in on Node

Number of data records that have passed through the input plugin on the current node

≥ 0

events_filtered

Records Passed Through the Filtered Plug-in on Node

Number of records that have passed through the filtered plugin on the current node

≥ 0

events_out

Records Passed Through the Out Plug-in on Node

Number of records that have passed through the out plugin on the current node

≥ 0

Logstash Pipeline Monitoring Metrics

  • Table 3 describes the monitoring metrics of Logstash pipelines.
  • Monitored object: Logstash pipelines used in CSS clusters
  • Monitoring period (original metric): 1 minute
Table 3 Logstash pipeline monitoring metrics

Metric ID

Metric

Description

Value Range

logstash_pipeline_events_in

Records Passed Through the Input Plug-in into Pipeline

Number of records that have passed through the input plug-in during the current pipeline monitoring period

≥ 0

logstash_pipeline_events_filtered

Records Filtered for Pipeline

Number of records that have passed through the filtered plug-in during the current pipeline monitoring period

≥ 0

logstash_pipeline_events_out

Records Passed Through the Out Plug-in Out of Pipeline

Number of records that have passed through the out plug-in during the current pipeline monitoring period

≥ 0

Dimension

Table 4 Dimension description

Key

Value

cluster_id

CSS cluster

cluster_id,instance_id

CSS cluster node

cluster_id,instance_id,pipeline_name

Logstash pipeline name, node, CSS cluster

cluster_id,pipeline_name

Logstash pipeline name, CSS cluster

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