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KeyDescription
container_typeThe type of container: regular, mixed, or null.
downLists all the JCC nodes that were in down state and not processing requests when the API request was made​. Each item in the list is a map containing more details about the container. For example, a message is returned under alerts if your Snaplex version is deprecated and needs to be updated.
runningLists all the containers that were in running state when the API request was made. Each item in the list is a map containing more details about the container (JCC node).


The API response provides detailed data for each JCC node (in down or running state) as indicated below:

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KeyDescription
active_threadThe total thread count of the VM.

broker_name

The name of the broker in the FeedMaster.
container_type​The type of container: regular or FeedMaster​.
cpu_userThe CPU load at the time of collecting the cc_info stats from the JCC node. The value is stated as a percentage and is stated as in decimal form. The value may represent less than 1 percent of overall system CPU usage at the time of the API call.
current_loadThe number of current active Pipelines.
disabled_notification

If true, then the notifications related to the concerned JCC node are not sent (even to the default recipient). Default: False.

dynamic_settingsSnaplex settings that are resolved at runtime. As of now, it displays only log settings associated with the Snaplex.
environmentThe name of the environment to which the Snaplex belongs. This detail is taken from the data you provided when you created the Snaplex in SnapLogic.
feed_master_load_balancer

The load balancer being used to send tasks to the FeedMaster configured with the Snaplex. If configured, requests are sent first to the load balancer (instead of directly to the FeedMaster).

Note

It is possible to configure more than one FeedMaster to a Snaplex. In that configuration, you may want to put a load balancer in front of the FeedMasters, so that the requests are automatically distributed.


generationThe unique identifier used to lease slots on the JCC node (not applicable to a FeedMaster).
instance_idThe unique identifier of this Snaplex.
jcc_load_balancer

The load balancer being used to send tasks to the JCC node. If configured, requests are first sent to the load balancer (instead of directly to this JCC node).

labelThe name of the Snaplex.
location

The location of the Snaplex: cloud if it is a Cloudplex, or sidekick if it is a Groundplex. 

max_execution_timeThe longest execution time of a Pipelines in the Snaplex.
max_memThe maximum percentage of memory that the Snaplex can use.
max_slotsThe maximum slots that this Snaplex supports.
mean_execution_timeThe mean execution time of Pipelines in the Snaplex.
mem_used 

The memory load at the time of collecting the cc info from the JCC node. The value is stated as a percentage and is stated as in decimal form. The value may represent less than 1 percent of overall system memory is used when you make this API call.

memory_percent_usageThe percentage of memory used in a FeedMaster by a broker.
min_execution_timeThe shortest execution time of a Pipelines in the Snaplex.
min_jccThe minimum number of JCCs that should be running at any time.
node_settingsAdditional settings associated with this Snaplex (HTTP, HTTPS proxy, Jetty, and heap settings).
notificationEmail addresses to which Snaplex notifications are sent.
open_file_descriptorsThe keys to files. 
orgThe name of the org to which the Snaplex belongs.
ownerThe owner of the Snaplex.
pathThe path of the Snaplex.
pkg_version

The SnapLogic release version that the JCC supports.

queue_size

The maximum number of Pipelines queued for a Snaplex.

rejected_requestsThe number of rejected API requests.
request_response

The REST API request and response metrics from the metrics registry. 

The key includes the following subfields:

  • request_meter: The number of requests and the mean rate at which requests have occurred since the meter was created.
  • response_timer: Includes the number of responses and the total minimum, maximum, and mean times in milliseconds of processing each incoming request and return response.
reserved_slotsThe number of slots that the Snaplex should reserve for pipelines run from the SnapLogic UI. Triggered, Ultra Tasks, and Scheduled Tasks do not use these slots.

restart_max_waiting_time

The maximum amount of time for which the Snaplex should wait for Pipelines to finish before restarting. This setting is applicable only after a Snaplex restart is triggered through the UI.

restart_request_time

The timestamp at the time of the most recent Snaplex restart.

restart_request_user

The user who last restarted the Snaplex. A Snaplex rolling restart can be triggered from the Dashboard or when a Snaplex version is changed.

runtime_path_id

An internal identifier for the Snaplex that is used by SnapLogic.

slow_queue

A message queue is too slow, dropping all new requests.

stddev_exec_time_ms

The standard deviation of execution time.

system_load_average


System CPU load normalized by the number of available CPUs.

timed_out_requests

The number of timed out requests.

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MetricDescriptionResponse of API Format
Active Pipelines in a JCC node

Returns a list of runtimes (RUUIDs) from running Pipelines.

Note

Metrics for Active Pipelines do not display in all Stats collections in the API response. For details about Pipeline processing, see the Active Threads metric.


<Snaplex_name>.cc_info.running[].cc_load.stats.active_pipelines
Slots in use in a JCC nodeReturns the number of slots in use.<Snaplex_name>.cc_info.running[].stats.slots_in_use
Memory usedReturn the absolute value of memory usage in bytes.<Snaplex_name>.cc_info.running[].stats.mem_used_absolute
CPU usedReturns the percentage of CPU usage.<Snaplex_name>.cc_info.running[].stats.cpu_user
Disk usedReturns the percentage of disk space used.<Snaplex_name>.cc_info.running[].stats.disk_info[...]

Open file descriptorsReturns the number of open file descriptors.<Snaplex_name>.cc_info.running[].stats.open_file_descriptors
Active threadsReturns the number of active threads.<plex_name>.cc_info.running[].stats.active_threads

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