elasticsearch/files/elasticsearch.yml - salt-formulas/elasticsearch - Gitiles

 {%- from "elasticsearch/map.jinja" import server with context %}

 ##################### Elasticsearch Configuration Example #####################

 # This file contains an overview of various configuration settings,
 # targeted at operations staff. Application developers should
 # consult the guide at <http://elasticsearch.org/guide>.
 #
 # The installation procedure is covered at
 # <http://elasticsearch.org/guide/en/elasticsearch/reference/current/setup.html>.
 #
 # Elasticsearch comes with reasonable defaults for most settings,
 # so you can try it out without bothering with configuration.
 #
 # Most of the time, these defaults are just fine for running a production
 # cluster. If you're fine-tuning your cluster, or wondering about the
 # effect of certain configuration option, please _do ask_ on the
 # mailing list or IRC channel [http://elasticsearch.org/community].

 # Any element in the configuration can be replaced with environment variables
 # by placing them in ${...} notation. For example:
 #
 # node.rack: ${RACK_ENV_VAR}

 # For information on supported formats and syntax for the config file, see
 # <http://elasticsearch.org/guide/en/elasticsearch/reference/current/setup-configuration.html>


 ################################### Cluster ###################################

 # Cluster name identifies your cluster for auto-discovery. If you're running
 # multiple clusters on the same network, make sure you're using unique names.
 #
 # cluster.name: elasticsearch
 {%- if server.clustername is defined %}

 cluster.name: {{ server.clustername }}

 {% endif %}
 #################################### Node #####################################

 # Node names are generated dynamically on startup, so you're relieved
 # from configuring them manually. You can tie this node to a specific name:
 #
 # node.name: "Franz Kafka"

 # Every node can be configured to allow or deny being eligible as the master,
 # and to allow or deny to store the data.
 #
 # Allow this node to be eligible as a master node (enabled by default):
 #
 # node.master: true
 #
 # Allow this node to store data (enabled by default):
 #
 # node.data: true

 # You can exploit these settings to design advanced cluster topologies.
 #
 # 1. You want this node to never become a master node, only to hold data.
 #    This will be the "workhorse" of your cluster.
 #
 # node.master: false
 # node.data: true
 #
 # 2. You want this node to only serve as a master: to not store any data and
 #    to have free resources. This will be the "coordinator" of your cluster.
 #
 # node.master: true
 # node.data: false
 #
 # 3. You want this node to be neither master nor data node, but
 #    to act as a "search load balancer" (fetching data from nodes,
 #    aggregating results, etc.)
 #
 # node.master: false
 # node.data: false

 # Use the Cluster Health API [http://localhost:9200/_cluster/health], the
 # Node Info API [http://localhost:9200/_nodes] or GUI tools
 # such as <http://www.elasticsearch.org/overview/marvel/>,
 # <http://github.com/karmi/elasticsearch-paramedic>,
 # <http://github.com/lukas-vlcek/bigdesk> and
 # <http://mobz.github.com/elasticsearch-head> to inspect the cluster state.

 # A node can have generic attributes associated with it, which can later be used
 # for customized shard allocation filtering, or allocation awareness. An attribute
 # is a simple key value pair, similar to node.key: value, here is an example:
 #
 # node.rack: rack314

 # By default, multiple nodes are allowed to start from the same installation location
 # to disable it, set the following:
 # node.max_local_storage_nodes: 1


 #################################### Index ####################################

 # You can set a number of options (such as shard/replica options, mapping
 # or analyzer definitions, translog settings, ...) for indices globally,
 # in this file.
 #
 # Note, that it makes more sense to configure index settings specifically for
 # a certain index, either when creating it or by using the index templates API.
 #
 # See <http://elasticsearch.org/guide/en/elasticsearch/reference/current/index-modules.html> and
 # <http://elasticsearch.org/guide/en/elasticsearch/reference/current/indices-create-index.html>
 # for more information.

 # Set the number of shards (splits) of an index (5 by default):
 #
 # index.number_of_shards: 5

 # Set the number of replicas (additional copies) of an index (1 by default):
 #
 # index.number_of_replicas: 1

 # Note, that for development on a local machine, with small indices, it usually
 # makes sense to "disable" the distributed features:
 #
 # index.number_of_shards: 1
 # index.number_of_replicas: 0

 # These settings directly affect the performance of index and search operations
 # in your cluster. Assuming you have enough machines to hold shards and
 # replicas, the rule of thumb is:
 #
 # 1. Having more *shards* enhances the _indexing_ performance and allows to
 #    _distribute_ a big index across machines.
 # 2. Having more *replicas* enhances the _search_ performance and improves the
 #    cluster _availability_.
 #
 # The "number_of_shards" is a one-time setting for an index.
 #
 # The "number_of_replicas" can be increased or decreased anytime,
 # by using the Index Update Settings API.
 #
 # Elasticsearch takes care about load balancing, relocating, gathering the
 # results from nodes, etc. Experiment with different settings to fine-tune
 # your setup.

 # Use the Index Status API (<http://localhost:9200/A/_status>) to inspect
 # the index status.


 #################################### Paths ####################################

 # Path to directory containing configuration (this file and logging.yml):
 #
 # path.conf: /path/to/conf

 # Path to directory where to store index data allocated for this node.
 #
 # path.data: /path/to/data
 #
 # Can optionally include more than one location, causing data to be striped across
 # the locations (a la RAID 0) on a file level, favouring locations with most free
 # space on creation. For example:
 #
 # path.data: /path/to/data1,/path/to/data2

 # Path to temporary files:
 #
 # path.work: /path/to/work

 # Path to log files:
 #
 # path.logs: /path/to/logs

 # Path to where plugins are installed:
 #
 # path.plugins: /path/to/plugins


 #################################### Plugin ###################################

 # If a plugin listed here is not installed for current node, the node will not start.
 #
 # plugin.mandatory: mapper-attachments,lang-groovy


 ################################### Memory ####################################

 # Elasticsearch performs poorly when JVM starts swapping: you should ensure that
 # it _never_ swaps.
 #
 # Set this property to true to lock the memory:
 #
 # bootstrap.mlockall: true

 # Make sure that the ES_MIN_MEM and ES_MAX_MEM environment variables are set
 # to the same value, and that the machine has enough memory to allocate
 # for Elasticsearch, leaving enough memory for the operating system itself.
 #
 # You should also make sure that the Elasticsearch process is allowed to lock
 # the memory, eg. by using `ulimit -l unlimited`.


 ############################## Network And HTTP ###############################

 # Elasticsearch, by default, binds itself to the 0.0.0.0 address, and listens
 # on port [9200-9300] for HTTP traffic and on port [9300-9400] for node-to-node
 # communication. (the range means that if the port is busy, it will automatically
 # try the next port).

 # Set the bind address specifically (IPv4 or IPv6):
 #
 #
 network.bind_host: {{ server.bind.address }}
 http.port: {{ server.bind.port }}
 http.enabled: true
 # Set the address other nodes will use to communicate with this node. If not
 # set, it is automatically derived. It must point to an actual IP address.
 #
 # network.publish_host: 192.168.0.1

 # Set both 'bind_host' and 'publish_host':
 #
 # network.host: 192.168.0.1

 # Set a custom port for the node to node communication (9300 by default):
 #
 # transport.tcp.port: 9300

 # Enable compression for all communication between nodes (disabled by default):
 #
 # transport.tcp.compress: true

 # Set a custom port to listen for HTTP traffic:
 #
 # http.port: 9200

 # Set a custom allowed content length:
 #
 # http.max_content_length: 100mb

 # Disable HTTP completely:
 #
 # http.enabled: false


 ################################### Gateway ###################################

 # The gateway allows for persisting the cluster state between full cluster
 # restarts. Every change to the state (such as adding an index) will be stored
 # in the gateway, and when the cluster starts up for the first time,
 # it will read its state from the gateway.

 # There are several types of gateway implementations. For more information, see
 # <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-gateway.html>.

 # The default gateway type is the "local" gateway (recommended):
 #
 # gateway.type: local

 # Settings below control how and when to start the initial recovery process on
 # a full cluster restart (to reuse as much local data as possible when using shared
 # gateway).

 # Allow recovery process after N nodes in a cluster are up:
 #
 # gateway.recover_after_nodes: 1

 # Set the timeout to initiate the recovery process, once the N nodes
 # from previous setting are up (accepts time value):
 #
 # gateway.recover_after_time: 5m

 # Set how many nodes are expected in this cluster. Once these N nodes
 # are up (and recover_after_nodes is met), begin recovery process immediately
 # (without waiting for recover_after_time to expire):
 #
 # gateway.expected_nodes: 2


 ############################# Recovery Throttling #############################

 # These settings allow to control the process of shards allocation between
 # nodes during initial recovery, replica allocation, rebalancing,
 # or when adding and removing nodes.

 # Set the number of concurrent recoveries happening on a node:
 #
 # 1. During the initial recovery
 #
 # cluster.routing.allocation.node_initial_primaries_recoveries: 4
 #
 # 2. During adding/removing nodes, rebalancing, etc
 #
 # cluster.routing.allocation.node_concurrent_recoveries: 2

 # Set to throttle throughput when recovering (eg. 100mb, by default 20mb):
 #
 # indices.recovery.max_bytes_per_sec: 20mb

 # Set to limit the number of open concurrent streams when
 # recovering a shard from a peer:
 #
 # indices.recovery.concurrent_streams: 5


 ################################## Discovery ##################################

 # Discovery infrastructure ensures nodes can be found within a cluster
 # and master node is elected. Multicast discovery is the default.

 # Set to ensure a node sees N other master eligible nodes to be considered
 # operational within the cluster. Its recommended to set it to a higher value
 # than 1 when running more than 2 nodes in the cluster.
 #
 # discovery.zen.minimum_master_nodes: 1

 # Set the time to wait for ping responses from other nodes when discovering.
 # Set this option to a higher value on a slow or congested network
 # to minimize discovery failures:
 #
 # discovery.zen.ping.timeout: 3s

 # For more information, see
 # <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-discovery-zen.html>

 # Unicast discovery allows to explicitly control which nodes will be used
 # to discover the cluster. It can be used when multicast is not present,
 # or to restrict the cluster communication-wise.
 #
 # 1. Disable multicast discovery (enabled by default):
 #
 # discovery.zen.ping.multicast.enabled: false
 #
 # 2. Configure an initial list of master nodes in the cluster
 #    to perform discovery when new nodes (master or data) are started:
 #
 # discovery.zen.ping.unicast.hosts: ["host1", "host2:port"]

 # EC2 discovery allows to use AWS EC2 API in order to perform discovery.
 #
 # You have to install the cloud-aws plugin for enabling the EC2 discovery.
 #
 # For more information, see
 # <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-discovery-ec2.html>
 #
 # See <http://elasticsearch.org/tutorials/elasticsearch-on-ec2/>
 # for a step-by-step tutorial.

 # GCE discovery allows to use Google Compute Engine API in order to perform discovery.
 #
 # You have to install the cloud-gce plugin for enabling the GCE discovery.
 #
 # For more information, see <https://github.com/elasticsearch/elasticsearch-cloud-gce>.

 # Azure discovery allows to use Azure API in order to perform discovery.
 #
 # You have to install the cloud-azure plugin for enabling the Azure discovery.
 #
 # For more information, see <https://github.com/elasticsearch/elasticsearch-cloud-azure>.

 ################################## Slow Log ##################################

 # Shard level query and fetch threshold logging.

 #index.search.slowlog.threshold.query.warn: 10s
 #index.search.slowlog.threshold.query.info: 5s
 #index.search.slowlog.threshold.query.debug: 2s
 #index.search.slowlog.threshold.query.trace: 500ms

 #index.search.slowlog.threshold.fetch.warn: 1s
 #index.search.slowlog.threshold.fetch.info: 800ms
 #index.search.slowlog.threshold.fetch.debug: 500ms
 #index.search.slowlog.threshold.fetch.trace: 200ms

 #index.indexing.slowlog.threshold.index.warn: 10s
 #index.indexing.slowlog.threshold.index.info: 5s
 #index.indexing.slowlog.threshold.index.debug: 2s
 #index.indexing.slowlog.threshold.index.trace: 500ms

 ################################## GC Logging ################################

 #monitor.jvm.gc.young.warn: 1000ms
 #monitor.jvm.gc.young.info: 700ms
 #monitor.jvm.gc.young.debug: 400ms

 #monitor.jvm.gc.old.warn: 10s
 #monitor.jvm.gc.old.info: 5s
 #monitor.jvm.gc.old.debug: 2s
	{%- from "elasticsearch/map.jinja" import server with context %}

	##################### Elasticsearch Configuration Example #####################

	# This file contains an overview of various configuration settings,
	# targeted at operations staff. Application developers should
	# consult the guide at <http://elasticsearch.org/guide>.
	#
	# The installation procedure is covered at
	# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/setup.html>.
	#
	# Elasticsearch comes with reasonable defaults for most settings,
	# so you can try it out without bothering with configuration.
	#
	# Most of the time, these defaults are just fine for running a production
	# cluster. If you're fine-tuning your cluster, or wondering about the
	# effect of certain configuration option, please _do ask_ on the
	# mailing list or IRC channel [http://elasticsearch.org/community].

	# Any element in the configuration can be replaced with environment variables
	# by placing them in ${...} notation. For example:
	#
	# node.rack: ${RACK_ENV_VAR}

	# For information on supported formats and syntax for the config file, see
	# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/setup-configuration.html>


	################################### Cluster ###################################

	# Cluster name identifies your cluster for auto-discovery. If you're running
	# multiple clusters on the same network, make sure you're using unique names.
	#
	# cluster.name: elasticsearch
	{%- if server.clustername is defined %}

	cluster.name: {{ server.clustername }}

	{% endif %}
	#################################### Node #####################################

	# Node names are generated dynamically on startup, so you're relieved
	# from configuring them manually. You can tie this node to a specific name:
	#
	# node.name: "Franz Kafka"

	# Every node can be configured to allow or deny being eligible as the master,
	# and to allow or deny to store the data.
	#
	# Allow this node to be eligible as a master node (enabled by default):
	#
	# node.master: true
	#
	# Allow this node to store data (enabled by default):
	#
	# node.data: true

	# You can exploit these settings to design advanced cluster topologies.
	#
	# 1. You want this node to never become a master node, only to hold data.
	# This will be the "workhorse" of your cluster.
	#
	# node.master: false
	# node.data: true
	#
	# 2. You want this node to only serve as a master: to not store any data and
	# to have free resources. This will be the "coordinator" of your cluster.
	#
	# node.master: true
	# node.data: false
	#
	# 3. You want this node to be neither master nor data node, but
	# to act as a "search load balancer" (fetching data from nodes,
	# aggregating results, etc.)
	#
	# node.master: false
	# node.data: false

	# Use the Cluster Health API [http://localhost:9200/_cluster/health], the
	# Node Info API [http://localhost:9200/_nodes] or GUI tools
	# such as <http://www.elasticsearch.org/overview/marvel/>,
	# <http://github.com/karmi/elasticsearch-paramedic>,
	# <http://github.com/lukas-vlcek/bigdesk> and
	# <http://mobz.github.com/elasticsearch-head> to inspect the cluster state.

	# A node can have generic attributes associated with it, which can later be used
	# for customized shard allocation filtering, or allocation awareness. An attribute
	# is a simple key value pair, similar to node.key: value, here is an example:
	#
	# node.rack: rack314

	# By default, multiple nodes are allowed to start from the same installation location
	# to disable it, set the following:
	# node.max_local_storage_nodes: 1


	#################################### Index ####################################

	# You can set a number of options (such as shard/replica options, mapping
	# or analyzer definitions, translog settings, ...) for indices globally,
	# in this file.
	#
	# Note, that it makes more sense to configure index settings specifically for
	# a certain index, either when creating it or by using the index templates API.
	#
	# See <http://elasticsearch.org/guide/en/elasticsearch/reference/current/index-modules.html> and
	# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/indices-create-index.html>
	# for more information.

	# Set the number of shards (splits) of an index (5 by default):
	#
	# index.number_of_shards: 5

	# Set the number of replicas (additional copies) of an index (1 by default):
	#
	# index.number_of_replicas: 1

	# Note, that for development on a local machine, with small indices, it usually
	# makes sense to "disable" the distributed features:
	#
	# index.number_of_shards: 1
	# index.number_of_replicas: 0

	# These settings directly affect the performance of index and search operations
	# in your cluster. Assuming you have enough machines to hold shards and
	# replicas, the rule of thumb is:
	#
	# 1. Having more shards enhances the _indexing_ performance and allows to
	# _distribute_ a big index across machines.
	# 2. Having more replicas enhances the _search_ performance and improves the
	# cluster _availability_.
	#
	# The "number_of_shards" is a one-time setting for an index.
	#
	# The "number_of_replicas" can be increased or decreased anytime,
	# by using the Index Update Settings API.
	#
	# Elasticsearch takes care about load balancing, relocating, gathering the
	# results from nodes, etc. Experiment with different settings to fine-tune
	# your setup.

	# Use the Index Status API (<http://localhost:9200/A/_status>) to inspect
	# the index status.


	#################################### Paths ####################################

	# Path to directory containing configuration (this file and logging.yml):
	#
	# path.conf: /path/to/conf

	# Path to directory where to store index data allocated for this node.
	#
	# path.data: /path/to/data
	#
	# Can optionally include more than one location, causing data to be striped across
	# the locations (a la RAID 0) on a file level, favouring locations with most free
	# space on creation. For example:
	#
	# path.data: /path/to/data1,/path/to/data2

	# Path to temporary files:
	#
	# path.work: /path/to/work

	# Path to log files:
	#
	# path.logs: /path/to/logs

	# Path to where plugins are installed:
	#
	# path.plugins: /path/to/plugins


	#################################### Plugin ###################################

	# If a plugin listed here is not installed for current node, the node will not start.
	#
	# plugin.mandatory: mapper-attachments,lang-groovy


	################################### Memory ####################################

	# Elasticsearch performs poorly when JVM starts swapping: you should ensure that
	# it _never_ swaps.
	#
	# Set this property to true to lock the memory:
	#
	# bootstrap.mlockall: true

	# Make sure that the ES_MIN_MEM and ES_MAX_MEM environment variables are set
	# to the same value, and that the machine has enough memory to allocate
	# for Elasticsearch, leaving enough memory for the operating system itself.
	#
	# You should also make sure that the Elasticsearch process is allowed to lock
	# the memory, eg. by using `ulimit -l unlimited`.


	############################## Network And HTTP ###############################

	# Elasticsearch, by default, binds itself to the 0.0.0.0 address, and listens
	# on port [9200-9300] for HTTP traffic and on port [9300-9400] for node-to-node
	# communication. (the range means that if the port is busy, it will automatically
	# try the next port).

	# Set the bind address specifically (IPv4 or IPv6):
	#
	#
	network.bind_host: {{ server.bind.address }}
	http.port: {{ server.bind.port }}
	http.enabled: true
	# Set the address other nodes will use to communicate with this node. If not
	# set, it is automatically derived. It must point to an actual IP address.
	#
	# network.publish_host: 192.168.0.1

	# Set both 'bind_host' and 'publish_host':
	#
	# network.host: 192.168.0.1

	# Set a custom port for the node to node communication (9300 by default):
	#
	# transport.tcp.port: 9300

	# Enable compression for all communication between nodes (disabled by default):
	#
	# transport.tcp.compress: true

	# Set a custom port to listen for HTTP traffic:
	#
	# http.port: 9200

	# Set a custom allowed content length:
	#
	# http.max_content_length: 100mb

	# Disable HTTP completely:
	#
	# http.enabled: false


	################################### Gateway ###################################

	# The gateway allows for persisting the cluster state between full cluster
	# restarts. Every change to the state (such as adding an index) will be stored
	# in the gateway, and when the cluster starts up for the first time,
	# it will read its state from the gateway.

	# There are several types of gateway implementations. For more information, see
	# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-gateway.html>.

	# The default gateway type is the "local" gateway (recommended):
	#
	# gateway.type: local

	# Settings below control how and when to start the initial recovery process on
	# a full cluster restart (to reuse as much local data as possible when using shared
	# gateway).

	# Allow recovery process after N nodes in a cluster are up:
	#
	# gateway.recover_after_nodes: 1

	# Set the timeout to initiate the recovery process, once the N nodes
	# from previous setting are up (accepts time value):
	#
	# gateway.recover_after_time: 5m

	# Set how many nodes are expected in this cluster. Once these N nodes
	# are up (and recover_after_nodes is met), begin recovery process immediately
	# (without waiting for recover_after_time to expire):
	#
	# gateway.expected_nodes: 2


	############################# Recovery Throttling #############################

	# These settings allow to control the process of shards allocation between
	# nodes during initial recovery, replica allocation, rebalancing,
	# or when adding and removing nodes.

	# Set the number of concurrent recoveries happening on a node:
	#
	# 1. During the initial recovery
	#
	# cluster.routing.allocation.node_initial_primaries_recoveries: 4
	#
	# 2. During adding/removing nodes, rebalancing, etc
	#
	# cluster.routing.allocation.node_concurrent_recoveries: 2

	# Set to throttle throughput when recovering (eg. 100mb, by default 20mb):
	#
	# indices.recovery.max_bytes_per_sec: 20mb

	# Set to limit the number of open concurrent streams when
	# recovering a shard from a peer:
	#
	# indices.recovery.concurrent_streams: 5


	################################## Discovery ##################################

	# Discovery infrastructure ensures nodes can be found within a cluster
	# and master node is elected. Multicast discovery is the default.

	# Set to ensure a node sees N other master eligible nodes to be considered
	# operational within the cluster. Its recommended to set it to a higher value
	# than 1 when running more than 2 nodes in the cluster.
	#
	# discovery.zen.minimum_master_nodes: 1

	# Set the time to wait for ping responses from other nodes when discovering.
	# Set this option to a higher value on a slow or congested network
	# to minimize discovery failures:
	#
	# discovery.zen.ping.timeout: 3s

	# For more information, see
	# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-discovery-zen.html>

	# Unicast discovery allows to explicitly control which nodes will be used
	# to discover the cluster. It can be used when multicast is not present,
	# or to restrict the cluster communication-wise.
	#
	# 1. Disable multicast discovery (enabled by default):
	#
	# discovery.zen.ping.multicast.enabled: false
	#
	# 2. Configure an initial list of master nodes in the cluster
	# to perform discovery when new nodes (master or data) are started:
	#
	# discovery.zen.ping.unicast.hosts: ["host1", "host2:port"]

	# EC2 discovery allows to use AWS EC2 API in order to perform discovery.
	#
	# You have to install the cloud-aws plugin for enabling the EC2 discovery.
	#
	# For more information, see
	# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-discovery-ec2.html>
	#
	# See <http://elasticsearch.org/tutorials/elasticsearch-on-ec2/>
	# for a step-by-step tutorial.

	# GCE discovery allows to use Google Compute Engine API in order to perform discovery.
	#
	# You have to install the cloud-gce plugin for enabling the GCE discovery.
	#
	# For more information, see <https://github.com/elasticsearch/elasticsearch-cloud-gce>.

	# Azure discovery allows to use Azure API in order to perform discovery.
	#
	# You have to install the cloud-azure plugin for enabling the Azure discovery.
	#
	# For more information, see <https://github.com/elasticsearch/elasticsearch-cloud-azure>.

	################################## Slow Log ##################################

	# Shard level query and fetch threshold logging.

	#index.search.slowlog.threshold.query.warn: 10s
	#index.search.slowlog.threshold.query.info: 5s
	#index.search.slowlog.threshold.query.debug: 2s
	#index.search.slowlog.threshold.query.trace: 500ms

	#index.search.slowlog.threshold.fetch.warn: 1s
	#index.search.slowlog.threshold.fetch.info: 800ms
	#index.search.slowlog.threshold.fetch.debug: 500ms
	#index.search.slowlog.threshold.fetch.trace: 200ms

	#index.indexing.slowlog.threshold.index.warn: 10s
	#index.indexing.slowlog.threshold.index.info: 5s
	#index.indexing.slowlog.threshold.index.debug: 2s
	#index.indexing.slowlog.threshold.index.trace: 500ms

	################################## GC Logging ################################

	#monitor.jvm.gc.young.warn: 1000ms
	#monitor.jvm.gc.young.info: 700ms
	#monitor.jvm.gc.young.debug: 400ms

	#monitor.jvm.gc.old.warn: 10s
	#monitor.jvm.gc.old.info: 5s
	#monitor.jvm.gc.old.debug: 2s