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Commit e804b23c authored by thl-cmk's avatar thl-cmk :flag_na:
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agent_based/checkpoint_asg_sg_counters.py 0 → 100644
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# License: GNU General Public License v2
#
# Author: thl-cmk[at]outlook[dot]com
# URL : https://thl-cmk.hopto.org
# Date : 2020-11-09
#
# Monitor Check Point Maestro SG Counters
#
# 2021-09-10: rewritten for CMK 2.0
# 2021-09-11: added metrics file
# 2021-09-29: renamed from checkpoint_asg_smo_counters to checkpoint_asg_sg_counters
#
# sample snmpwalk
# .1.3.6.1.4.1.2620.1.48.20.1.0 = STRING: "111802"
# .1.3.6.1.4.1.2620.1.48.20.2.0 = STRING: "0"
# .1.3.6.1.4.1.2620.1.48.20.3.0 = STRING: "84"
# .1.3.6.1.4.1.2620.1.48.20.4.0 = STRING: "91"
# .1.3.6.1.4.1.2620.1.48.20.5.0 = STRING: "N/A"
# .1.3.6.1.4.1.2620.1.48.20.6.0 = STRING: "0"
# .1.3.6.1.4.1.2620.1.48.20.7.0 = STRING: "0"
# .1.3.6.1.4.1.2620.1.48.20.8.0 = STRING: "9"
# .1.3.6.1.4.1.2620.1.48.20.9.0 = STRING: "79"
# .1.3.6.1.4.1.2620.1.48.20.10.0 = STRING: "1"
# .1.3.6.1.4.1.2620.1.48.20.11.0 = STRING: "0"
# .1.3.6.1.4.1.2620.1.48.20.12.0 = STRING: "0"
# .1.3.6.1.4.1.2620.1.48.20.13.0 = STRING: "0"
# .1.3.6.1.4.1.2620.1.48.20.14.0 = STRING: "1"
# .1.3.6.1.4.1.2620.1.48.20.15.0 = STRING: "0"
# .1.3.6.1.4.1.2620.1.48.20.16.0 = STRING: "7"
# .1.3.6.1.4.1.2620.1.48.20.17.0 = STRING: "0"
# .1.3.6.1.4.1.2620.1.48.20.18.0 = STRING: "0"
# .1.3.6.1.4.1.2620.1.48.20.19.0 = STRING: "0"
# .1.3.6.1.4.1.2620.1.48.20.20.0 = STRING: "0"
# .1.3.6.1.4.1.2620.1.48.20.21.0 = STRING: "N/A"
#
# sample string_table
# [
# [
# '111802', '0', '84', '91', 'N/A', '0', '0', '9', '79', '1', '0', '0', '0', '1', '0', '7', '0', '0', '0', '0', 'N/A'
# ]
# ]
#
from dataclasses import dataclass
from typing import Dict
from cmk.base.plugins.agent_based.agent_based_api.v1 import (
register,
Service,
Result,
Metric,
State,
SNMPTree,
all_of,
startswith,
any_of,
equals,
)
from cmk.base.plugins.agent_based.agent_based_api.v1.type_defs import (
DiscoveryResult,
CheckResult,
StringTable,
)
@dataclass
class CheckpointAsgSgCounters:
counters: Dict[str, int]
label: str
unit: str
text: str
def parse_checkpoint_asg_sg_counters(string_table: StringTable) -> Dict[str, CheckpointAsgSgCounters]:
items = {}
for entry in string_table:
asgThroughput, asgConnectionRate, asgPacketRate, asgConcurrConn, asgClearConn, asgAccelConnectionRate, \
asgNonAccelConnectionRate, asgAccelConcurrConn, asgNonAccelConcurrConn, asgLoad, asgAccelLoadAvg, \
asgAccelLoadMin, asgAccelLoadMax, asgInstancesLoadAvg, asgInstancesLoadMin, asgInstancesLoadMax, \
asgVpnThroughput, asgVpnConn, asgNatConnRate, asgNatConn, asgVsxCpu1MinAvg = entry
items['Concurrent connections'] = CheckpointAsgSgCounters(
counters={
'concurr_conn': int(asgConcurrConn),
'accel_concurr_conn': int(asgAccelConcurrConn),
'non_accel_concurr_conn': int(asgNonAccelConcurrConn),
},
label='all/accelerated/non accelerated',
unit=' connections',
text=f'{int(asgConcurrConn):d}/{int(asgAccelConcurrConn):d}/{int(asgNonAccelConcurrConn):d}',
)
items['Connection rate'] = CheckpointAsgSgCounters(
counters={
'connection_rate': int(asgConnectionRate),
'accel_connection_rate': int(asgAccelConnectionRate),
'non_accel_connection_rate': int(asgNonAccelConnectionRate),
},
label='current/average/min/max',
unit=' connections/s',
text=f'{int(asgLoad):d}/{int(asgAccelLoadAvg):d}/{int(asgAccelLoadMin):d}/{int(asgAccelLoadMax):d}',
)
items['Load'] = CheckpointAsgSgCounters(
counters={
'load': int(asgLoad),
'accel_load_avg': int(asgAccelLoadAvg),
'accel_load_min': int(asgAccelLoadMin),
'accel_load_max': int(asgAccelLoadMax),
},
label='current/average/min/max',
unit='%',
text=f'{int(asgLoad):d}/{int(asgAccelLoadAvg):d}/{int(asgAccelLoadMin):d}/{int(asgAccelLoadMax):d}',
)
items['Instances load'] = CheckpointAsgSgCounters(
counters={
'instances_load_avg': int(asgInstancesLoadAvg),
'instances_load_min': int(asgInstancesLoadMin),
'instances_load_max': int(asgInstancesLoadMax),
},
label='average/min/max',
unit='%',
text=f'{int(asgInstancesLoadAvg):d}/{int(asgInstancesLoadMin):d}/{int(asgInstancesLoadMax):d}',
)
items['NAT'] = CheckpointAsgSgCounters(
counters={
'nat_conn_rate': int(asgNatConnRate),
'nat_conn': int(asgNatConn),
},
label='NAT Connections/NAT connection rate',
unit=' connections',
text=f'{int(asgNatConn):d}/{int(asgNatConn):d}',
)
items['VPN'] = CheckpointAsgSgCounters(
counters={
'vpn_throughput': int(asgVpnThroughput),
'vpn_conn': int(asgVpnConn),
},
label='VPN Connections/VPN Throughput',
unit='',
text=f'{int(asgVpnConn):d}/{int(asgVpnThroughput):d}',
)
items['Throughput'] = CheckpointAsgSgCounters(
counters={
'throughput': int(asgThroughput),
},
label='Throughput',
unit=' Bytes/s',
text=f'{int(asgThroughput):d}'
)
items['Packet rate'] = CheckpointAsgSgCounters(
counters={
'packet_rate': int(asgPacketRate),
},
label='Packet Rate',
unit=' Packets/s',
text=f'{int(asgPacketRate):d}',
)
if items:
return items
def discovery_checkpoint_asg_sg_counters(section:Dict[str, CheckpointAsgSgCounters]) -> DiscoveryResult:
for item in section.keys():
yield Service(item=item)
def check_checkpoint_asg_sg_counters(item, params, section: Dict[str, CheckpointAsgSgCounters]) -> CheckResult:
try:
entry = section[item]
except KeyError:
yield Result(state=State.UNKNOWN, notice='Item not found in SNMP data')
return
for key in entry.counters.keys():
yield Metric(value=entry.counters[key], name=f'checkpoint_asg_sg_counters_{key}')
yield Result(state=State.OK, summary=f'{entry.label}: {entry.text}{entry.unit}')
register.snmp_section(
name='checkpoint_asg_sg_counters',
parse_function=parse_checkpoint_asg_sg_counters,
fetch=SNMPTree(
base='.1.3.6.1.4.1.2620.1.48.20', # CHECKPOINT-MIB::asgIPv4PerformanceCounters
oids=[
'1', # asgThroughput
'2', # asgConnectionRate
'3', # asgPacketRate
'4', # asgConcurrConn
'5', # asgClearConn
'6', # asgAccelConnectionRate
'7', # asgNonAccelConnectionRate
'8', # asgAccelConcurrConn
'9', # asgNonAccelConcurrConn
'10', # asgLoad
'11', # asgAccelLoadAvg
'12', # asgAccelLoadMin
'13', # asgAccelLoadMax
'14', # asgInstancesLoadAvg
'15', # asgInstancesLoadMin
'16', # asgInstancesLoadMax
'17', # asgVpnThroughput
'18', # asgVpnConn
'19', # asgNatConnRate
'20', # asgNatConn
'21', # asgVsxCpu1MinAvg
]
),
detect=any_of(
startswith('.1.3.6.1.2.1.1.2.0', '.1.3.6.1.4.1.2620'),
all_of(
equals('.1.3.6.1.2.1.1.2.0', '.1.3.6.1.4.1.8072.3.2.10'),
equals('.1.3.6.1.4.1.2620.1.6.1.0', 'SVN Foundation'),
)
)
)
register.check_plugin(
name='checkpoint_asg_sg_counters',
service_name='ASG SG counters %s',
discovery_function=discovery_checkpoint_asg_sg_counters,
check_function=check_checkpoint_asg_sg_counters,
check_ruleset_name='checkpoint_asg_sg_counters',
check_default_parameters={},
)
checkpoint_asg_sg_counters.mkp 0 → 100644
+ 0
− 0
View file @ e804b23c
File added
packages/checkpoint_asg_sg_counters 0 → 100644
+ 12
− 0
View file @ e804b23c
{'author': 'Th.L. (thl-cmk[at]outlook[dot]com)',
'description': 'Monitor Check Point Maestro SG performance counters\n',
'download_url': 'http://thl-cmk.hopto.org/',
'files': {'agent_based': ['checkpoint_asg_sg_counters.py'],
'web': ['plugins/metrics/checkpoint_asg_sg_counters.py']},
'name': 'checkpoint_asg_sg_counters',
'num_files': 2,
'title': 'Check Point Maestro SG performance counters',
'version': '20210929.v0.3',
'version.min_required': '2.0.0',
'version.packaged': '2021.09.20',
'version.usable_until': None}
\ No newline at end of file
web/plugins/metrics/checkpoint_asg_sg_counters.py 0 → 100644
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− 0
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
from cmk.gui.i18n import _
from cmk.gui.plugins.metrics import (
metric_info,
graph_info,
perfometer_info,
)
metric_info['checkpoint_asg_sg_counters_concurr_conn'] = {
'title': _('Connections'),
'unit': 'count',
'color': '26/a',
}
metric_info['checkpoint_asg_sg_counters_accel_concurr_conn'] = {
'title': _('Connections Accelerated'),
'unit': 'count',
'color': '32/a',
}
metric_info['checkpoint_asg_sg_counters_non_accel_concurr_conn'] = {
'title': _('Connections non Accelerated'),
'unit': 'count',
'color': '16/a',
}
metric_info['checkpoint_asg_sg_counters_connection_rate'] = {
'title': _('Connection Rate'),
'unit': '1/s',
'color': '26/a',
}
metric_info['checkpoint_asg_sg_counters_accel_connection_rate'] = {
'title': _('Connection Rate Accelerated'),
'unit': '1/s',
'color': '32/a',
}
metric_info['checkpoint_asg_sg_counters_non_accel_connection_rate'] = {
'title': _('Connection Rate non Accelerated'),
'unit': '1/s',
'color': '16/a',
}
metric_info['checkpoint_asg_sg_counters_load'] = {
'title': _('Load'),
'unit': '%',
'color': '26/a',
}
metric_info['checkpoint_asg_sg_counters_accel_load_max'] = {
'title': _('Accel load (max)'),
'unit': '%',
'color': '31/a',
}
metric_info['checkpoint_asg_sg_counters_accel_load_avg'] = {
'title': _('Accel load (avg)'),
'unit': '%',
'color': '16/a',
}
metric_info['checkpoint_asg_sg_counters_accel_load_min'] = {
'title': _('Accel load (min)'),
'unit': '%',
'color': '11/a',
}
metric_info['checkpoint_asg_sg_counters_instances_load_avg'] = {
'title': _('Instances load (avg)'),
'unit': '%',
'color': '26/a',
}
metric_info['checkpoint_asg_sg_counters_instances_load_min'] = {
'title': _('Instances load (min)'),
'unit': '%',
'color': '32/a',
}
metric_info['checkpoint_asg_sg_counters_instances_load_max'] = {
'title': _('Instances load (max)'),
'unit': '%',
'color': '16/a',
}
metric_info['checkpoint_asg_sg_counters_nat_conn'] = {
'title': _('NAT connections'),
'unit': 'count',
'color': '26/a',
}
metric_info['checkpoint_asg_sg_counters_nat_conn_rate'] = {
'title': _('NAT Conn Rate'),
'unit': '1/s',
'color': '32/a',
}
metric_info['checkpoint_asg_sg_counters_vpn_conn'] = {
'title': _('VPN connections'),
'unit': 'count',
'color': '26/a',
}
metric_info['checkpoint_asg_sg_counters_vpn_throughput'] = {
'title': _('VPN Throughput'),
'unit': 'bytes/s',
'color': '32/a',
}
metric_info['checkpoint_asg_sg_counters_throughput'] = {
'title': _('Throughput'),
'unit': 'bytes/s',
'color': '26/a',
}
metric_info['checkpoint_asg_sg_counters_packet_rate'] = {
'title': _('Packet Rate'),
'unit': '1/s',
'color': '26/a',
}
graph_info['checkpoint_asg_sg_counters_connections'] = {
'title': _('Check Point SG Concurrent Connections'),
'metrics': [
('checkpoint_asg_sg_counters_non_accel_concurr_conn', 'line'),
('checkpoint_asg_sg_counters_accel_concurr_conn', 'line'),
('checkpoint_asg_sg_counters_concurr_conn', 'area'),
],
'range': (0, 'checkpoint_asg_sg_counters_concurr_conn:max'),
}
graph_info['checkpoint_asg_sg_counters_connection_rate'] = {
'title': _('Check Point SG Counter Connection Rate'),
'metrics': [
('checkpoint_asg_sg_counters_non_accel_connection_rate', 'line'),
('checkpoint_asg_sg_counters_accel_connection_rate', 'line'),
('checkpoint_asg_sg_counters_connection_rate', 'area'),
],
'range': (0, 'checkpoint_asg_sg_counters_connection_rate:max'),
}
graph_info['checkpoint_asg_sg_counters_accel_load'] = {
'title': _('Check Point SG Counter Load'),
'metrics': [
('checkpoint_asg_sg_counters_accel_load_min', 'line'),
('checkpoint_asg_sg_counters_accel_load_avg', 'line'),
('checkpoint_asg_sg_counters_accel_load_max', 'line'),
('checkpoint_asg_sg_counters_load', 'area'),
],
'range': (0, 110),
}
graph_info['checkpoint_asg_sg_counters_instances_load'] = {
'title': _('Check Point SG Counter Instances Load'),
'metrics': [
('checkpoint_asg_sg_counters_instances_load_min', 'line'),
('checkpoint_asg_sg_counters_instances_load_avg', 'area'),
('checkpoint_asg_sg_counters_instances_load_max', 'line'),
],
'range': (0, 110),
}
graph_info['checkpoint_asg_sg_counters_nat_conn'] = {
'title': _('Check Point SG Counter NAT connections'),
'metrics': [
('checkpoint_asg_sg_counters_nat_conn', 'area'),
],
'range': (0, 'checkpoint_asg_sg_counters_nat_conn:max'),
}
graph_info['checkpoint_asg_sg_counters_nat_conn_rate'] = {
'title': _('Check Point SG Counter NAT connection rate'),
'metrics': [
('checkpoint_asg_sg_counters_nat_conn_rate', 'area'),
],
'range': (0, 'checkpoint_asg_sg_counters_nat_conn_rate:max'),
}
graph_info['checkpoint_asg_sg_counters_vpn_conn'] = {
'title': _('Check Point SG Counter VPN connections'),
'metrics': [
('checkpoint_asg_sg_counters_vpn_conn', 'area'),
],
'range': (0, 'checkpoint_asg_sg_counters_vpn_conn:max'),
}
graph_info['checkpoint_asg_sg_counters_vpn_throughput'] = {
'title': _('Check Point SGM Counter VPN Throughput'),
'metrics': [
('checkpoint_asg_sg_counters_vpn_throughput', 'area'),
],
'range': (0, 'checkpoint_asg_sg_counters_vpn_throughput:max'),
}
graph_info['checkpoint_asg_sg_counters_throughput'] = {
'title': _('Check Point SG Counter Throughput'),
'metrics': [
('checkpoint_asg_sg_counters_throughput', 'area'),
],
'range': (0, 'checkpoint_asg_sg_counters_throughput:max'),
}
graph_info['checkpoint_asg_sg_counters_packet_rate'] = {
'title': _('Check Point SG Counter Packet Rate'),
'metrics': [
('checkpoint_asg_sg_counters_packet_rate', 'area'),
],
'range': (0, 'checkpoint_asg_sg_counters_packet_rate:max'),
}
perfometer_info.append(('stacked', [
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_sg_counters_accel_concurr_conn',
'half_value': 100000.0,
'exponent': 2,
},
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_sg_counters_non_accel_concurr_conn',
'half_value': 100000.0,
'exponent': 2,
},
]))
perfometer_info.append(('stacked', [
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_sg_counters_accel_connection_rate',
'half_value': 10000.0,
'exponent': 2,
},
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_sg_counters_non_accel_connection_rate',
'half_value': 10000.0,
'exponent': 2,
},
]))
perfometer_info.append({
'type': 'linear',
'segments': ['checkpoint_asg_sg_counters_accel_load_avg'],
'total': 100,
})
perfometer_info.append({
'type': 'linear',
'segments': ['checkpoint_asg_sg_counters_instances_load_avg'],
'total': 100,
})
perfometer_info.append(('stacked', [
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_sg_counters_nat_conn',
'half_value': 10000.0,
'exponent': 2,
},
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_sg_counters_nat_conn_rate',
'half_value': 500.0,
'exponent': 2,
},
]))
perfometer_info.append(('stacked', [
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_sg_counters_vpn_conn',
'half_value': 500.0,
'exponent': 2,
},
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_sg_counters_vpn_throughput',
'half_value': 2592000.0,
'exponent': 2,
},
]))
perfometer_info.append({
'type': 'logarithmic',
'metric': 'checkpoint_asg_sg_counters_throughput',
'half_value': 500.0,
'exponent': 2,
})
perfometer_info.append({
'type': 'logarithmic',
'metric': 'checkpoint_asg_sg_counters_packet_rate',
'half_value': 100000.0,
'exponent': 2,
})
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Collection of CheckMK checks (see https://checkmk.com/). All checks and plugins are provided as is. Absolutely no warranty. Send any comments to thl-cmk[at]outlook[dot]com