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Commit 0af90b2b authored by thl-cmk's avatar thl-cmk :flag_na:
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agent_based/checkpoint_asg_smo_counters.py
+ 97
− 108
View file @ 0af90b2b
......@@ -10,7 +10,7 @@
# Monitor Check Point Maestro SMO SGM Counters
#
# 2021-09-10: rewritten for CMK 2.0
#
# 2021-09-11: added metrics file
#
# sample snmpwalk
# .1.3.6.1.4.1.2620.1.48.20.1.0 = STRING: "111802"
......@@ -35,12 +35,12 @@
# .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 info
# [[u'111802', u'0', u'84', u'91', u'N/A', u'0', u'0', u'9', u'79', u'1', u'0', u'0', u'0', u'1', u'0', u'7', u'0', u'0', u'0', u'0', u'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']]
#
import time
from dataclasses import dataclass
from typing import List, Dict, NamedTuple, Optional
from typing import Dict
from cmk.base.plugins.agent_based.agent_based_api.v1 import (
register,
......@@ -53,8 +53,6 @@ from cmk.base.plugins.agent_based.agent_based_api.v1 import (
startswith,
any_of,
equals,
check_levels,
render,
)
from cmk.base.plugins.agent_based.agent_based_api.v1.type_defs import (
DiscoveryResult,
......@@ -63,7 +61,15 @@ from cmk.base.plugins.agent_based.agent_based_api.v1.type_defs import (
)
def parse_checkpoint_asg_smo_counters(string_table: StringTable) -> Dict[str, Dict[str, int]]:
@dataclass
class CheckpointAsgSmoCounters:
counters: Dict[str, int]
label: str
unit: str
text: str
def parse_checkpoint_asg_smo_counters(string_table: StringTable) -> Dict[str, CheckpointAsgSmoCounters]:
items = {}
for entry in string_table:
asgThroughput, asgConnectionRate, asgPacketRate, asgConcurrConn, asgClearConn, asgAccelConnectionRate, \
......@@ -71,120 +77,103 @@ def parse_checkpoint_asg_smo_counters(string_table: StringTable) -> Dict[str, Di
asgAccelLoadMin, asgAccelLoadMax, asgInstancesLoadAvg, asgInstancesLoadMin, asgInstancesLoadMax, \
asgVpnThroughput, asgVpnConn, asgNatConnRate, asgNatConn, asgVsxCpu1MinAvg = entry
items['Concurrent connections'] = {
'asgConcurrConn': int(asgConcurrConn),
'asgAccelConcurrConn': int(asgAccelConcurrConn),
'asgNonAccelConcurrConn': int(asgNonAccelConcurrConn),
}
items['Connection rate'] = {
'asgConnectionRate': int(asgConnectionRate),
'asgAccelConnectionRate': int(asgAccelConnectionRate),
'asgNonAccelConnectionRate': int(asgNonAccelConnectionRate),
}
items['Load'] = {
'asgLoad': int(asgLoad),
'asgAccelLoadAvg': int(asgAccelLoadAvg),
'asgAccelLoadMin': int(asgAccelLoadMin),
'asgAccelLoadMax': int(asgAccelLoadMax),
}
items['Instances load'] = {
'asgInstancesLoadAvg': int(asgInstancesLoadAvg),
'asgInstancesLoadMin': int(asgInstancesLoadMin),
'asgInstancesLoadMax': int(asgInstancesLoadMax),
}
items['NAT'] = {
'asgNatConnRate': int(asgNatConnRate),
'asgNatConn': int(asgNatConn),
}
items['VPN'] = {
'asgVpnThroughput': int(asgVpnThroughput),
'asgVpnConn': int(asgVpnConn),
}
items['Throughput'] = {
'asgThroughput': int(asgThroughput),
}
items['Packet rate'] = {
'asgPacketRate': int(asgPacketRate),
}
return items
def discovery_checkpoint_asg_smo_counters(section:Dict[str, Dict[str, int]]) -> DiscoveryResult:
# sample parsed
# {
# 'Load': {'asgAccelLoadAvg': 0, 'asgAccelLoadMin': 0, 'asgLoad': 1, 'asgAccelLoadMax': 0},
# 'Connection rate': {'asgConnectionRate': 0, 'asgNonAccelConnectionRate': 0, 'asgAccelConnectionRate': 0},
# 'Instances load': {'asgInstancesLoadMin': 0, 'asgInstancesLoadMax': 7, 'asgInstancesLoadAvg': 1},
# 'Throughput': {'asgThroughput': 111802},
# 'Concurrent connections': {'asgAccelConcurrConn': 9, 'asgNonAccelConcurrConn': 79, 'asgConcurrConn': 91},
# 'NAT': {'asgNatConn': 0, 'asgNatConnRate': 0},
# 'VPN': {'asgVpnConn': 0, 'asgVpnThroughput': 0},
# 'Packet rate': {'asgPacketRate': 84}}
#
items['Concurrent connections'] = CheckpointAsgSmoCounters(
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'] = CheckpointAsgSmoCounters(
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'] = CheckpointAsgSmoCounters(
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'] = CheckpointAsgSmoCounters(
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'] = CheckpointAsgSmoCounters(
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'] = CheckpointAsgSmoCounters(
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'] = CheckpointAsgSmoCounters(
counters={
'throughput': int(asgThroughput),
},
label='Throughput',
unit='Bytes/s',
text=f'{int(asgThroughput):d}'
)
items['Packet rate'] = CheckpointAsgSmoCounters(
counters={
'packet_rate': int(asgPacketRate),
},
label='Packet Rate',
unit='Packets/s',
text=f'{int(asgPacketRate):d}',
)
if items:
return items
def discovery_checkpoint_asg_smo_counters(section:Dict[str, CheckpointAsgSmoCounters]) -> DiscoveryResult:
for item in section.keys():
yield Service(item=item)
def check_checkpoint_asg_smo_counters(item, params, section:Dict[str, Dict[str, int]]) -> CheckResult:
def check_checkpoint_asg_smo_counters(item, params, section: Dict[str, CheckpointAsgSmoCounters]) -> CheckResult:
try:
entry = section[item]
except KeyError:
yield Result(state=State.UNKNOWN, notice='Item not found in SNMP data')
return
for key in entry.keys():
yield Metric(value=entry[key], name=f'checkpoint_asg_mso_counters_{key}')
for key in entry.counters.keys():
yield Metric(value=entry.counters[key], name=f'checkpoint_asg_smo_counters_{key}')
if item.lower() == 'concurrent connections':
yield Result(
state=State.OK,
summary=f'all/accelerated/non accelerated: {entry["asgConcurrConn"]:d}/{entry["asgAccelConcurrConn"]:d}/{entry["asgNonAccelConcurrConn"]:d}'
)
elif item.lower() == 'load':
yield Result(
state=State.OK,
summary=f'current/average/min/max: {entry["asgLoad"]:d}/{entry["asgAccelLoadAvg"]:d}/{entry["asgAccelLoadMin"]:d}/{entry["asgAccelLoadMax"]:d}'
)
yield Result(state=State.OK, summary=f'{entry.label}: {entry.text}')
elif item.lower() == 'connection rate':
yield Result(
state=State.OK,
summary=f'all/accelerated/non accelerated: {entry["asgConnectionRate"]:d}/{entry["asgAccelConnectionRate"]:d}/{entry["asgNonAccelConnectionRate"]:d}'
)
elif item.lower() == 'instances load':
yield Result(
state=State.OK,
summary=f'average/min/max: {entry["asgInstancesLoadAvg"]:d}/{entry["asgInstancesLoadMin"]:d}/{entry["asgInstancesLoadMax"]:d}'
)
elif item.lower() == 'throughput':
yield Result(
state=State.OK,
summary=f'Throughput: {entry["asgThroughput"]:d}'
)
elif item.lower() == 'packet rate':
yield Result(
state=State.OK,
summary=f'Packet Rate: {entry["asgPacketRate"]:d}'
)
elif item.lower() == 'nat':
yield Result(
state=State.OK,
summary=f'NAT Connections/NAT connection rate: {entry["asgNatConn"]:d}/{entry["asgNatConn"]:d}'
)
elif item.lower() == 'vpn':
yield Result(
state=State.OK,
summary=f'VPN Connections/VPN Throughput: {entry["asgVpnConn"]:d}/{entry["asgVpnThroughput"]:d}'
)
register.snmp_section(
......
checkpoint_asg_smo_counters.mkp
+ 0
− 0
View file @ 0af90b2b
No preview for this file type
packages/checkpoint_asg_smo_counters
+ 4
− 3
View file @ 0af90b2b
{'author': 'Th.L. (thl-cmk[at]outlook[dot]com)',
'description': 'Monitor Check Point Maestro SMO performance counters\n',
'download_url': 'http://thl-cmk.hopto.org/',
'files': {'agent_based': ['checkpoint_asg_smo_counters.py']},
'files': {'agent_based': ['checkpoint_asg_smo_counters.py'],
'web': ['plugins/metrics/checkpoint_asg_smo_counters.py']},
'name': 'checkpoint_asg_smo_counters',
'num_files': 1,
'num_files': 2,
'title': 'Check Point Maestro SMO performance counters',
'version': '20210910.v0.2',
'version': '20210911.v0.2a',
'version.min_required': '2.0.0',
'version.packaged': '2021.07.14',
'version.usable_until': None}
\ No newline at end of file
web/plugins/metrics/checkpoint_asg_smo_counters.py 0 → 100644
+ 288
− 0
View file @ 0af90b2b
#!/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_smo_counters_concurr_conn'] = {
'title': _('Connections'),
'unit': 'count',
'color': '26/a',
}
metric_info['checkpoint_asg_smo_counters_accel_concurr_conn'] = {
'title': _('Connections Accelerated'),
'unit': 'count',
'color': '32/a',
}
metric_info['checkpoint_asg_smo_counters_non_accel_concurr_conn'] = {
'title': _('Connections non Accelerated'),
'unit': 'count',
'color': '16/a',
}
metric_info['checkpoint_asg_smo_counters_connection_rate'] = {
'title': _('Connection Rate'),
'unit': '1/s',
'color': '26/a',
}
metric_info['checkpoint_asg_smo_counters_accel_connection_rate'] = {
'title': _('Connection Rate Accelerated'),
'unit': '1/s',
'color': '32/a',
}
metric_info['checkpoint_asg_smo_counters_non_accel_connection_rate'] = {
'title': _('Connection Rate non Accelerated'),
'unit': '1/s',
'color': '16/a',
}
metric_info['checkpoint_asg_smo_counters_load'] = {
'title': _('Load'),
'unit': '%',
'color': '26/a',
}
metric_info['checkpoint_asg_smo_counters_accel_load_max'] = {
'title': _('Accel load (max)'),
'unit': '%',
'color': '31/a',
}
metric_info['checkpoint_asg_smo_counters_accel_load_avg'] = {
'title': _('Accel load (avg)'),
'unit': '%',
'color': '16/a',
}
metric_info['checkpoint_asg_smo_counters_accel_load_min'] = {
'title': _('Accel load (min)'),
'unit': '%',
'color': '11/a',
}
metric_info['checkpoint_asg_smo_counters_instances_load_avg'] = {
'title': _('Instances load (avg)'),
'unit': '%',
'color': '26/a',
}
metric_info['checkpoint_asg_smo_counters_instances_load_min'] = {
'title': _('Instances load (min)'),
'unit': '%',
'color': '32/a',
}
metric_info['checkpoint_asg_smo_counters_instances_load_max'] = {
'title': _('Instances load (max)'),
'unit': '%',
'color': '16/a',
}
metric_info['checkpoint_asg_smo_counters_nat_conn'] = {
'title': _('NAT connections'),
'unit': 'count',
'color': '26/a',
}
metric_info['checkpoint_asg_smo_counters_nat_conn_rate'] = {
'title': _('NAT Conn Rate'),
'unit': '1/s',
'color': '32/a',
}
metric_info['checkpoint_asg_smo_counters_vpn_conn'] = {
'title': _('VPN connections'),
'unit': 'count',
'color': '26/a',
}
metric_info['checkpoint_asg_smo_counters_vpn_throughput'] = {
'title': _('VPN Throughput'),
'unit': 'bytes/s',
'color': '32/a',
}
metric_info['checkpoint_asg_smo_counters_throughput'] = {
'title': _('Throughput'),
'unit': 'bytes/s',
'color': '26/a',
}
metric_info['checkpoint_asg_smo_counters_packet_rate'] = {
'title': _('Packet Rate'),
'unit': '1/s',
'color': '26/a',
}
graph_info['checkpoint_asg_smo_counters_connections'] = {
'title': _('Check Point SMO Concurrent Connections'),
'metrics': [
('checkpoint_asg_smo_counters_non_accel_concurr_conn', 'line'),
('checkpoint_asg_smo_counters_accel_concurr_conn', 'line'),
('checkpoint_asg_smo_counters_concurr_conn', 'area'),
],
'range': (0, 'checkpoint_asg_smo_counters_concurr_conn:max'),
}
graph_info['checkpoint_asg_smo_counters_connection_rate'] = {
'title': _('Check Point SMO Counter Connection Rate'),
'metrics': [
('checkpoint_asg_smo_counters_non_accel_connection_rate', 'line'),
('checkpoint_asg_smo_counters_accel_connection_rate', 'line'),
('checkpoint_asg_smo_counters_connection_rate', 'area'),
],
'range': (0, 'checkpoint_asg_smo_counters_connection_rate:max'),
}
graph_info['checkpoint_asg_smo_counters_accel_load'] = {
'title': _('Check Point SMO Counter Load'),
'metrics': [
('checkpoint_asg_smo_counters_accel_load_min', 'line'),
('checkpoint_asg_smo_counters_accel_load_avg', 'line'),
('checkpoint_asg_smo_counters_accel_load_max', 'line'),
('checkpoint_asg_smo_counters_load', 'area'),
],
'range': (0, 110),
}
graph_info['checkpoint_asg_smo_counters_instances_load'] = {
'title': _('Check Point SMO Counter Instances Load'),
'metrics': [
('checkpoint_asg_smo_counters_instances_load_min', 'line'),
('checkpoint_asg_smo_counters_instances_load_avg', 'area'),
('checkpoint_asg_smo_counters_instances_load_max', 'line'),
],
'range': (0, 110),
}
graph_info['checkpoint_asg_smo_counters_nat_conn'] = {
'title': _('Check Point SMO Counter NAT connections'),
'metrics': [
('checkpoint_asg_smo_counters_nat_conn', 'area'),
],
'range': (0, 'checkpoint_asg_smo_counters_nat_conn:max'),
}
graph_info['checkpoint_asg_smo_counters_nat_conn_rate'] = {
'title': _('Check Point SMO Counter NAT connection rate'),
'metrics': [
('checkpoint_asg_smo_counters_nat_conn_rate', 'area'),
],
'range': (0, 'checkpoint_asg_smo_counters_nat_conn_rate:max'),
}
graph_info['checkpoint_asg_smo_counters_vpn_conn'] = {
'title': _('Check Point SMO Counter VPN connections'),
'metrics': [
('checkpoint_asg_smo_counters_vpn_conn', 'area'),
],
'range': (0, 'checkpoint_asg_smo_counters_vpn_conn:max'),
}
graph_info['checkpoint_asg_smo_counters_vpn_throughput'] = {
'title': _('Check Point SGM Counter VPN Throughput'),
'metrics': [
('checkpoint_asg_smo_counters_vpn_throughput', 'area'),
],
'range': (0, 'checkpoint_asg_smo_counters_vpn_throughput:max'),
}
graph_info['checkpoint_asg_smo_counters_throughput'] = {
'title': _('Check Point SGM Counter Throughput'),
'metrics': [
('checkpoint_asg_smo_counters_throughput', 'area'),
],
'range': (0, 'checkpoint_asg_smo_counters_throughput:max'),
}
graph_info['checkpoint_asg_smo_counters_packet_rate'] = {
'title': _('Check Point SMO Counter Packet Rate'),
'metrics': [
('checkpoint_asg_smo_counters_packet_rate', 'area'),
],
'range': (0, 'checkpoint_asg_smo_counters_packet_rate:max'),
}
perfometer_info.append(('stacked', [
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_smo_counters_accel_concurr_conn',
'half_value': 100000.0,
'exponent': 2,
},
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_smo_counters_non_accel_concurr_conn',
'half_value': 100000.0,
'exponent': 2,
},
]))
perfometer_info.append(('stacked', [
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_smo_counters_accel_connection_rate',
'half_value': 10000.0,
'exponent': 2,
},
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_smo_counters_non_accel_connection_rate',
'half_value': 10000.0,
'exponent': 2,
},
]))
perfometer_info.append({
'type': 'linear',
'segments': ['checkpoint_asg_smo_counters_accel_load_avg'],
'total': 100,
})
perfometer_info.append({
'type': 'linear',
'segments': ['checkpoint_asg_smo_counters_instances_load_avg'],
'total': 100,
})
perfometer_info.append(('stacked', [
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_smo_counters_nat_conn',
'half_value': 10000.0,
'exponent': 2,
},
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_smo_counters_nat_conn_rate',
'half_value': 500.0,
'exponent': 2,
},
]))
perfometer_info.append(('stacked', [
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_smo_counters_vpn_conn',
'half_value': 500.0,
'exponent': 2,
},
{
'type': 'logarithmic',
'metric': 'checkpoint_asg_smo_counters_vpn_throughput',
'half_value': 2592000.0,
'exponent': 2,
},
]))
perfometer_info.append({
'type': 'logarithmic',
'metric': 'checkpoint_asg_smo_counters_throughput',
'half_value': 500.0,
'exponent': 2,
})
perfometer_info.append({
'type': 'logarithmic',
'metric': 'checkpoint_asg_smo_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