Dashboards nach Team auflisten

Sie können Python verwenden, um die Dashboards aufzulisten, die Teams zur Verfügung stehen.

#!/usr/bin/env python3

import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), '..'))
from sdcclient import IbmAuthHelper, SdMonitorClient

# Parse arguments.
 def usage():
    print('usage: %s <endpoint-url> <apikey> <instance-guid>' % sys.argv[0])
    print('endpoint-url: The endpoint URL that should point to IBM Cloud')
    print('apikey: IBM Cloud IAM apikey that will be used to retrieve an access token')
    print('instance-guid: GUID of an IBM Cloud Monitoring with monitoring instance')
    sys.exit(1)

if len(sys.argv) != 4:
   usage()

URL = sys.argv[1]
APIKEY = sys.argv[2]
GUID = sys.argv[3]

# Instantiate the client
ibm_headers = IbmAuthHelper.get_headers(URL, APIKEY, GUID)
sdclient = SdMonitorClient(sdc_url=URL, custom_headers=ibm_headers)

# Show the list of dashboards
ok, res = sdclient.get_dashboards()

if not ok:
    print(res)
    sys.exit(1)

for db in res['dashboards']:
    print("%s [Team ID: %s] Name: %s, # Charts: %d" % ( db['id'], db['teamId'], db['name'], len(db['widgets'] if 'widgets' in db else [])))

#!/usr/bin/env python3

import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), '..'))

from sdcclient import SdMonitorClient

# Parse arguments.
def usage():
   print('usage: %s <endpoint-url> <sysdig_token>' % sys.argv[0])
   print('endpoint-url: The endpoint URL that should point to IBM Cloud')
   print('sysdig_token: Sysdig token for the team')
   sys.exit(1)

if len(sys.argv) != 3:
   usage()

URL = sys.argv[1]

# Set to the Sysdig token of the team
SYSDIG_TOKEN = sys.argv[2]

sdclient = SdMonitorClient(token=SYSDIG_TOKEN,sdc_url=URL)

# Show the list of dashboards
ok, res = sdclient.get_dashboards()

if not ok:
    print(res)
    sys.exit(1)

for db in res['dashboards']:
    print("%s [Team ID: %s] Name: %s, # Charts: %d" % ( db['id'], db['teamId'], db['name'], len(db['widgets'] if 'widgets' in db else [])))

Dashboard erstellen

Sie können Python zum Erstellen von Dashboards verwenden.

Dashboard im Standardteam erstellen

Der folgende Code zeigt die Struktur eines Python-Scripts, um ein neues Dashboard für das Standardteam zu erstellen.

Der folgende Code zeigt die Struktur eines Python-Scripts:

#!/usr/bin/env python3

import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), '..'))
from sdcclient import IbmAuthHelper, SdMonitorClient

# Parse arguments.
 def usage():
    print('usage: %s <endpoint-url> <apikey> <instance-guid>' % sys.argv[0])
    print('endpoint-url: The endpoint URL that should point to IBM Cloud')
    print('apikey: IBM Cloud IAM apikey that will be used to retrieve an access token')
    print('instance-guid: GUID of an IBM Cloud Monitoring with monitoring instance')
    sys.exit(1)

if len(sys.argv) != 4:
   usage()

URL = sys.argv[1]
APIKEY = sys.argv[2]
GUID = sys.argv[3]

DASHBOARD_NAME = 'My New Dashboard from Python'
PANEL_NAME = 'CPU Over Time'

# Instantiate the client
ibm_headers = IbmAuthHelper.get_headers(URL, APIKEY, GUID)
sdclient = SdMonitorClient(sdc_url=URL, custom_headers=ibm_headers)

# Create an empty dashboard
ok, res = sdclient.create_dashboard(DASHBOARD_NAME)

# Check the result
dashboard_name = None
if ok:
    print('Dashboard %d created successfully' % res['dashboard']['id'])
    dashboard_name = res['dashboard']
else:
    print(res)
    sys.exit(1)

# Add a time series panel
panel_type = 'timeSeries'
metrics = [
    {'id': 'proc.name'},
    {'id': 'cpu.used.percent', 'aggregations': {'time': 'avg', 'group': 'avg'}}
]
ok, res = sdclient.add_dashboard_panel(
    dashboard_name, PANEL_NAME, panel_type, metrics)

# Check the result
if ok:
    print('Panel added successfully')
    dashboard_name = res['dashboard']
else:
    print(res)
    sys.exit(1)

Erstellen eines Dashboards im Team

Der folgende Code zeigt die Struktur eines Python zur Erstellung eines Dashboards für ein bestimmtes Team.

#!/usr/bin/env python3

import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), '..'))

from sdcclient import SdMonitorClient

# Parse arguments.
def usage():
   print('usage: %s <endpoint-url> <sysdig_token>' % sys.argv[0])
   print('endpoint-url: The endpoint URL that should point to IBM Cloud')
   print('sysdig_token: Sysdig token for the team')
   sys.exit(1)

if len(sys.argv) != 3:
   usage()

URL = sys.argv[1]

# Set to the Sysdig token of the team
SYSDIG_TOKEN = sys.argv[2]

DASHBOARD_NAME = 'My New Dashboard from Python'
PANEL_NAME = 'CPU Over Time'

sdclient = SdMonitorClient(token=SYSDIG_TOKEN,sdc_url=URL)

# Create an empty dashboard
ok, res = sdclient.create_dashboard(DASHBOARD_NAME)

# Check the result
dashboard_name = None
if ok:
    print('Dashboard %d created successfully' % res['dashboard']['id'])
    dashboard_name = res['dashboard']
else:
    print(res)
    sys.exit(1)

# Add a time series panel
panel_type = 'timeSeries'
metrics = [
    {'id': 'proc.name'},
    {'id': 'cpu.used.percent', 'aggregations': {'time': 'avg', 'group': 'avg'}}
]
ok, res = sdclient.add_dashboard_panel(
    dashboard_name, PANEL_NAME, panel_type, metrics)

# Check the result
if ok:
    print('Panel added successfully')
    dashboard_name = res['dashboard']
else:
    print(res)
    sys.exit(1)

Dashboard kopieren

Sie können Python verwenden, um Dashboards zu kopieren.

#!/usr/bin/env python3

import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), '..'))
from sdcclient import IbmAuthHelper, SdMonitorClient

# Parse arguments.
 def usage():
    print('usage: %s <endpoint-url> <apikey> <instance-guid>' % sys.argv[0])
    print('endpoint-url: The endpoint URL that should point to IBM Cloud')
    print('apikey: IBM Cloud IAM apikey that will be used to retrieve an access token')
    print('instance-guid: GUID of an IBM Cloud Monitoring with monitoring instance')
    sys.exit(1)

if len(sys.argv) != 4:
   usage()

URL = sys.argv[1]
APIKEY = sys.argv[2]
GUID = sys.argv[3]

# Name for the dashboard to create
dashboard_name = "My new CPU dashboard"
# Existing dashboard to copy
existing_dashboard_name = "My Existing Dashboard"
# New filter to apply
scope_filter = 'host.hostName = "virtualserver02"'

# Instantiate the client
ibm_headers = IbmAuthHelper.get_headers(URL, APIKEY, GUID)
sdclient = SdMonitorClient(sdc_url=URL, custom_headers=ibm_headers)

# Copy a dashboard
ok, res = sdclient.create_dashboard_from_dashboard(dashboard_name, existing_dashboard_name, scope_filter, shared=False, public=True)

# Check the result
#
if ok:
    print('Dashboard created successfully')
else:
    print(res)
    sys.exit(1)

#!/usr/bin/env python3

import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), '..'))
from sdcclient import IbmAuthHelper, SdMonitorClient

# Parse arguments.
 def usage():
    print('usage: %s <endpoint-url> <apikey> <instance-guid>' % sys.argv[0])
    print('endpoint-url: The endpoint URL that should point to IBM Cloud')
    print('apikey: IBM Cloud IAM apikey that will be used to retrieve an access token')
    print('instance-guid: GUID of an IBM Cloud Monitoring with monitoring instance')
    sys.exit(1)

if len(sys.argv) != 4:
   usage()

URL = sys.argv[1]
APIKEY = sys.argv[2]
GUID = sys.argv[3]

# Name for the dashboard to create
dashboard_name = "My Overview by Process"
# Existing dashboard to copy
default_dashboard_name = "Overview by Process"
# New filter to apply
scope_filter = 'host.hostName = "virtualserver02"'

# Instantiate the client
ibm_headers = IbmAuthHelper.get_headers(URL, APIKEY, GUID)
sdclient = SdMonitorClient(sdc_url=URL, custom_headers=ibm_headers)

# Copy a dashboard
ok, res = sdclient.create_dashboard_from_view(dashboard_name, default_dashboard_name, scope_filter, shared=False, public=True)

# Check the result
#
if ok:
    print('Dashboard created successfully')
else:
    print(res)
    sys.exit(1)

#!/usr/bin/env python3

import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), '..'))

from sdcclient import SdMonitorClient

# Parse arguments.
def usage():
   print('usage: %s <endpoint-url> <sysdig_token>' % sys.argv[0])
   print('endpoint-url: The endpoint URL that should point to IBM Cloud')
   print('sysdig_token: Sysdig token for the team')
   sys.exit(1)

if len(sys.argv) != 3:
   usage()

URL = sys.argv[1]

# Set to the Sysdig token of the team
SYSDIG_TOKEN = sys.argv[2]

# Name for the dashboard to create
dashboard_name = "My new CPU dashboard"
# Existing dashboard to copy
existing_dashboard_name = "My Existing Dashboard"
# New filter to apply
scope_filter = 'host.hostName = "virtualserver02"'

sdclient = SdMonitorClient(token=SYSDIG_TOKEN,sdc_url=URL)


# Copy a dashboard
ok, res = sdclient.create_dashboard_from_dashboard(dashboard_name, existing_dashboard_name, scope_filter, shared=False, public=True)

# Check the result
#
if ok:
    print('Dashboard created successfully')
else:
    print(res)
    sys.exit(1)

Dashboard löschen

Sie könnenPython, um ein Dashboard zu löschen.

Sie müssen die Kennung eines Dashboards kennen, um es zu löschen.

Löschen eines Dashboards aus dem Standardteam

Der folgende Code zeigt die Struktur eines Python zum Löschen eines Dashboards aus dem Standardteam.

#!/usr/bin/env python3

import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), '..'))
from sdcclient import IbmAuthHelper, SdMonitorClient

# Parse arguments.
def usage():
    print('usage: %s <endpoint-url> <apikey> <instance-guid>' % sys.argv[0])
    print('endpoint-url: The endpoint URL that should point to IBM Cloud')
    print('apikey: IBM Cloud IAM apikey that will be used to retrieve an access token')
    print('instance-guid: GUID of an IBM Cloud Monitoring with monitoring instance')
    sys.exit(1)

if len(sys.argv) != 4:
   usage()

URL = sys.argv[1]
APIKEY = sys.argv[2]
GUID = sys.argv[3]

# Name of the dashboard that you want to delete
DASHBOARD_NAME = "Nginx production"


# Instantiate the client
ibm_headers = IbmAuthHelper.get_headers(URL, APIKEY, GUID)
sdclient = SdMonitorClient(sdc_url=URL, custom_headers=ibm_headers)

# Show the list of dashboards
ok, res = sdclient.get_dashboards()

# Loop through all fetched dashboards
for dashboard in res[1]['dashboards']:
    # Delete dashboard if it matches the pattern (one or many)
    if DASHBOARD_NAME in dashboard['name']:
        print("Deleting " + dashboard['name'])
        res = sdclient.delete_dashboard(dashboard)

Ein Dashboard aus einem Team löschen

Der folgende Code zeigt die Struktur eines Python zum Löschen eines Dashboards aus einem bestimmten Team.

#!/usr/bin/env python3

import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), '..'))

from sdcclient import SdMonitorClient

# Parse arguments.
def usage():
   print('usage: %s <endpoint-url> <sysdig_token>' % sys.argv[0])
   print('endpoint-url: The endpoint URL that should point to IBM Cloud')
   print('sysdig_token: Sysdig token for the team')
   sys.exit(1)

if len(sys.argv) != 3:
   usage()

URL = sys.argv[1]

# Set to the Sysdig token of the team
SYSDIG_TOKEN = sys.argv[2]

sdclient = SdMonitorClient(token=SYSDIG_TOKEN,sdc_url=URL)

# Show the list of dashboards
ok, res = sdclient.get_dashboards()

# Loop through all fetched dashboards
for dashboard in res[1]['dashboards']:
    # Delete dashboard if it matches the pattern (one or many)
    if DASHBOARD_NAME in dashboard['name']:
        print("Deleting " + dashboard['name'])
        res = sdclient.delete_dashboard(dashboard)

Benutzerdefinierte Dashboards herunterladen

Sie können Python verwenden, um benutzerdefinierte Dashboards herunterzuladen.

Wenn Sie Dashboards herunterladen, laden Sie nur kundenspezifische Dashboards herunter.

Herunterladen benutzerdefinierter Dashboards im Standardteam

Der folgende Code zeigt die Struktur eines Python zum Herunterladen eines benutzerdefinierten Dashboards aus dem Standardteam.

#!/usr/bin/env python3

import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), '..'))
from sdcclient import IbmAuthHelper, SdMonitorClient

# Parse arguments.
 def usage():
    print('usage: %s <endpoint-url> <apikey> <instance-guid>' % sys.argv[0])
    print('endpoint-url: The endpoint URL that should point to IBM Cloud')
    print('apikey: IBM Cloud IAM apikey that will be used to retrieve an access token')
    print('instance-guid: GUID of an IBM Cloud Monitoring with monitoring instance')
    sys.exit(1)

if len(sys.argv) != 4:
   usage()


def zipdir(path, ziph):
    # ziph is zipfile handle
    for root, dirs, files in os.walk(path):
        for file in files:
            ziph.write(os.path.join(root, file))


def cleanup_dir(path):
    if os.path.exists(path) == False:
        return
    if os.path.isdir(path) == False:
        print('Provided path is not a directory')
        sys.exit(-1)

    for file in os.listdir(path):
        file_path = os.path.join(path, file)
        try:
            if os.path.isfile(file_path):
                os.unlink(file_path)
            else:
                print('Cannot clean the provided directory due to delete failure on %s' % file_path)
        except Exception as e:
            print(e)
    os.rmdir(path)

sysdig_dashboard_dir = 'sysdig-dashboard-dir'

URL = sys.argv[1]
APIKEY = sys.argv[2]
GUID = sys.argv[3]

# Instantiate the client
ibm_headers = IbmAuthHelper.get_headers(URL, APIKEY, GUID)
sdclient = SdMonitorClient(sdc_url=URL, custom_headers=ibm_headers)

ok, res = sdclient.get_dashboards()

if not ok:
    print(res)
    sys.exit(1)

# Creating sysdig dashboard directory to store dashboards
if not os.path.exists(sysdig_dashboard_dir):
    os.makedirs(sysdig_dashboard_dir)

for db in res['dashboards']:
    sdclient.save_dashboard_to_file(db, os.path.join(sysdig_dashboard_dir, str(db['id'])))

    print("Name: %s, # Charts: %d" % (db['name'], len(db['widgets'])))

Benutzerdefinierte Dashboards im Team herunterladen

Der folgende Code zeigt die Struktur einesPython Skript zum Herunterladen eines benutzerdefinierten Dashboards von einem bestimmten Team.

#!/usr/bin/env python3

import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), '..'))

from sdcclient import SdMonitorClient

# Parse arguments.
def usage():
   print('usage: %s <endpoint-url> <sysdig_token>' % sys.argv[0])
   print('endpoint-url: The endpoint URL that should point to IBM Cloud')
   print('sysdig_token: Sysdig token for the team')
   sys.exit(1)

if len(sys.argv) != 3:
   usage()

URL = sys.argv[1]

# Set to the Sysdig token of the team
SYSDIG_TOKEN = sys.argv[2]

def zipdir(path, ziph):
    # ziph is zipfile handle
    for root, dirs, files in os.walk(path):
        for file in files:
            ziph.write(os.path.join(root, file))


def cleanup_dir(path):
    if os.path.exists(path) == False:
        return
    if os.path.isdir(path) == False:
        print('Provided path is not a directory')
        sys.exit(-1)

    for file in os.listdir(path):
        file_path = os.path.join(path, file)
        try:
            if os.path.isfile(file_path):
                os.unlink(file_path)
            else:
                print('Cannot clean the provided directory due to delete failure on %s' % file_path)
        except Exception as e:
            print(e)
    os.rmdir(path)

sysdig_dashboard_dir = 'sysdig-dashboard-dir'

sdclient = SdMonitorClient(token=SYSDIG_TOKEN,sdc_url=URL)

ok, res = sdclient.get_dashboards()

if not ok:
    print(res)
    sys.exit(1)

# Creating sysdig dashboard directory to store dashboards
if not os.path.exists(sysdig_dashboard_dir):
    os.makedirs(sysdig_dashboard_dir)

for db in res['dashboards']:
    sdclient.save_dashboard_to_file(db, os.path.join(sysdig_dashboard_dir, str(db['id'])))

    print("Name: %s, # Charts: %d" % (db['name'], len(db['widgets'])))