Liste des tableaux de bord par équipe

Vous pouvez utiliser Python pour répertorier les tableaux de bord disponibles pour les équipes.

#!/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 [])))

Créer un tableau de bord

Vous pouvez utiliser Python pour créer des tableaux de bord.

Création d'un tableau de bord dans l'équipe par défaut

Le code suivant présente la structure d'un script Python permettant de créer un tableau de bord pour l'équipe par défaut.

Le code suivant présente la structure d'un script Python :

#!/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)

Créer un tableau de bord dans une équipe

Le code suivant montre la structure d'un script Python permettant de créer un tableau de bord pour une équipe spécifique.

#!/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)

Copie d'un tableau de bord

Vous pouvez utiliser Python pour copier des tableaux de bord.

#!/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)

Suppression d'un tableau de bord

Vous pouvez utiliserPython pour supprimer un tableau de bord.

Vous devez connaître l'ID d'un tableau de bord pour le supprimer.

Supprimer un tableau de bord de l'équipe par défaut

Le code suivant montre la structure d'un script Python permettant de supprimer un tableau de bord de l'équipe par défaut.

#!/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)

Supprimer un tableau de bord d'une équipe

Le code suivant montre la structure d'un script Python permettant de supprimer un tableau de bord d'une équipe spécifique.

#!/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)

Téléchargez des tableaux de bord personnalisés

Vous pouvez utiliser Python pour télécharger des tableaux de bord personnalisés.

Lorsque vous téléchargez des tableaux de bord, vous ne téléchargez que des tableaux de bord personnalisés.

Téléchargez des tableaux de bord personnalisés dans l'équipe par défaut

Le code suivant montre la structure d'un script Python permettant de télécharger un tableau de bord personnalisé à partir de l'équipe par défaut.

#!/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'])))

Téléchargez des tableaux de bord personnalisés dans une équipe

Le code suivant montre la structure d'unPython script pour télécharger un tableau de bord personnalisé d’une équipe spécifique.

#!/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'])))