Maunope/network added firewall metrics (#856)
* support for project level VPC firewall metrics * updated GCP networking dashboard (.json file) Co-authored-by: Maurizio Noseda Pedraglio <mnoseda@google.com>, Aurélien Legrand <aurelien.legrand01@gmail.com>
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@ -9,7 +9,7 @@ Here is an example of dashboard you can get with this solution:
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Here you see utilization (usage compared to the limit) for a specific metric (number of instances per VPC) for multiple VPCs and projects.
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3 metrics are created: Usage, limit and utilization. You can follow each of these and create alerting policies if a threshold is reached.
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Three metric descriptors are created for each monitored resource: usage, limit and utilization. You can follow each of these and create alerting policies if a threshold is reached.
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## Usage
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@ -45,6 +45,7 @@ The Cloud Function currently tracks usage, limit and utilization of:
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- Dynamic routes per VPC
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- Dynamic routes per VPC peering group
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- IP utilization per subnet (% of IP addresses used in a subnet)
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- VPC firewall rules per project (VPC drill down is available for usage)
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It writes this values to custom metrics in Cloud Monitoring and creates a dashboard to visualize the current utilization of these metrics in Cloud Monitoring.
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@ -20,7 +20,7 @@ import time
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from google.cloud import monitoring_v3, asset_v1
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from google.protobuf import field_mask_pb2
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from googleapiclient import discovery
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from metrics import ilb_fwrules, instances, networks, metrics, limits, peerings, routes, subnets
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from metrics import ilb_fwrules, instances, networks, metrics, limits, peerings, routes, subnets, vpc_firewalls
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def get_monitored_projects_list(config):
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@ -33,7 +33,7 @@ def get_monitored_projects_list(config):
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monitored_projects (List of strings): Full list of projects to be monitored
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'''
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monitored_projects = config["monitored_projects"]
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monitored_folders = os.environ.get("MONITORED_FOLDERS_LIST").split(",")
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monitored_folders = [] #os.environ.get("MONITORED_FOLDERS_LIST").split(",")
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# Handling empty monitored folders list
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if monitored_folders == ['']:
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@ -94,7 +94,7 @@ config = {
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# list of projects from which function will get quotas information
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"monitored_projects":
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os.environ.get("MONITORED_PROJECTS_LIST").split(","),
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"monitoring_project_link":
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"monitoring_project":
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os.environ.get('MONITORING_PROJECT_ID'),
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"monitoring_project_link":
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f"projects/{os.environ.get('MONITORING_PROJECT_ID')}",
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@ -143,6 +143,9 @@ def main(event, context):
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metrics_dict, limits_dict = metrics.create_metrics(
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config["monitoring_project_link"])
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project_quotas_dict = limits.get_quota_project_limit(config)
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firewalls_dict = vpc_firewalls.get_firewalls_dict(config)
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# IP utilization subnet level metrics
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subnets.get_subnets(config, metrics_dict)
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@ -153,6 +156,10 @@ def main(event, context):
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l7_forwarding_rules_dict = ilb_fwrules.get_forwarding_rules_dict(config, "L7")
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subnet_range_dict = networks.get_subnet_ranges_dict(config)
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# Per Project metrics
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vpc_firewalls.get_firewalls_data(config, metrics_dict, project_quotas_dict,
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firewalls_dict)
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# Per Network metrics
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instances.get_gce_instances_data(config, metrics_dict, gce_instance_dict,
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limits_dict['number_of_instances_limit'])
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@ -197,4 +204,4 @@ def main(event, context):
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if __name__ == "__main__":
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main(None, None)
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main(None, None)
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@ -159,4 +159,16 @@ metrics_per_peering_group:
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default_value: 300
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utilization:
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name: dynamic_routes_per_peering_group_utilization
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description: Number of Dynamic routes per peering group - utilization.
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description: Number of Dynamic routes per peering group - utilization.
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metrics_per_project:
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firewalls:
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usage:
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name: firewalls_per_project_vpc_usage
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description: Number of VPC firewall rules in a project - usage.
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limit:
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# Firewalls limit is per project and we get the limit for the GCP quota API in vpc_firewalls.py
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name: firewalls_per_project_limit
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description: Number of VPC firewall rules in a project - limit.
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utilization:
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name: firewalls_per_project_utilization
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description: Number of VPC firewall rules in a project - utilization.
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@ -19,6 +19,60 @@ from google.cloud import monitoring_v3
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from . import metrics
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def get_quotas_dict(quotas_list):
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'''
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Creates a dictionary of quotas from a list, with lower case quota name as keys
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Parameters:
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quotas_array (array): array of quotas
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Returns:
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quotas_dict (dict): dictionary of quotas
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'''
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quota_keys = [q['metric'] for q in quotas_list]
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quotas_dict = dict()
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i = 0
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for key in quota_keys:
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if ("metric" in quotas_list[i]):
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del (quotas_list[i]["metric"])
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quotas_dict[key.lower()] = quotas_list[i]
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i += 1
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return quotas_dict
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def get_quota_project_limit(config, regions=["global"]):
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'''
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Retrieves limit for a specific project quota
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Parameters:
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project_link (string): Project link.
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Returns:
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quotas (dict): quotas for all selected regions, default 'global'
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'''
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try:
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request = {}
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quotas = dict()
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for project in config["monitored_projects"]:
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quotas[project] = dict()
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if regions != ["global"]:
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for region in regions:
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request = config["clients"]["discovery_client"].compute.regions().get(
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region=region, project=project)
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response = request.execute()
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quotas[project][region] = get_quotas_dict(response['quotas'])
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else:
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region = "global"
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request = config["clients"]["discovery_client"].projects().get(
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project=project, fields="quotas")
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response = request.execute()
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quotas[project][region] = get_quotas_dict(response['quotas'])
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return quotas
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except exceptions.PermissionDenied as err:
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print(
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f"Warning: error reading quotas for {project}. " +
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f"This can happen if you don't have permissions on the project, for example if the project is in another organization or a Google managed project"
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)
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return None
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def get_ppg(network_link, limit_dict):
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'''
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Checks if this network has a specific limit for a metric, if so, returns that limit, if not, returns the default limit.
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@ -36,7 +36,7 @@ def create_metrics(monitoring_project):
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existing_metrics.append(desc.type)
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limits_dict = {}
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with open("metrics.yaml", 'r') as stream:
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with open("./metrics.yaml", 'r') as stream:
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try:
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metrics_dict = yaml.safe_load(stream)
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@ -52,8 +52,9 @@ def create_metrics(monitoring_project):
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# Subnet level metrics have a different limit: the subnet IP range size
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if sub_metric_key == "limit" and metric_name != "ip_usage_per_subnet":
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limits_dict_for_metric = {}
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for network_link, limit_value in sub_metric["values"].items():
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limits_dict_for_metric[network_link] = limit_value
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if "values" in sub_metric:
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for network_link, limit_value in sub_metric["values"].items():
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limits_dict_for_metric[network_link] = limit_value
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limits_dict[sub_metric["name"]] = limits_dict_for_metric
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return metrics_dict, limits_dict
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@ -84,7 +85,7 @@ def create_metric(metric_name, description, monitoring_project):
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def write_data_to_metric(config, monitored_project_id, value, metric_name,
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network_name, subnet_id=None):
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network_name=None, subnet_id=None):
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'''
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Writes data to Cloud Monitoring custom metrics.
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Parameters:
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@ -103,9 +104,10 @@ def write_data_to_metric(config, monitored_project_id, value, metric_name,
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series = monitoring_v3.TimeSeries()
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series.metric.type = f"custom.googleapis.com/{metric_name}"
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series.resource.type = "global"
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series.metric.labels["network_name"] = network_name
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series.metric.labels["project"] = monitored_project_id
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if subnet_id:
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if network_name != None:
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series.metric.labels["network_name"] = network_name
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if subnet_id != None:
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series.metric.labels["subnet_id"] = subnet_id
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now = time.time()
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@ -0,0 +1,111 @@
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#
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# Copyright 2022 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import re
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from collections import defaultdict
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from pydoc import doc
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from collections import defaultdict
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from google.protobuf import field_mask_pb2
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from . import metrics, networks, limits, peerings, routers
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def get_firewalls_dict(config: dict):
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'''
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Calls the Asset Inventory API to get all VPC Firewall Rules under the GCP organization.
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Parameters:
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config (dict): The dict containing config like clients and limits
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Returns:
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firewalls_dict (dictionary of dictionary: int): Keys are projects, subkeys are networks, values count #of VPC Firewall Rules
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'''
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firewalls_dict = defaultdict(int)
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read_mask = field_mask_pb2.FieldMask()
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read_mask.FromJsonString('name,versionedResources')
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response = config["clients"]["asset_client"].search_all_resources(
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request={
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"scope": f"organizations/{config['organization']}",
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"asset_types": ["compute.googleapis.com/Firewall"],
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"read_mask": read_mask,
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})
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for resource in response:
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project_id = re.search("(compute.googleapis.com/projects/)([\w\-\d]+)",
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resource.name).group(2)
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network_name = ""
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for versioned in resource.versioned_resources:
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for field_name, field_value in versioned.resource.items():
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if field_name == "network":
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network_name = re.search("[a-z0-9\-]*$", field_value).group(0)
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firewalls_dict[project_id] = defaultdict(
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int
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) if not project_id in firewalls_dict else firewalls_dict[project_id]
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firewalls_dict[project_id][
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network_name] = 1 if not network_name in firewalls_dict[
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project_id] else firewalls_dict[project_id][network_name] + 1
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break
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break
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return firewalls_dict
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def get_firewalls_data(config, metrics_dict, project_quotas_dict,
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firewalls_dict):
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'''
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Gets the data for VPC Firewall Rules per VPC Network and writes it to the metric defined in vpc_firewalls_metric.
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Parameters:
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config (dict): The dict containing config like clients and limits
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metrics_dict (dictionary of dictionary of string: string): metrics names and descriptions.
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limit_dict (dictionary of string:int): Dictionary with the network link as key and the limit as value.
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firewalls_dict (dictionary of dictionary): Keys are projects, subkeys are networks, values count #of VPC Firewall Rules
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Returns:
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None
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'''
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for project in config["monitored_projects"]:
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current_quota_limit = project_quotas_dict[project]['global']["firewalls"]
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if current_quota_limit is None:
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print(
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f"Could not write VPC firewal rules to metric for projects/{project} due to missing quotas"
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)
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continue
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network_dict = networks.get_networks(config, project)
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project_usage = 0
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for net in network_dict:
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usage = 0
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if project in firewalls_dict and net['network_name'] in firewalls_dict[
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project]:
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usage = firewalls_dict[project][net['network_name']]
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project_usage += usage
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metrics.write_data_to_metric(
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config, project, usage,
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metrics_dict["metrics_per_project"][f"firewalls"]["usage"]["name"],
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net['network_name'])
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# firewall quotas are per project, not per single VPC
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metrics.write_data_to_metric(
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config, project, current_quota_limit['limit'],
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metrics_dict["metrics_per_project"][f"firewalls"]["limit"]["name"])
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metrics.write_data_to_metric(
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config, project, project_usage / current_quota_limit['limit']
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if current_quota_limit['limit'] != 0 else 0,
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metrics_dict["metrics_per_project"][f"firewalls"]["utilization"]
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["name"])
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print(
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f"Wrote number of VPC Firewall Rules to metric for projects/{project}")
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@ -1,4 +1,5 @@
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{
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"category": "CUSTOM",
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"displayName": "quotas_utilization",
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"mosaicLayout": {
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"columns": 12,
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@ -17,6 +18,7 @@
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"plotType": "LINE",
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"targetAxis": "Y1",
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"timeSeriesQuery": {
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"apiSource": "DEFAULT_CLOUD",
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"timeSeriesFilter": {
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"aggregation": {
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"alignmentPeriod": "3600s",
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@ -38,7 +40,9 @@
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}
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}
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},
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"width": 6
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"width": 6,
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"xPos": 0,
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"yPos": 0
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},
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{
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"height": 4,
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@ -54,6 +58,7 @@
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"plotType": "LINE",
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"targetAxis": "Y1",
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"timeSeriesQuery": {
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"apiSource": "DEFAULT_CLOUD",
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"timeSeriesFilter": {
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"aggregation": {
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"alignmentPeriod": "3600s",
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@ -76,6 +81,7 @@
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}
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},
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"width": 6,
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"xPos": 0,
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"yPos": 12
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},
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{
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@ -92,6 +98,7 @@
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"plotType": "LINE",
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"targetAxis": "Y1",
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"timeSeriesQuery": {
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"apiSource": "DEFAULT_CLOUD",
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"timeSeriesFilter": {
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"aggregation": {
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"alignmentPeriod": "3600s",
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@ -114,6 +121,7 @@
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}
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},
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"width": 6,
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"xPos": 0,
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"yPos": 8
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},
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{
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@ -130,6 +138,7 @@
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"plotType": "LINE",
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"targetAxis": "Y1",
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"timeSeriesQuery": {
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"apiSource": "DEFAULT_CLOUD",
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"timeSeriesFilter": {
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"aggregation": {
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"alignmentPeriod": "3600s",
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@ -169,6 +178,7 @@
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"plotType": "LINE",
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"targetAxis": "Y1",
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"timeSeriesQuery": {
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"apiSource": "DEFAULT_CLOUD",
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"timeSeriesFilter": {
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"aggregation": {
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"alignmentPeriod": "3600s",
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@ -191,6 +201,7 @@
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}
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},
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"width": 6,
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"xPos": 0,
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"yPos": 4
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},
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{
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@ -207,6 +218,7 @@
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"plotType": "LINE",
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"targetAxis": "Y1",
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"timeSeriesQuery": {
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"apiSource": "DEFAULT_CLOUD",
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"timeSeriesFilter": {
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"aggregation": {
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"alignmentPeriod": "3600s",
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@ -229,6 +241,7 @@
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}
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},
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"width": 6,
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"xPos": 0,
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"yPos": 16
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},
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{
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@ -245,6 +258,7 @@
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"plotType": "LINE",
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"targetAxis": "Y1",
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"timeSeriesQuery": {
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"apiSource": "DEFAULT_CLOUD",
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"timeSeriesFilter": {
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"aggregation": {
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"alignmentPeriod": "3600s",
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@ -267,7 +281,8 @@
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}
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},
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"width": 6,
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"xPos": 6
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"xPos": 6,
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"yPos": 0
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},
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{
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"height": 4,
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@ -283,6 +298,7 @@
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"plotType": "LINE",
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"targetAxis": "Y1",
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"timeSeriesQuery": {
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"apiSource": "DEFAULT_CLOUD",
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"timeSeriesFilter": {
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"aggregation": {
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"alignmentPeriod": "3600s",
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@ -322,6 +338,7 @@
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"plotType": "LINE",
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"targetAxis": "Y1",
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"timeSeriesQuery": {
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"apiSource": "DEFAULT_CLOUD",
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"timeSeriesFilter": {
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"aggregation": {
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"alignmentPeriod": "3600s",
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@ -357,6 +374,7 @@
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"plotType": "LINE",
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"targetAxis": "Y1",
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"timeSeriesQuery": {
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"apiSource": "DEFAULT_CLOUD",
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"timeSeriesFilter": {
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"aggregation": {
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"alignmentPeriod": "60s",
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|
|
@ -375,6 +393,97 @@
|
|||
}
|
||||
},
|
||||
"width": 6,
|
||||
"xPos": 6,
|
||||
"yPos": 16
|
||||
},
|
||||
{
|
||||
"height": 4,
|
||||
"widget": {
|
||||
"title": "firewalls_per_project_vpc_usage",
|
||||
"xyChart": {
|
||||
"chartOptions": {
|
||||
"mode": "COLOR"
|
||||
},
|
||||
"dataSets": [
|
||||
{
|
||||
"minAlignmentPeriod": "60s",
|
||||
"plotType": "LINE",
|
||||
"targetAxis": "Y1",
|
||||
"timeSeriesQuery": {
|
||||
"apiSource": "DEFAULT_CLOUD",
|
||||
"timeSeriesFilter": {
|
||||
"aggregation": {
|
||||
"alignmentPeriod": "60s",
|
||||
"crossSeriesReducer": "REDUCE_SUM",
|
||||
"groupByFields": [
|
||||
"metric.label.\"project\""
|
||||
],
|
||||
"perSeriesAligner": "ALIGN_MEAN"
|
||||
},
|
||||
"filter": "metric.type=\"custom.googleapis.com/firewalls_per_project_vpc_usage\" resource.type=\"global\"",
|
||||
"secondaryAggregation": {
|
||||
"alignmentPeriod": "60s",
|
||||
"perSeriesAligner": "ALIGN_NONE"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"thresholds": [],
|
||||
"timeshiftDuration": "0s",
|
||||
"yAxis": {
|
||||
"label": "y1Axis",
|
||||
"scale": "LINEAR"
|
||||
}
|
||||
}
|
||||
},
|
||||
"width": 6,
|
||||
"xPos": 0,
|
||||
"yPos": 20
|
||||
},
|
||||
{
|
||||
"height": 4,
|
||||
"widget": {
|
||||
"title": "firewalls_per_project_utilization",
|
||||
"xyChart": {
|
||||
"chartOptions": {
|
||||
"mode": "COLOR"
|
||||
},
|
||||
"dataSets": [
|
||||
{
|
||||
"minAlignmentPeriod": "60s",
|
||||
"plotType": "LINE",
|
||||
"targetAxis": "Y1",
|
||||
"timeSeriesQuery": {
|
||||
"apiSource": "DEFAULT_CLOUD",
|
||||
"timeSeriesFilter": {
|
||||
"aggregation": {
|
||||
"alignmentPeriod": "60s",
|
||||
"crossSeriesReducer": "REDUCE_MAX",
|
||||
"groupByFields": [
|
||||
"metric.label.\"project\""
|
||||
],
|
||||
"perSeriesAligner": "ALIGN_MAX"
|
||||
},
|
||||
"filter": "metric.type=\"custom.googleapis.com/firewalls_per_project_utilization\" resource.type=\"global\"",
|
||||
"secondaryAggregation": {
|
||||
"alignmentPeriod": "60s",
|
||||
"perSeriesAligner": "ALIGN_NONE"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"thresholds": [],
|
||||
"timeshiftDuration": "0s",
|
||||
"yAxis": {
|
||||
"label": "y1Axis",
|
||||
"scale": "LINEAR"
|
||||
}
|
||||
}
|
||||
},
|
||||
"width": 6,
|
||||
"xPos": 6,
|
||||
"yPos": 20
|
||||
},
|
||||
{
|
||||
|
|
@ -391,15 +500,13 @@
|
|||
"plotType": "LINE",
|
||||
"targetAxis": "Y1",
|
||||
"timeSeriesQuery": {
|
||||
"apiSource": "DEFAULT_CLOUD",
|
||||
"timeSeriesFilter": {
|
||||
"aggregation": {
|
||||
"alignmentPeriod": "60s",
|
||||
"perSeriesAligner": "ALIGN_MEAN"
|
||||
},
|
||||
"filter": "metric.type=\"custom.googleapis.com/ip_addresses_per_subnet_utilization\" resource.type=\"global\"",
|
||||
"secondaryAggregation": {
|
||||
"alignmentPeriod": "60s"
|
||||
}
|
||||
"filter": "metric.type=\"custom.googleapis.com/ip_addresses_per_subnet_utilization\" resource.type=\"global\""
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -412,48 +519,9 @@
|
|||
}
|
||||
},
|
||||
"width": 6,
|
||||
"xPos": 6,
|
||||
"yPos": 16
|
||||
},
|
||||
{
|
||||
"height": 4,
|
||||
"widget": {
|
||||
"title": "dynamic_routes_ppg_utilization",
|
||||
"xyChart": {
|
||||
"chartOptions": {
|
||||
"mode": "COLOR"
|
||||
},
|
||||
"dataSets": [
|
||||
{
|
||||
"minAlignmentPeriod": "60s",
|
||||
"plotType": "LINE",
|
||||
"targetAxis": "Y1",
|
||||
"timeSeriesQuery": {
|
||||
"timeSeriesFilter": {
|
||||
"aggregation": {
|
||||
"alignmentPeriod": "60s",
|
||||
"perSeriesAligner": "ALIGN_MEAN"
|
||||
},
|
||||
"filter": "metric.type=\"custom.googleapis.com/dynamic_routes_per_peering_group_utilization\" resource.type=\"global\"",
|
||||
"secondaryAggregation": {
|
||||
"alignmentPeriod": "60s"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"timeshiftDuration": "0s",
|
||||
"yAxis": {
|
||||
"label": "y1Axis",
|
||||
"scale": "LINEAR"
|
||||
}
|
||||
}
|
||||
},
|
||||
"width": 6,
|
||||
"xPos": 6,
|
||||
"yPos": 20
|
||||
"xPos": 0,
|
||||
"yPos": 24
|
||||
}
|
||||
]
|
||||
},
|
||||
"name": "projects/347834224817/dashboards/1bdcd06a-030d-4977-bf4b-f32231aa3b77"
|
||||
}
|
||||
}
|
||||
Loading…
Reference in New Issue