def cb(c):
with Diagram('Context Broker Pod',
filename='cb',
show=False,
graph_attr={'pad': '0.0'}):
_kafka = Kafka('Kafka')
_zk = Zookeeper('Zookeeper')
_logstash = Logstash('Logstash')
_elasticsearch = Elasticsearch('Elasticsearch')
_kibana = Kibana('Kibana')
_cb_man = Python('cb-manager')
with Cluster('elasticsearch-config'):
_elasticsearch_cfg = [
CM('elasticsearch.yml'),
CM('log4j2.properties')
]
_ = _elasticsearch_cfg - _elasticsearch
with Cluster('logstash-config'):
_logstash_cfg = [CM('logstash.yml'), CM('log4j2.properties')]
_ = _logstash_cfg - _logstash
with Cluster('logstash-pipeline'):
_logstash_pipe = [CM('data.conf')]
_ = _logstash_pipe - _logstash
_zk - _kafka >> _logstash >> _elasticsearch << _cb_man
_elasticsearch << _kibana
_logstash << _cb_man >> _kafka
def cb(c, version):
with Diagram(f'Context Broker (ver. {version}) Pod', filename=f'cb-{version}', show=False, graph_attr={'pad': '0.0'}):
_metricbeat = Beats('Metricbeat')
_heartbeat = Beats('Heartbeat')
_kafka = Kafka('Kafka')
_zk = Zookeeper('Zookeeper')
_logstash = Logstash('Logstash')
_elasticsearch = Elasticsearch('Elasticsearch')
_kibana = Kibana('Kibana')
with Cluster('elasticsearch-config'):
_elasticsearch_cfg = [CM(f'elasticsearch-{version}.yml'), CM('log4j2.properties')]
_ = _elasticsearch_cfg - _elasticsearch
with Cluster('heartbeat-config'):
_heartbeat_cfg = [CM('hearbeat.yml')]
_ = _heartbeat_cfg - _heartbeat
with Cluster('heartbeat-monitor'):
_heartbeat_monitor = [CM('elasticsearch.yml'), CM('host.yml'), CM('kafka.yml'),
CM('kibana.yml'), CM('logstash.yml'), CM('zookeeper.yml')]
_ = _heartbeat_monitor - _heartbeat
with Cluster('kibana-config'):
_kibana_cfg = [CM('kibana.yml')]
_ = _kibana_cfg - _kibana
with Cluster('logstash-config'):
_logstash_cfg = [CM('logstash.yml'), CM('pipelines.yml'), CM('log4j2.properties')]
_ = _logstash_cfg - _logstash
with Cluster('logstash-pipeline'):
_logstash_pipe = [CM('apache.conf'), CM('mysql.conf'), CM('ssh-server.conf'), CM('system.conf')]
_ = _logstash_pipe - _logstash
with Cluster('metricbeat-config'):
_metricbeat_cfg = [CM('metricbeat.yml')]
_ = _metricbeat_cfg - _metricbeat
with Cluster('metricbeat-modules'):
_metricbeat_mod = [CM('kafka.yml')]
_ = _metricbeat_mod - _metricbeat
_zk - _kafka >> _logstash >> _elasticsearch
_elasticsearch << _kibana
_logstash << _metricbeat
_logstash << _heartbeat
# kubernetes-diagram.py
# run the cmd: python3 cyri-lan-archi-diagram.py to generate the png file.
from diagrams import Cluster, Diagram
from diagrams.generic.network import Switch, Router
from diagrams.generic.storage import Storage
from diagrams.k8s.compute import Pod
from diagrams.k8s.network import Ingress, Service
from diagrams.k8s.storage import PV, PVC, StorageClass
from diagrams.elastic.elasticsearch import Elasticsearch, Logstash, Kibana
from diagrams.oci.connectivity import DNS
from diagrams.onprem.compute import Server, Nomad
with Diagram("Kubernetes Diagram", show=False):
synology = DNS("reverse DNS")
with Cluster("RaspberryPi4 + K3S"):
ingress = Ingress("cyri.intra")
svc = Service("services")
pvc = PVC("pv claim")
with Cluster("apps"):
logstash = Logstash("logstash-oss")
elasticsearch = Elasticsearch("elasticsearch")
squid = Server("squid")
elk = [elasticsearch - logstash - Kibana("kibana")]
with Cluster("local-storage"):
pv = [StorageClass("storage class") >> PV("persistent volume")]
k8s = ingress >> svc
k8s >> squid >> pvc << pv
k8s >> logstash >> pvc << pv
synology << ingress
apps = []
for _ in range(replica_count):
pod = Pod("pod")
apps.append(svc >> pod >> db)
return svc
with Diagram("Lorem Ipsum Cloud Native", show=True, filename='lorem_ipsum_cloud_native'):
ui = React("UI")
with Cluster("Kube"):
net = Istio("loremipsum.com")
with Cluster('Logging'):
logging = Fluentd('logging')
es = ElasticSearch('index')
kibana = Kibana('Log View')
logging >> es >> kibana
with Cluster('Monitoring'):
metrics = Prometheus('metrics')
monitoring = Grafana('monitoring')
tracing = Jaeger('tracing')
with Cluster("DB") as cluster:
db_books = PostgreSQL("books")
db_auth = PostgreSQL("auth")
# pvc = PVC("pvc")
# pvc << [db_books, db_auth]
with Cluster('Lorem Ipsum Apps'):
books_svc = Service('books')
apps = []
for _ in range(2):
def main():
graph_attr = {
"fontsize": "45",
'overlap_scaling': '100',
'size': '24!',
'ratio': 'expand'
}
with Diagram(name='Automation Framework Swarm', direction='LR', graph_attr=graph_attr):
with Cluster('Docker Cluster'):
docker = Docker('Docker')
with Cluster('container1'):
python_container = Python('APIs\nOther Microservices')
with Cluster('Kafka Cluster'):
with Cluster('Zookeeper'):
Zookeeper('Zookeeper\ntcp:2181')
with Cluster('REST Proxy'):
rest_proxy = Custom('REST Proxy\ntcp:8082', 'custom_icons/REST-API.png')
with Cluster('Control Center'):
control_center = Kafka('Control Center\ntcp:9021')
with Cluster('Schema Registry'):
schema_registry = Storage('Schema Registry\ntcp:8081')
with Cluster('Brokers'):
broker_1 = Kafka('Broker 1\ntcp:9092')
kafka_brokers = [
broker_1,
Kafka('Broker 2\ntcp:9093'),
Kafka('Broker 3\ntcp:9094')
]
with Cluster('Secrets Managers'):
vault = Vault('HashiCorp Vault\ntcp:8200')
secrets_managers = [
vault,
]
with Cluster('Logging and Search'):
with Cluster('Search and Logging'):
elastic_search = Elasticsearch('Elastic Search\ntcp:9200')
kibana = Kibana('Kibana\ntcp:5601')
logstash = Logstash('Logstash\ntcp:5044')
search_log = [
elastic_search,
kibana,
logstash
]
with Cluster('Inventory and Connectivity'):
with Cluster('Inventory'):
nautobot = Custom('Nautobot\ntcp:8000', 'custom_icons/Nautobot.jpeg')
kafka_brokers - python_container
python_container - vault
python_container - nautobot
nautobot - logstash
python_container - logstash
def main():
graph_attr = {
"fontsize": "45",
'overlap_scaling': '100',
'size': '24!',
'ratio': 'expand'
}
with Diagram(name='Automation Framework Compose',
direction='LR',
graph_attr=graph_attr):
with Cluster('Docker Cluster'):
docker = Docker('Docker')
with Cluster('container1'):
python_container = Python('APIs\nOther Microservices')
with Cluster('Docker Registry'):
docker_registry_container = Docker('Docker Registry\ntcp:5000')
with Cluster('Docker Registry Browser'):
docker_registry_browser_container = Python(
'Docker Registry Browser\ntcp:8088')
with Cluster('BatFish'):
batfish_container = Custom(
'BatFish\ntcp:8888\ntcp:9997\ntcp:9996',
'custom_icons/BatFish.png')
with Cluster('Kafka Cluster'):
with Cluster('Zookeeper'):
Zookeeper('Zookeeper\ntcp:2181')
with Cluster('REST Proxy'):
rest_proxy = Custom('REST Proxy\ntcp:8082',
'custom_icons/REST-API.png')
with Cluster('Control Center'):
control_center = Kafka('Control Center\ntcp:9021')
with Cluster('Schema Registry'):
schema_registry = Storage('Schema Registry\ntcp:8081')
with Cluster('Brokers'):
broker_1 = Kafka('Broker 1\ntcp:9092')
kafka_brokers = [
broker_1,
Kafka('Broker 2\ntcp:9093'),
Kafka('Broker 3\ntcp:9094')
]
with Cluster('Secrets Managers'):
vault = Vault('HashiCorp Vault\ntcp:8200')
secrets_managers = [
vault,
]
with Cluster('Logging and Search'):
with Cluster('ELK Stack'):
elastic_search = Elasticsearch('Elastic Search\ntcp:9200')
kibana = Kibana('Kibana\ntcp:5601')
logstash = Logstash('Logstash\ntcp:5044')
search_log = [elastic_search, kibana, logstash]
with Cluster('Influxdb'):
infulxdb = Influxdb('Influxdb\ntcp:8086')
with Cluster('Grafana'):
grafana = Grafana('Grafana\ntcp:3000')
with Cluster('Inventory and Connectivity'):
with Cluster('Inventory'):
nautobot = Custom('Nautobot\ntcp:8000',
'custom_icons/Nautobot.jpeg')
with Cluster('Database'):
with Cluster('Mongo dB'):
mongodb = Mongodb('MongoDb\ntcp:27017')
mongodb_express = Mongodb('MongoDb Express\ntcp:8181')
mongo_group = [mongodb, mongodb_express]
with Cluster('CI/CD'):
team_city = TC('TeamCity')
kafka_brokers - python_container
python_container - vault
python_container - nautobot
nautobot - logstash
python_container - logstash
nautobot - infulxdb
python_container - infulxdb
python_container - mongodb
thanos = Thanos("\nThanos")
prometheus - thanos
with Cluster("Storage", graph_attr=graph_attr):
with Cluster("Logs", graph_attr=graph_attr):
elasticsearch = Elasticsearch("\nElasticsearch")
solr = Solr("\nSolr")
mongodb = Mongodb("\nMongoDB")
elasticsearch - solr - mongodb
with Cluster("Metrics", graph_attr=graph_attr):
influx = Influxdb("\nInfluxDB")
prometheus2 = Prometheus("\nPrometheus")
prometheus2 - influx
loki >> elasticsearch
thanos >> prometheus2
with Cluster("Visualization", graph_attr=graph_attr):
kibana = Kibana("\nKibana")
grafana = Grafana("\nGrafana")
influx >> kibana
mongodb >> grafana
with Cluster("Cloud", graph_attr=graph_attr):
with Cluster("Azure", graph_attr=graph_attr):
azlog = LogAnalyticsWorkspaces("\nLog Analytics")
with Cluster("AWS", graph_attr=graph_attr):
awslog = Cloudwatch("\nCloudwatch")
grafana >> Edge(color="white") >> azlog