Building a Monitoring and Alerting System using Airflow's Notification and SLA features from scratch.

Airflow.py

pip install apache-airflow
airflow initdb
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from datetime import datetime, timedelta

# Define default_args dictionary to pass to the DAG
default_args = {
    'owner': 'me',
    'start_date': datetime(2022, 1, 1),
    'depends_on_past': False,
    'retries': 1,
    'retry_delay': timedelta(minutes=5)
}

# Instantiate a DAG
dag = DAG(
    'machine_learning_pipeline',
    default_args=default_args,
    schedule_interval=timedelta(days=1) # Run the pipeline every day
)

# Define a task for data preprocessing
def data_preprocessing():
    # Your code for data preprocessing goes here
    pass

data_preprocessing_task = PythonOperator(
    task_id='data_preprocessing',
    python_callable=data_preprocessing,
    dag=dag
)

# Define a task for training
def training():
    # Your code for training goes here
    pass

training_task = PythonOperator(
    task_id='training',
    python_callable=training,
    dag=dag
)

# Define a task for deployment
def deployment():
    # Your code for deployment goes here
    pass

deployment_task = PythonOperator(
    task_id='deployment',
    python_callable=deployment,
    dag=dag
)

# Set the order of the tasks
training_task.set_upstream(data_preprocessing_task)
deployment_task.set_upstream(training_task)


airflow run machine_learning_pipeline data_preprocessing

airflow webserver

from airflow.operators.email_operator import EmailOperator
task_fail_email = EmailOperator(
task_id='send_failure_email',
to='your_email@example.com',
subject='Airflow task failed',
html_content='Task {{ task_instance.task_id }} failed',
trigger_rule='one_failed',
dag=dag)

task >> task_fail_email

from airflow.contrib.operators.slack_webhook_operator import SlackWebhookOperator
task_fail_slack = SlackWebhookOperator(
task_id='send_failure_slack',
http_conn_id='slack',
webhook_token=SLACK_WEBHOOK_TOKEN,
message='Task {{ task_instance.task_id }} failed',
trigger_rule='one_failed',
dag=dag)

task >> task_fail_slack

my_task = BashOperator(
task_id='my_task',
bash_command='echo "Hello World"',
sla=timedelta(hours=2),
dag=dag
)