Prevent Airflow from back filling jobs - airflow

Question

We use the most recent Airflow v1.10.7 and have set catchup_by_default=False in the airflow.cfg and set catchup=False in each one of our dags and set catchup=False in the default args.
But still the airflow backfills and runs the jobs. We really want to use Airflow but this is a show stopper. Also why does the dag run automatically when it's first created even though catchup = False?
Thanks for your help.
Sample dag:
from airflow import DAG
from utils.general import Schedule, default_args, AbcComputeOperator
from airflow.operators.http_operator import SimpleHttpOperator
from datetime import datetime, timedelta
default_args = {
'owner': 'abc',
'depends_on_past': False,
'start_date': datetime(2020, 1, 1),
'email': ['abc#abc.com'],
'email_on_failure': True,
'email_on_retry': False,
'retries': 0
}
DAG_py:
with DAG(
'abc_dag,
catchup=False,
default_args=default_args,
schedule_interval=Schedule.daily_0800.value) as dag:
t = SimpleHttpOperator(
http_conn_id = 'core',
task_id='send_abc_alerts',
dag=dag,
method='GET',
data={'Url': 'abc'},
endpoint='abc/callapi',
log_response=True,
response_check=lambda r: True
)
Docker-compose.yml:
version: '3.7'
services:
postgres:
image: postgres:9.6
environment:
- POSTGRES_USER=airflow
- POSTGRES_PASSWORD=abc
- POSTGRES_DB=airflow
logging:
options:
max-size: 10m
max-file: "3"
webserver:
image: puckel/docker-airflow:1.10.7
restart: always
depends_on:
- postgres
environment:
- LOAD_EX=n
- EXECUTOR=Local
- AIRFLOW__CORE__DEFAULT_TIMEZONE=America/New_York
- AIRFLOW__SCHEDULER__CATCHUP_BY_DEFAULT=False
- AIRFLOW__WEBSERVER__BASE_URL=http://1.1.1.1:8080
- AIRFLOW__SMTP__SMTP_STARTTLS=False
- AIRFLOW__SMTP__SMTP_PORT=587
- AIRFLOW__SMTP__SMTP_HOST=0.0.0.0
logging:
options:
max-size: 10m
max-file: "3"
volumes:
- /home/ec2-user/airflow/dags:/usr/local/airflow/dags
# - ./plugins:/usr/local/airflow/plugins
ports:
- "8080:8080"
- "587:587"
command: webserver
healthcheck:
test: ["CMD-SHELL", "[ -f /usr/local/airflow/airflow-webserver.pid ]"]
interval: 30s
timeout: 30s
retries: 3