First time I'm trying to deploy a django app to elastic beanstalk. The application uses django channels.
These are my config files:
option_settings:
aws:elasticbeanstalk:container:python:
WSGIPath: "dashboard/dashboard/wsgi.py"
aws:elasticbeanstalk:application:environment:
DJANGO_SETTINGS_MODULE: "dashboard/dashboard/settings.py"
PYTHONPATH: /opt/python/current/app/dashboard:$PYTHONPATH
aws:elbv2:listener:80:
DefaultProcess: http
ListenerEnabled: 'true'
Protocol: HTTP
Rules: ws
aws:elbv2:listenerrule:ws:
PathPatterns: /websockets/*
Process: websocket
Priority: 1
aws:elasticbeanstalk:environment:process:http:
Port: '80'
Protocol: HTTP
aws:elasticbeanstalk:environment:process:websocket:
Port: '5000'
Protocol: HTTP
container_commands:
00_pip_upgrade:
command: "source /opt/python/run/venv/bin/activate && pip install --upgrade pip"
ignoreErrors: false
01_migrate:
command: "django-admin.py migrate"
leader_only: true
02_collectstatic:
command: "django-admin.py collectstatic --noinput"
03_wsgipass:
command: 'echo "WSGIPassAuthorization On" >> ../wsgi.conf'
When I run eb create django-env
I get the following logs:
Creating application version archive "app-200617_112710".
Uploading: [##################################################] 100% Done...
Environment details for: django-env
Application name: dashboard
Region: us-west-2
Deployed Version: app-200617_112710
Environment ID: e-rdgipdg4z3
Platform: arn:aws:elasticbeanstalk:us-west-2::platform/Python 3.7 running on 64bit Amazon Linux 2/3.0.2
Tier: WebServer-Standard-1.0
CNAME: UNKNOWN
Updated: 2020-06-17 10:27:48.898000+00:00
Printing Status:
2020-06-17 10:27:47 INFO createEnvironment is starting.
2020-06-17 10:27:49 INFO Using elasticbeanstalk-us-west-2-041741961231 as Amazon S3 storage bucket for environment data.
2020-06-17 10:28:10 INFO Created security group named: sg-0942435ec637ad173
2020-06-17 10:28:25 INFO Created load balancer named: awseb-e-r-AWSEBLoa-19UYXEUG5IA4F
2020-06-17 10:28:25 INFO Created security group named: awseb-e-rdgipdg4z3-stack-AWSEBSecurityGroup-17RVV1ZT14855
2020-06-17 10:28:25 INFO Created Auto Scaling launch configuration named: awseb-e-rdgipdg4z3-stack-AWSEBAutoScalingLaunchConfiguration-H5E4G2YJ3LEC
2020-06-17 10:29:30 INFO Created Auto Scaling group named: awseb-e-rdgipdg4z3-stack-AWSEBAutoScalingGroup-1I2C273N6RN8S
2020-06-17 10:29:30 INFO Waiting for EC2 instances to launch. This may take a few minutes.
2020-06-17 10:29:30 INFO Created Auto Scaling group policy named: arn:aws:autoscaling:us-west-2:041741961231:scalingPolicy:8d4c8dcf-d77d-4d18-92d8-67f8a2c1cd9e:autoScalingGroupName/awseb-e-rdgipdg4z3-stack-AWSEBAutoScalingGroup-1I2C273N6RN8S:policyName/awseb-e-rdgipdg4z3-stack-AWSEBAutoScalingScaleDownPolicy-1JAUAII3SCELN
2020-06-17 10:29:30 INFO Created Auto Scaling group policy named: arn:aws:autoscaling:us-west-2:041741961231:scalingPolicy:0c3d9c2c-bc65-44ed-8a22-2f9bef538ba7:autoScalingGroupName/awseb-e-rdgipdg4z3-stack-AWSEBAutoScalingGroup-1I2C273N6RN8S:policyName/awseb-e-rdgipdg4z3-stack-AWSEBAutoScalingScaleUpPolicy-XI8Z22SYWQKR
2020-06-17 10:29:30 INFO Created CloudWatch alarm named: awseb-e-rdgipdg4z3-stack-AWSEBCloudwatchAlarmHigh-572C6W1QYGIC
2020-06-17 10:29:30 INFO Created CloudWatch alarm named: awseb-e-rdgipdg4z3-stack-AWSEBCloudwatchAlarmLow-1RTNBIHPHISRO
2020-06-17 10:33:05 ERROR [Instance: i-01576cfe5918af1c3] Command failed on instance. An unexpected error has occurred [ErrorCode: 0000000001].
2020-06-17 10:33:05 INFO Command execution completed on all instances. Summary: [Successful: 0, Failed: 1].
2020-06-17 10:34:07 ERROR Create environment operation is complete, but with errors. For more information, see troubleshooting documentation.
ERROR: ServiceError - Create environment operation is complete, but with errors. For more information, see troubleshooting documentation.
The error is extremely vague, and I have no clue as to what I'm doing wrong.
I had a similar issue. I used psycopg2-binary instead of psycopg2 and created a new environment. The health status is now ok
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With