# Ray quick start demo not working on AWS **URL:** \ **Category:** Ray Clusters\ **Created:** [July 1, 2022, 7:36pm UTC](https://discuss.ray.io/t/ray-quick-start-demo-not-working-on-aws/6697 "2022-07-01T19:36:42Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![cwikibm](https://avatars.discourse-cdn.com/v4/letter/c/ac91a4/32.png) [@cwikibm](https://discuss.ray.io/u/cwikibm)\ **Post date:** [July 1, 2022, 7:36pm UTC](https://discuss.ray.io/t/ray-quick-start-demo-not-working-on-aws/6697/1 "2022-07-01T19:36:42Z")
I am trying to deploy ray demo on AWS from my MAC as described here: [https://docs.ray.io/en/latest/cluster/quickstart.html](https://docs.ray.io/en/latest/cluster/quickstart.html) I ran: ray up -y config.yaml to deploy ray cluster on AWS. I can ssh to the head node and see ray processes: netstat -lntp Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name tcp 0 0 127.0.0.53:53 0.0.0.0:\* LISTEN - tcp 0 0 0.0.0.0:22 0.0.0.0:\* LISTEN - tcp 0 0 0.0.0.0:44217 0.0.0.0:\* LISTEN 3611/python tcp 0 0 0.0.0.0:111 0.0.0.0:\* LISTEN - tcp6 0 0 :::22 :::\* LISTEN - tcp6 0 0 :::6379 :::\* LISTEN 3594/gcs\_server tcp6 0 0 :::111 :::\* LISTEN - tcp6 0 0 :::10001 :::\* LISTEN 3618/python Per demo instructions I’ve changed script.py to use import ray ray.init(address=‘auto’) However when I run: ray submit config.yaml script.py, I get an error 2022-07-01 13:44:29,385 INFO util.py:335 – setting max workers for head node type to 0 2022-07-01 13:44:29,385 INFO util.py:339 – setting max workers for ray.worker.default to 2 Loaded cached provider configuration If you experience issues with the cloud provider, try re-running the command with --no-config-cache. Fetched IP: xx.xx.xx.xx 2022-07-01 13:44:31,274 INFO util.py:335 – setting max workers for head node type to 0 2022-07-01 13:44:31,274 INFO util.py:339 – setting max workers for ray.worker.default to 2 Fetched IP: xx.xx.xx.xx Traceback (most recent call last): File “/home/ubuntu/script.py”, line 7, in ray.init(address=‘auto’) File “/home/ubuntu/anaconda3/envs/tensorflow2\_latest\_p37/lib/python3.7/site-packages/ray/\_private/client\_mode\_hook.py”, line 105, in wrapper return func(\*args, \*\*kwargs) File “/home/ubuntu/anaconda3/envs/tensorflow2\_latest\_p37/lib/python3.7/site-packages/ray/\_private/worker.py”, line 1278, in init bootstrap\_address = services.canonicalize\_bootstrap\_address(address) File “/home/ubuntu/anaconda3/envs/tensorflow2\_latest\_p37/lib/python3.7/site-packages/ray/\_private/services.py”, line 459, in canonicalize\_bootstrap\_address addr = get\_ray\_address\_from\_environment() File “/home/ubuntu/anaconda3/envs/tensorflow2\_latest\_p37/lib/python3.7/site-packages/ray/\_private/services.py”, line 358, in get\_ray\_address\_from\_environment addr = \_find\_gcs\_address\_or\_die() File “/home/ubuntu/anaconda3/envs/tensorflow2\_latest\_p37/lib/python3.7/site-packages/ray/\_private/services.py”, line 341, in \_find\_gcs\_address\_or\_die "Could not find any running Ray instance. " ConnectionError: Could not find any running Ray instance. Please specify the one to connect to by setting `--address` flag or `RAY_ADDRESS` environment variable. Shared connection to xx.xx.xx.xx closed. Trying to address the above error I’ve modified script.py to use ray.init(address=‘ray://xx.xx.xx.xx:10001’), where xx.xx.xx.xx=head node ip That change produces a different error: File “/home/ubuntu/anaconda3/envs/tensorflow2\_latest\_p37/lib/python3.7/site-packages/ray/util/client/worker.py”, line 260, in \_connect\_channel raise ConnectionError(“ray client connection timeout”) ConnectionError: ray client connection timeout The original source for script.py: from collections import Counter import socket import time import ray ray.init(address=‘auto’) print(‘’‘This cluster consists of {} nodes in total {} CPU resources in total ‘’’.format(len(ray.nodes()), ray.cluster\_resources()[‘CPU’])) @ray.remote def f(): time.sleep(0.001) # Return IP address. return socket.gethostbyname(socket.gethostname()) object\_ids = [f.remote() for \_ in range(10000)] ip\_addresses = ray.get(object\_ids) print(‘Tasks executed’) for ip\_address, num\_tasks in Counter(ip\_addresses).items(): print(’ {} tasks on {}'.format(num\_tasks, ip\_address)) * * * cluster config file: # An unique identifier for the head node and workers of this cluster. cluster\_name: minimal # Cloud-provider specific configuration. provider: type: aws region: us-east-1 Any ideas how to get this demo running on AWS? Thanks Jerry ---
**Author:** ![Dmitri](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/dmitri/32/657_2.png) [@Dmitri](https://discuss.ray.io/u/Dmitri)\ **Post date:** [July 6, 2022, 5:04pm UTC](https://discuss.ray.io/t/ray-quick-start-demo-not-working-on-aws/6697/2 "2022-07-06T17:04:52Z")
We’ve noted the bug and will look into it early next week. ---
**Author:** ![Dmitri](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/dmitri/32/657_2.png) [@Dmitri](https://discuss.ray.io/u/Dmitri)\ **Post date:** [July 7, 2022, 9:02pm UTC](https://discuss.ray.io/t/ray-quick-start-demo-not-working-on-aws/6697/3 "2022-07-07T21:02:45Z")
Let’s continue the discussion on GitHub. Feel free to add additional details there. > > > \### What happened + What you expected to happen > > The AWS quickstart example appe…ars not to work. Assignees to fill in the details. > See the discussion here: > https://discuss.ray.io/t/ray-quick-start-demo-not-working-on-aws/6697 > > \### Versions / Dependencies > > Ray master? > > \### Reproduction script > > \`ray up aws/example-minimal.yaml\` > > \### Issue Severity > > High: It blocks me from completing my task.