# Sample ray program does not work on kubernetes with ray1.4.0 branch **URL:** \ **Category:** Kubernetes\ **Created:** [June 10, 2021, 4:26pm UTC](https://discuss.ray.io/t/sample-ray-program-does-not-work-on-kubernetes-with-ray1-4-0-branch/2485 "2021-06-10T16:26:20Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![asm582](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/asm582/32/669_2.png) [@asm582](https://discuss.ray.io/u/asm582)\ **Post date:** [June 10, 2021, 4:26pm UTC](https://discuss.ray.io/t/sample-ray-program-does-not-work-on-kubernetes-with-ray1-4-0-branch/2485/1 "2021-06-10T16:26:20Z")
Running sample gives me the below error: $ python ray/doc/kubernetes/example\_scripts/run\_local\_example.py /home/asmalvan/anaconda3/envs/ray/lib/python3.7/site-packages/ray/autoscaler/\_private/cli\_logger.py:61: FutureWarning: Not all Ray CLI dependencies were found. In Ray 1.4+, the Ray CLI, autoscaler, and dashboard will only be usable via `pip install 'ray[default]'`. Please update your install command. “update your install command.”, FutureWarning) Iteration 0 Traceback (most recent call last): File “ray/doc/kubernetes/example\_scripts/run\_local\_example.py”, line 58, in main() File “ray/doc/kubernetes/example\_scripts/run\_local\_example.py”, line 49, in main print(Counter(ray.get(results))) File “/home/asmalvan/anaconda3/envs/ray/lib/python3.7/site-packages/ray/\_private/client\_mode\_hook.py”, line 61, in wrapper return getattr(ray, func. **name** )(\*args, \*\*kwargs) File “/home/asmalvan/anaconda3/envs/ray/lib/python3.7/site-packages/ray/util/client/api.py”, line 42, in get return self.worker.get(vals, timeout=timeout) File “/home/asmalvan/anaconda3/envs/ray/lib/python3.7/site-packages/ray/util/client/worker.py”, line 202, in get res = self.\_get(obj\_ref, op\_timeout) File “/home/asmalvan/anaconda3/envs/ray/lib/python3.7/site-packages/ray/util/client/worker.py”, line 225, in \_get raise err types.RayTaskError(RayOutOfMemoryError): ray::gethostname() (pid=412, ip=172.17.0.4) File “python/ray/\_raylet.pyx”, line 460, in ray.\_raylet.execute\_task File “python/ray/\_raylet.pyx”, line 481, in ray.\_raylet.execute\_task File “python/ray/\_raylet.pyx”, line 351, in ray.\_raylet.raise\_if\_dependency\_failed ray.exceptions.RayTaskError: ray::gethostname() (pid=412, ip=172.17.0.4) File “python/ray/\_raylet.pyx”, line 458, in ray.\_raylet.execute\_task File “/home/ray/anaconda3/lib/python3.7/site-packages/ray/\_private/memory\_monitor.py”, line 141, in raise\_if\_low\_memory self.error\_threshold)) ray.\_private.memory\_monitor.RayOutOfMemoryError: More than 95% of the memory on node example-cluster-ray-head-type-kjr92 is used (0.49 / 0.5 GB). The top 10 memory consumers are: PID MEM COMMAND 133 0.08GiB /home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/new\_dashboard/ 354 0.08GiB /home/ray/anaconda3/bin/python -m ray.util.client.server --redis-address=172.17.0.4:6379 --port=2300 185 0.07GiB /home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/new\_dashboard/ 117 0.05GiB /home/ray/anaconda3/bin/python -m ray.util.client.server --redis-address=172.17.0.4:6379 --port=1000 412 0.05GiB ray::IDLE 151 0.04GiB /home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/\_private/log\_m 116 0.01GiB /home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs\_server --redis\_address=172. 150 0.01GiB /home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/raylet/raylet --raylet\_socket\_name= 106 0.01GiB /home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/thirdparty/redis/src/redis-server \* 111 0.01GiB /home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/thirdparty/redis/src/redis-server \* Should the resources in the example-cluster.yaml file be updated ? ---
**Author:** ![asm582](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/asm582/32/669_2.png) [@asm582](https://discuss.ray.io/u/asm582)\ **Post date:** [June 10, 2021, 5:43pm UTC](https://discuss.ray.io/t/sample-ray-program-does-not-work-on-kubernetes-with-ray1-4-0-branch/2485/2 "2021-06-10T17:43:02Z")
I increased the worker and head node memory to 2G in file /home/asm/code/ray140/ray/deploy/charts/ray/values.yaml and it works now