Ahmed Ezzat

[feature] static taint analysis

1

*Describe your idea:* It would be beneficial to have some sort of static taint analysis with a forward/backward propagation Examples of feature impl :- https://oversecured.com https://github.com/Ostorlab/ostorlab https://github.com/charles2gan/GDA-android-reversing-Tool

Experimental `KubeCluster` Adaptive mode is broken

1

I hate being the first issue after minutes of release, `KubeCluster2` adapt is broken ```python from dask_kubernetes.experimental import KubeCluster from dask.distributed import Client cluster = KubeCluster(name='helloworld') cluster.adapt(minimum=1, maximum=4) client =...

is there any implemented alternative for `graphene.Union` or a way to integrate the functionality?

Multiple improvements to `Apollo`

1

## Summary A few non-breaking code changes to improve `prefect-apollo` service ## Importance - Prevent artifact folders from being uploaded to `git` - A toggle option for logging as it...

Orion stability downgrades with a large number task runs

3

### First check - [X] I added a descriptive title to this issue. - [X] I used the GitHub search to find a similar issue and didn't find it. -...

### First check - [X] I added a descriptive title to this issue. - [X] I used the GitHub search to find a similar issue and didn't find it. -...

Retire pending workers

11

Based on discussion at https://github.com/dask/dask-kubernetes/issues/817

TOCTOU Bug while scaling down workers

5

The currently implemented logic for deletion can be summarized into: 1) The operator asks the scheduler to retire n of the workers 2) The scheduler retires them (process exits) and...

Allow graceful shutdown

3

`Kubecluster` fails on shutdown with the error below. ``` Exception ignored in atexit callback: Traceback (most recent call last): File "/root/.cache/pypoetry/virtualenvs/raven-Io4q2IrD-py3.11/lib/python3.11/site-packages/dask_kubernetes/operator/kubecluster/kubecluster.py", line 1025, in reap_clusters asyncio.run(_reap_clusters()) File "/usr/lib/python3.11/asyncio/runners.py", line 190,...

Dask scheduler could take a while to retire workers using `/api/v1/retire_workers` since this operation is synchronous from httpx's perspective the server is hanging up the connection thus producing a timeout...