hello everybody. when a pod with opa + opal-client...
# opal
a
hello everybody. when a pod with opa + opal-client as sidecar is booted, this container is extremely slow to get healthy. i figured out it depends on the number of rego-policies it fetches from the repo (currently 480 policies) this is the log: 2025-11-18T155741.165363+0000 | 15 | uvicorn.protocols.http.httptools_impl | INFO | 10.100.32.100:57604 - "GET /healthcheck HTTP/1.1" 503 2025-11-18T155745.382529+0000 | 15 | uvicorn.protocols.http.httptools_impl | INFO | 10.100.32.100:57612 - "GET /ready HTTP/1.1" 503 2025-11-18T155751.164121+0000 | 15 | opal_client.policy_store.opa_client |*WARNING | OPA client health: False (policy: False, data: True)* it takes ~10minutes or even longer how can i solve the issue? is this something known? can I workaround it?
a
Hi @Andrea Di Saverio, I'm an AI assistant for Permit.io. I'll analyze available sources and get back to you shortly.
This slow startup issue with 480 policies is likely related to how OPAL fetches and processes policies from your repository. Based on the logs showing
policy: False
in the health check, the bottleneck appears to be in the policy loading phase (1) . Here are some configuration options to help improve the startup time: 1. ​*Adjust the Git clone timeout*​: You can set
OPAL_POLICY_REPO_CLONE_TIMEOUT
to control how long OPAL waits for the Git clone operation . The default is
0
(waits indefinitely) , but you might want to set a specific timeout to identify if cloning is the issue. 2. ​*Enable repository reuse*​: Set
OPAL_POLICY_REPO_REUSE_CLONE_PATH=True
to reuse an existing clone instead of creating a new one on each startup . This can significantly reduce startup time if the pod restarts frequently. 3. ​*Configure worker count*​: Adjust
OPAL_FETCHING_WORKER_COUNT
(default is
6
) to increase parallel fetching of policies . 4. ​*Use policy bundles*​: Consider using the API bundle approach instead of Git by setting
OPAL_POLICY_SOURCE_TYPE=API
and configuring
OPAL_POLICY_BUNDLE_URL
. This can be faster for large policy sets as it downloads a pre-packaged bundle rather than cloning a repository. 5. ​*Filter unnecessary files*​: Use
OPAL_FILTER_FILE_EXTENSIONS
to only process relevant policy files (default is
[".rego", ".json"]
) . Also, you can use
OPAL_BUNDLE_IGNORE
to exclude specific paths from being processed . 6. ​*Check retry settings*​: Review
OPAL_POLICY_UPDATER_CONN_RETRY
configuration which controls retry behavior when connecting to the policy source . The architecture shows that OPAL Client fetches policies from the OPAL Server, which in turn retrieves them from your Git repository (2) . With 480 policies, the initial synchronization can indeed take time, especially if each policy needs to be individually processed. For immediate troubleshooting, you might want to enable more detailed logging with
OPAL_LOG_LEVEL=DEBUG
to see exactly where the time is being spent (1) .
To learn more, see the sources I considered: [[1] OPAL Configuration Guide | OPAL](https://docs.opal.ac/getting-started/configuration) [[2] Architecture 🏗️](https://docs.opal.ac/overview/architecture)
o
AI has given good advice. 10 minutes is way beyond expected time. I'd also consider increasing resources allocation to the containers
a
i'm going to use the suggestion number 2
@Or Weis what's the cause of the slowness? i'm not getting it. it's not network, since the opal-server has already fetched the entire repo... any clue?
o
I don't know. my best guess is too low resources allocated to your containers