Learn how to fix “Error Running Load Balancer Syncing Routine” in GKE. Our Google Cloud Support team is here to answer queries and concerns.
How to Fix “Error Running Load Balancer Syncing Routine” in GKE
Running Kubernetes workloads on Google Kubernetes Engine comes with the powerful integration of Google Cloud’s load balancing features.
However, a standard error faced by block developers is:
Error syncing to GCP: error running load balancer syncing routine: loadbalancer [NAME] does not exist: [specific error details]
This message indicates a problem between Kubernetes Ingress resources and the corresponding Google Cloud load balancer configuration.
Today, we will examine the causes of this error, its impact on our services, and how to resolve it.
An Overview:
Key Impacts of This Error
When this synchronization issue arises, it can affect the entire service availability and application reliability. Here’s a breakdown of some of the impacts:
- External traffic can’t reach the applications.
- End users may experience complete unavailability.
- No proper network path is established.
- Automatic pod scaling is interrupted.
- Traffic isn’t evenly balanced across nodes.
- Kubernetes and GCP can fall out of sync, leading to inefficient resource usage.
- Unintended Exposure: Misconfigurations could route traffic in unsafe ways.
- Security policies might not apply correctly.
- The network may behave in ways that violate internal guidelines.
For a broader understanding of Kubernetes orchestration in cloud environments, check out our comprehensive guide to container orchestration with Kubernetes on Ubuntu.
Common Causes and Fixes
Let’s break down the most common reasons for this error and how to resolve each one.
1. Incorrect Ingress Class Annotation
Misconfigured `ingress.class` annotation in the Ingress manifest.
Click here for the Solution.
Ensure we are using the correct annotation based on the load balancer type.
Here is an external Load Balancer example:
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: external-ingress
annotations:
kubernetes.io/ingress.class: "gce"
spec:
rules:
- http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: my-service
port:
number: 80
Here is an internal Load Balancer example:
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: internal-ingress
annotations:
kubernetes.io/ingress.class: "gce-internal"
spec:
rules:
- http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: my-service
port:
number: 80
This step is particularly relevant during the initial stages of Kubernetes cluster deployment on platforms like Proxmox 8, where misconfiguration can easily occur.
2. Missing Proxy-Only Subnet
Internal Ingress without a required proxy-only subnet in the same region and VPC.
Click here for the Solution.
- We need to create a dedicated proxy-only subnet. So, open Google Cloud Console.
- Then, go to the VPC Network and select the “Subnets” section.
- Next, click “Add Subnet” and configure the subnet with:
- Purpose: Proxy-only subnet
- Region: Match cluster region
- IP range: Dedicated CIDR block
- Network: Cluster’s VPC network
Here is a Subnet Configuration example:
gcloud compute networks subnets create proxy-subnet \
--network=my-vpc \
--region=us-central1 \
--range=10.200.0.0/24 \
--purpose=REGIONAL_MANAGED_PROXY_ONLY
Ensure the region and VPC match the GKE cluster.
3. Static IP Address Configuration Issues
Ingress references a static IP that doesn’t exist or is misconfigured.
Click here for the Solution.
We have to reserve a static IP and reference it properly in the Ingress manifest.
To reserve a static IP in Google Cloud:
gcloud compute addresses create my-static-ip --global –ip-version=IPV4
Here is the Ingress manifest configuration:
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: static-ip-ingress
annotations:
kubernetes.io/ingress.global-static-ip-name: "my-static-ip"
spec:
rules:
- http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: my-service
port:
number: 80
Furthermore, use the correct annotation for static IP:
kubernetes.io/ingress.global-static-ip-name: static-ip-name
Also, remember to verify that the IP address exists in the Google Cloud project
4. BackendConfig Resource Misconfiguration
BackendConfig specified in the Service annotation is missing or incorrect.
Click here for the Solution.
Verify that the BackendConfig resource exists and is correctly linked. If it doesn’t exist, create a BackendConfig resource, add a service annotation, and verify the resource configuration.
Here is a BackendConfig Example:
apiVersion: cloud.google.com/v1
kind: BackendConfig
metadata:
name: my-backendconfig
spec:
timeoutSec: 3600
connectionDraining:
drainingTimeoutSec: 60
Here is the Service Annotation:
apiVersion: v1
kind: Service
metadata:
name: my-service
annotations:
cloud.google.com/backend-config: '{"default": "my-backendconfig"}'
spec:
type: NodePort
selector:
app: my-app
ports:
- port: 80
Also, remember to check for spelling mistakes in BackendConfig references.
If you encounter errors like BackoffLimitExceeded
during job execution, that can also stem from similar misconfiguration issues. Refer to our guide on Kubernetes BackoffLimitExceeded errors for additional troubleshooting tips.
5. Network Endpoint Group (NEG) Configuration Problems
NEG settings are missing or not configured for Ingress-based services.
Click here for the Solution.
In this case, add NEG annotation to the Service manifest:
cloud.google.com/neg: '{"ingress": true}'
Furthermore, ensure that proper Network Policy configurations are in place. We also need to verify the creation of NEG in shared VPC environments.
The NEG Configuration involves enabling container-native load balancing, adding NEG annotation to the service, and verifying network policies.
Here is the NEG Service Annotation:
apiVersion: v1
kind: Service
metadata:
name: my-service
annotations:
cloud.google.com/neg: '{"ingress": true}'
spec:
selector:
app: my-app
ports:
- port: 80
We can verify the NEGs with this command:
kubectl get networkendpointgroups -n <namespace>
Suppose you’re managing your GKE environments through dashboards. In that case, you may also find our walkthrough on setting up the OVH Kubernetes dashboard helpful, especially when visualizing network-related components such as NEGs and Ingresses.
Prevention Tips
We can avoid future issues with these best practices:
- Use `kubectl apply –dry-run=client` and `kubectl validate`.
- Integrate checks in the CI/CD pipelines.
- Maintain a clean, consistent namespace structure.
- Use descriptive naming conventions and labels.
- Watch for Ingress and load balancer events.
- Set up alerts using Google Cloud Monitoring or Prometheus.
- Regularly update GKE and Ingress controllers.
- Test upgrades in staging before rolling them out to production.
- Audit firewall rules, subnets, and NEG settings.
The “error running load balancer syncing routine” in GKE might seem concerning, but with a systematic approach, we can easily manage it. Misconfigured Ingress, missing subnets, or network misalignments are often the culprits.
[Need assistance with a different issue? Our team is available 24/7.]
Conclusion
The “error running load balancer syncing routine” in GKE might seem concerning, but with a systematic approach, we can easily manage it. Misconfigured Ingress, missing subnets, or network misalignments are often the culprits.
In brief, our Support Experts demonstrated how to fix “Error Running Load Balancer Syncing Routine” in GKE.
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