Skip to main content

​
Problem Symptoms

API Proxy deployment issues usually manifest themselves with the following symptoms:
  • Deployment operation failing
  • API Proxy not being deployable
  • API not working after deployment
  • Version conflict errors
  • Environment mismatch errors

​
Problem Causes

API Proxy deployment issues can usually be caused by the following factors:
  • Configuration Errors: Errors in API Proxy configuration
  • Environment Issues: Target environment not being ready
  • Resource Insufficiency: Insufficient CPU, RAM, or storage
  • Dependency Issues: Missing or incompatible dependencies
  • Network Issues: Gateway access issues
  • Policy Issues: Policies not being deployable
  • Version Conflict: Version conflicts

​
Detection Methods

​
1. Deployment Log Analysis

1

Check Log Files

Check deployment logs:
kubectl logs <gateway-pod-name> | grep -i "deploy"
kubectl logs <gateway-pod-name> | grep -i "error"
kubectl describe pod <gateway-pod-name>

​
2. Checking API Proxy Status

Follow the steps below to check API Proxy status:
  • Check API Proxy’s deployment status
  • Check which environment it was deployed to
  • Review deployment history

​
3. Environment Check

Check the target environment:
  • Check that the environment is active
  • Check that Gateway pods are running
  • Check environment resources

​
Solution Recommendations

​
1. Configuration Check

Check API Proxy configuration:
  • Endpoints: Are endpoint definitions correct?
  • Policies: Are policies correctly configured?
  • Upstream Targets: Are backend targets correct?
  • Routing: Are routing rules correct?

​
2. Environment Preparation

Prepare the environment:
  • Ensure the environment is active
  • Check that Gateway pods are running
  • Check that there are sufficient resources
  • Check network connection

​
3. Resource Allocation

Ensure there are sufficient resources: 
resources:
  limits:
    cpu: "2"
    memory: "4Gi"
  requests:
    cpu: "1"
    memory: "2Gi"

​
4. Dependency Check

Check dependencies:
  • Are policies deployed?
  • Are Connections defined?
  • Are Identity Providers ready?
  • Are Certificates loaded?

​
5. Version Management

Check version management:
  • Check current version
  • Resolve version conflicts
  • Use rollback mechanism

​
6. Incremental Deployment

Perform incremental deployment:
  • Deploy to test environment first
  • Move to production after tests pass
  • Use blue-green deployment
  • Use canary deployment

​
Common Error Scenarios and Solutions

​
Scenario 1: Policy Deployment Error

Symptoms:
  • “Policy deployment failed” error
  • Policies not being applied
Solution:
  • Check policy configuration
  • Check policy syntax
  • Check policy dependencies

​
Scenario 2: Environment Not Found

Symptoms:
  • “Environment not found” error
  • Deployment not finding target environment
Solution:
  • Check environment name
  • Check that environment is active
  • Check environment access permissions

​
Scenario 3: Resource Exhaustion

Symptoms:
  • “Insufficient resources” error
  • Pods not being schedulable
Solution:
  • Check cluster resources
  • Reduce resource requests
  • Enable auto-scaling

​
Scenario 4: Network Connectivity

Symptoms:
  • “Connection refused” error
  • Cannot access Gateway
Solution:
  • Check network policies
  • Check service endpoints
  • Check DNS resolution

​
Best Practices

​
1. Pre-Deployment Checklist

Pre-deployment checklist:
  • Is API Proxy configuration correct?
  • Are all policies deployed?
  • Is environment ready?
  • Are there sufficient resources?
  • Did tests pass?

​
2. Deployment Strategy

Apply the following approaches for deployment strategy:
  • Test First: Deploy to test environment first
  • Gradual Rollout: Perform gradual rollout
  • Monitoring: Monitor after deployment
  • Rollback Plan: Prepare rollback plan

​
3. Monitoring

Track the following metrics for post-deployment monitoring:
  • Monitor API Proxy status
  • Check error rates
  • Monitor response times
  • Check resource usage