VMware Aria Suite Lifecycle 'About' Screen Hangs on 'Fetching' After Patching
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VMware Aria Suite Lifecycle 'About' Screen Hangs on 'Fetching' After Patching

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Article ID: 438474

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Updated On:

Products

VCF Operations/Automation (formerly VMware Aria Suite)

Issue/Introduction

After successfully applying a patch (e.g., Patch 7) to VMware Aria Suite Lifecycle (formerly vRealize Suite Lifecycle Manager), users encounter the following behavior:

  • Navigating to the About link in the UI displays a status of "Fetching" indefinitely.
  • The request eventually times out, and no version information is displayed.
  • The Settings > System Patches > Patch Details screen correctly shows the patch as Applied.

Cause

This issue occurs when the internal API request used to populate the "About" modal exceeds the default Nginx timeout period (60 seconds). This can be caused by high appliance load, large environment inventories, or database synchronization delays following a patch

Resolution

Workaround 1: Browser and Inventory Refresh

  1. Clear the browser cache or open the Aria Suite Lifecycle UI in an Incognito/Private window.
  2. Navigate to Lifecycle Operations > Environments.
  3. Locate the Global Configuration or affected environment and select Trigger Inventory Sync.
  4. Once the sync task completes, attempt to access the About screen again.

Workaround 2: Increase Nginx Timeout Settings

If the issue persists, the timeout values on the appliance can be increased manually.

This command will make changes to your system. Review it carefully before running.

bash
 
# 1. SSH into the Aria Suite Lifecycle appliance as root.
# 2. Edit the Nginx configuration file.vim /etc/nginx/nginx.conf
# 3. Locate the location /lcm/lcops/api/ block and ensure the following timeout values are set (or added):location /lcm/lcops/api/ {    proxy_read_timeout 10m;    proxy_send_timeout 10m;}
# 4. Verify the configuration syntax.nginx -t
# 5. Reload the Nginx service.systemctl reload nginx

Impact / Risks

Increasing timeout values allows long-running API calls to complete but may mask underlying performance issues if the environment is significantly oversized for the appliance resources.