Hi,
Your list already covers many of the main areas I would look at. I think one useful first step is separating proactive monitoring from troubleshooting tools.
For example, chrome://webrtc-internals, HAR files, PCAPs, browser logs, and manual Data Action tests are extremely useful, but I normally use them after an alert or user report. I see them more as diagnostic tools than continuous monitoring solutions.
From an operational perspective, I would roughly divide the responsibilities between L1, L2, and L3.
L1 should focus on identifying the impact quickly and checking whether the issue is global, organizational, or isolated. This could include checking the Genesys Cloud Status page, Operational Console events and alert rules, SIP trunk and Edge status, integration activation status, campaign health, queue backlog, excessive waiting time, lack of available agents, and basic validation of the affected channel or business process.
I would also give L1 a standard checklist for collecting evidence, including the exact timestamp and time zone, affected users, queues, conversation IDs, screenshots, and error messages. That information makes the next investigation much easier and avoids receiving only an "it is not working" ticket without enough context.
L2 could investigate API errors and increases in 4xx, 429, or 5xx responses, API consumption by OAuth client, Data Action failures, authentication, response times, returned data, campaign diagnostics, Architect flow behavior, WebRTC metrics, recent network changes, integration credentials, permissions, tokens, and connectivity.
The Genesys API Usage report is useful for identifying consumption trends, endpoints, OAuth clients, and response errors. However, I would not treat it as a real-time monitoring solution. For immediate detection, it is better to also monitor the application or middleware that is consuming the Genesys APIs.
The same applies to Data Actions and external integrations. An integration showing as active in Genesys does not always mean the complete business process is working correctly.
L3 would normally handle application and middleware logs, retry and exponential backoff behavior, API rate-limit handling, authentication and secret rotation, schema or contract changes, performance bottlenecks, Snowflake, Microsoft Graph, other external services, and end-to-end transaction tracing.
For external platforms, I would monitor authentication failures, latency, throttling, unavailable services, failed tasks or queries, and unexpected response data.
A useful approach could be creating a simple synthetic health check that periodically validates the complete business path. For example, checking whether the middleware can authenticate, whether the external service is responding, whether the expected data is being returned, and whether Genesys can consume and process that response correctly.
Sometimes every individual component appears green, but the actual customer journey is still broken.
Some points that are often overlooked are OAuth secrets or certificates approaching expiration, repeated 429 errors hidden by automatic retries, increasing Data Action response times before a complete failure, firewall, proxy, DNS, or VPN changes, campaigns that are running but waiting for agents, outbound lines, or callable contacts, external APIs returning HTTP 200 with incomplete or invalid business data, and Operational Console events that are visible but do not yet have an alert configured.
For campaigns, the Campaign Health and Diagnostics information can help identify situations where a campaign appears active but is actually waiting for agents, contacts, or outbound lines.
Where Genesys does not provide native continuous monitoring, I would send health-check results, logs, and alerts to the monitoring platform already used by the organization, such as Splunk, Datadog, Dynatrace, Grafana, Azure Monitor, or CloudWatch.
If the team still cannot isolate the issue, I would escalate it to Genesys Customer Care with the collected timestamps, conversation IDs, affected entities, error responses, and the appropriate diagnostic files.
I do not think there is one perfect checklist for every environment, especially when several external services are involved. However, separating platform health, integration health, and the complete customer journey is usually a solid starting point.
I put this together based on what I normally check in similar environments and also cross-referenced a few points in the Genesys Cloud Resource Center to support the suggestions. I hope this helps your team in some way.
Useful references:
Genesys Cloud Status:
https://status.mypurecloud.com/
API Usage report:
https://help.genesys.cloud/articles/api-usage-report/
Operational Console:
https://help.genesys.cloud/articles/troubleshoot-using-the-genesys-cloud-operational-console/
WebRTC Diagnostics:
https://help.genesys.cloud/articles/run-the-built-in-genesys-cloud-webrtc-diagnostics-app/
Campaign Health and Diagnostics:
https://help.genesys.cloud/articles/campaigns-view/