02 Feb 2026
12:57 PM
- last edited on
03 Feb 2026
07:07 AM
by
MaciejNeumann
Dear Experts,
We are using a cloud‑based Pega deployment, where OneAgent installation is not possible. I’m looking for the best way to monitor Pega in Dynatrace under this limitation.
Specifically, I’d like your recommendations on:
Best monitoring approach for Pega without OneAgent
(Custom Extensions, JMX, REST API polling, log ingestion, etc.)
Any existing Dynatrace Extensions for Pega metrics
(e.g., requestors, agents, queue processors, system health)
Suggested integrations using Pega’s diagnostic endpoints or AES
for:
Known limitations or challenges when monitoring Pega Cloud with Dynatrace
If anyone has implemented monitoring for Pega Cloud using Dynatrace, please share any guidance, examples, or best practices.
Thanks!
08 Apr 2026 12:55 AM
Hi @AravindhanV , I am looking for the same option for Pega cloud application monitoring. Any luck? Thanks in advance!!
20 Apr 2026 04:48 PM
Hello, @AravindhanV
I haven’t implemented this myself, but given that the OA installation isn’t possible, I’d probably look at this more as an external monitoring use case than a classic full APM setup.
A few ideas that seem worth exploring are Synthetic Monitoring for availability and key user journeys, polling Pega health/diagnostic endpoints for node and platform health, and custom metric ingestion into Dynatrace for things like requestors, queue processors, agents, or general system health. Log ingestion could also be useful if your Pega Cloud exposes relevant logs, alerts, or exports, and a custom extension might make sense if you want to package the polling and metrics collection in a clean way.
My guess is that the most realistic outcome here would be a solution with focus on availability, performance indicators, node health, background processing health, and queue statistics, rather than deep code-level observability.
The main limitations I’d expect are the lack of deep tracing visibility without OneAgent, the fact that JMX may not be practical in a managed cloud model, and that success would depend heavily on what your Cloud actually exposes through the APIs, endpoints, or log exports. Because of that, it may end up being more of a health + KPI + synthetic monitoring integration than a full observability.
So if anyone here has already done something similar, I’d be very interested to hear what worked best in practice 😀
21 Apr 2026 06:13 AM
Thanks @MaximilianoML Good to see you have found an option and great to see you shared over here as well!! Appreciate it
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