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Copy file name to clipboardExpand all lines: content/en/docs/deployment/mendix-cloud-deploy/behavior-of-app.md
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@@ -19,6 +19,10 @@ Apps running in Mendix Cloud are subject to certain limitations. These behaviors
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* You cannot upload files bigger than 1 GB to your app.
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* You cannot download files bigger than 1 GB from your app.
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## Constants Size Limit
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* Due to Linux limitations, the combined length of all constant keys and values cannot exceed 128 KB (approximately 32,000 characters). This limit cannot be changed.
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## Considerations for Multi-Instance Nodes
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* To use the debugger, you need to scale down to one instance.
Copy file name to clipboardExpand all lines: content/en/docs/deployment/mendix-cloud-deploy/environments-details.md
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In this section, you can view the configured constants. Constants are used to define configuration values that can differ per environment.
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{{% alert color="warning" %}}
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The combined length of all constant keys and values is limited to 128 KB (approximately 32,000 characters). For more information, refer to [Behavior of Your App in Mendix Cloud](/developerportal/deploy/behavior-of-app/#constants-size-limit).
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{{% /alert %}}
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To fill in a new value, select the constant and click **Edit** to bring up the **Edit Constant** dialog box.
Copy file name to clipboardExpand all lines: content/en/docs/deployment/mendix-cloud-deploy/monitoring-with-apm/datadog-metrics.md
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@@ -208,7 +208,7 @@ If the app has more than one instance, you will see lines on the graph for each
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## Mendix Tracing{#mendix-tracing}
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[Mendix Tracing](/refguide/tracing-in-runtime/)sends Mendix Runtime traces to [Datadog APM](https://docs.datadoghq.com/tracing/), giving you distributed tracing visibility into your app's performance and microflow executions.
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Mendix uses [OpenTelemetry](/refguide/opentelemetry-in-runtime/)to send Mendix Runtime traces to [Datadog APM](https://docs.datadoghq.com/tracing/), giving you an insight into your app's microflow executions and performance.
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{{% alert color="info" %}}
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Mendix Tracing requires Mendix Runtime 10.24.12 or above, or 11.5 or above.
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### Filtering Traces{#filter-traces}
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To control which traces are sent to Datadog, set the `MX_TRACING_FILTER` custom environment variable. For available filter options and syntax, see [Tracing in Runtime](/refguide/tracing-in-runtime/#filtering).
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To control which traces are sent to Datadog, set the `MX_TRACING_FILTER` custom environment variable. For available filter options and syntax, see [OpenTelemetry](/refguide/opentelemetry-in-runtime/#filtering).
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## Additional Information{#additional-info}
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*[Monitor Your Mendix Apps with Datadog](https://www.mendix.com/blog/monitor-your-mendix-apps-with-datadog/) – a Mendix blog about the capabilities of Datadog and using Datadog with Mendix
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*[Metrics](/developerportal/operate/metrics/)
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*[Tracing in Runtime](/refguide/tracing-in-runtime/) – Mendix documentation
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}
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```
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This will send logs to the registered OpenTelemetry collector. See [Tracing](/refguide/tracing-in-runtime/) for a guide on how to enable OpenTelemetry.
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This will send logs to the registered OpenTelemetry collector. See [OpenTelemetry](/refguide/opentelemetry-in-runtime/) for a guide on how to enable OpenTelemetry.
You can use the following offerings to help with this test type:
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*[Tracing](/refguide/tracing-in-runtime/) - Generates traces that help you analyze errors and performance, which can be sent to observability tools like [Jaeger](https://www.jaegertracing.io/) or [Datadog](https://www.datadoghq.com/).
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*[OpenTelemetry](/refguide/opentelemetry-in-runtime/) - Generates traces that help you analyze errors and performance, which can be sent to observability tools like [Jaeger](https://www.jaegertracing.io/) or [Datadog](https://www.datadoghq.com/).
You can use the following offerings to help with this test type:
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*[Tracing](/refguide/tracing-in-runtime/) - Generates traces that help you analyze errors and performance, which can be sent to observability tools like [Jaeger](https://www.jaegertracing.io/) or [Datadog](https://www.datadoghq.com/).
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*[Tracing](/refguide10/tracing-in-runtime/) - Generates traces that help you analyze errors and performance, which can be sent to observability tools like [Jaeger](https://www.jaegertracing.io/) or [Datadog](https://www.datadoghq.com/).
Copy file name to clipboardExpand all lines: content/en/docs/releasenotes/studio-pro/10/10.24.md
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### Improvements
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* We implemented a feature that allows filtering out spans by their name. For more information, see the [Testing](/refguide/tracing-in-runtime/#testing) section of *Tracing*.
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* We implemented a feature that allows filtering out spans by their name. For more information, see the [Testing](/refguide10/tracing-in-runtime/#testing) section of *Tracing*.
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* The logout API in the new client `mx-api` now supports an optional params object with `reloadOnSuccess` flag. By default, `mx-api/logout` automatically reloads the page after a successful logout if you call it with no params object. If you pass a params object `{reloadOnSuccess: false}`, the automatic reload is disabled so you can implement your own custom logout flow and trigger reload yourself when needed.
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* We now log a warning when runtime operation parameters are missing during a database retrieval with an XPath constraint.
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This can happen, for example, when a nanoflow retrieve activity uses an XPath constraint that references an associated object that is not yet available in the nanoflow scope. In such cases, that would lead to unresolvable XPath. (Ticket 260339)
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* We added support for Brazilian Portuguese to Studio Pro.
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* We improved the messages that Studio Pro shows when running an OQL query in view entities. There are now clearer messages when the app has not fully started yet and when the query refers to `[%CurrentUser%]` without specifying the user.
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* We relaxed the restriction that entities with an online synchronization mode could not refer to entities with an offline synchronization mode. It now only prevents XPath constraints in pages and nanoflows that mix entities with online and offline synchronization modes allowing more modeling possibilities.
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* When [tracing](/refguide/tracing-in-runtime/) is enabled, traces now include spans for all Microflow activities.
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* When [tracing](/refguide/opentelemetry-in-runtime/) is enabled, traces now include spans for all Microflow activities.
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* We bundled OpenTelemetry agent jar with Studio Pro. It can be found under `runtime/agents/opentelemetry-javaagent.jar`.
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* We provided the **Enable Tracing** option to enable runtime tracing in Studio Pro. It can be accessed through **App Settings**. For more information, see the [Minimal Configuration](/refguide/tracing-in-runtime/#min-configuration) section in *Tracing*.
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* We provided the **Enable Tracing** option to enable runtime tracing in Studio Pro. It can be accessed through **App Settings**. For more information, see the [Minimal Configuration](/refguide/opentelemetry-in-runtime/#min-configuration) section in *Tracing*.
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* We no longer close the response writer of custom request handlers, if an asynchronous request is started. With this change it is possible to implement asynchronous request handlers.
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* We implemented an OpenTelemetry agent extension that provides default settings. It can be found under `runtime/agents/mendix-opentelemetry-agent-extension.jar`.
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* We now add consistency warnings if there are multiple versions of the same Java dependency in your app.
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