Create MpTelemetry 2.0 Blog #4238
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Emily-Jiang
reviewed
Jan 30, 2025
| :url-about: / | ||
| //Blank line here is necessary before starting the body of the post. | ||
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| A microservices architecture has many well-known advantages for developers such as scalability, flexibility and improved collaboration. However, having a distributed system is likely to make it harder to find the source of latency or inaccuracy that users may experience. There are multiple ways to increase observability of an application to overcome this problem. For example, by collecting metrics, traces and logs. |
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| A microservices architecture has many well-known advantages for developers such as scalability, flexibility and improved collaboration. However, having a distributed system is likely to make it harder to find the source of latency or inaccuracy that users may experience. There are multiple ways to increase observability of an application to overcome this problem. For example, by collecting metrics, traces and logs. | |
| A microservices architecture has many well-known advantages for developers such as scalability, flexibility and improved collaboration. However, having a distributed system is likely to make it harder to find the source of latency or inaccuracy that users may experience. There are multiple ways to increase observability of an application to overcome this problem (e.g. by collecting metrics, traces and logs). |
Emily-Jiang
reviewed
Jan 30, 2025
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| A microservices architecture has many well-known advantages for developers such as scalability, flexibility and improved collaboration. However, having a distributed system is likely to make it harder to find the source of latency or inaccuracy that users may experience. There are multiple ways to increase observability of an application to overcome this problem. For example, by collecting metrics, traces and logs. | ||
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| link:https://opentelemetry.io/[OpenTelemetry] is a set of APIs, SDKs, tooling, and integrations that are designed for the creation and management of telemetry data such as traces, metrics, and logs. link:https://projects.eclipse.org/projects/technology.microprofile/releases/telemetry-2.0[MicroProfile Telemetry 2.0] adopts OpenTelemetry so your MicroProfile applications benefit from both manual and automatic traces and metrics. These can be collectively exported along with runtime and application logs in a standardized way! |
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| link:https://opentelemetry.io/[OpenTelemetry] is a set of APIs, SDKs, tooling, and integrations that are designed for the creation and management of telemetry data such as traces, metrics, and logs. link:https://projects.eclipse.org/projects/technology.microprofile/releases/telemetry-2.0[MicroProfile Telemetry 2.0] adopts OpenTelemetry so your MicroProfile applications benefit from both manual and automatic traces and metrics. These can be collectively exported along with runtime and application logs in a standardized way! | |
| link:https://opentelemetry.io/[OpenTelemetry] contains a set of APIs, SDKs, tooling, and integrations that are designed for the creation and management of telemetry data such as traces, metrics, and logs. link:https://projects.eclipse.org/projects/technology.microprofile/releases/telemetry-2.0[MicroProfile Telemetry 2.0] adopts OpenTelemetry so your MicroProfile applications benefit from both manual and automatic traces and metrics. These can be collectively exported along with runtime and application logs in a standardized way! |
Emily-Jiang
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Jan 30, 2025
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| * *Car service*: Allows users to create records of cars, given the make of the car and the id of the person who owns the car. | ||
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| image::img/blog/car_person_service.png[align="center",Diagram of an application with a Car and Person service.] |
Emily-Jiang
reviewed
Jan 30, 2025
| * *Traces* and *spans* to track user operations, including both the requests and responses. | ||
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| == Running the backend exporters | ||
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In the prior section, you need to explain why you will need a backend exporter.
Emily-Jiang
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Jan 30, 2025
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| == Running the backend exporters | ||
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| Before running this demo, it is recommended to set up a a backend system to collect the telemetry data from the application. See the link:https://github.com/grafana/docker-otel-lgtm[docker-otel-lgtm] repository and clone the repo: |
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Please explain the popular backend exporter.
Emily-Jiang
reviewed
Jan 30, 2025
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| git clone https://github.com/yasmin-aumeeruddy/car-person-demo.git | ||
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| Each service has MpTelemetry 2.0 and Monitor-1.0 enabled in its link:https://github.com/yasmin-aumeeruddy/car-person-demo/blob/main/car/src/main/liberty/config/server.xml#L8[server]: |
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| Each service has MpTelemetry 2.0 and Monitor-1.0 enabled in its link:https://github.com/yasmin-aumeeruddy/car-person-demo/blob/main/car/src/main/liberty/config/server.xml#L8[server]: | |
| Each service has `mpTelemetry-2.0` and `monitor-1.0` enabled in its link:https://github.com/yasmin-aumeeruddy/car-person-demo/blob/main/car/src/main/liberty/config/server.xml#L8[server]: |
Emily-Jiang
reviewed
Jan 30, 2025
| </featureManager> | ||
| ---- | ||
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| By default, MicroProfile Telemetry is off. To collect and export telemetry data, enable OpenTelemetry by using the following system property or environment variable: |
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| By default, MicroProfile Telemetry is off. To collect and export telemetry data, enable OpenTelemetry by using the following system property or environment variable: | |
| Due to performance concerns, MicroProfile Telemetry is disabled by default. To collect and export telemetry data, enable OpenTelemetry by using the following system property or environment variable: |
Emily-Jiang
reviewed
Jan 30, 2025
| @Inject | ||
| Meter meter; | ||
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| @Inject |
Emily-Jiang
reviewed
Jan 30, 2025
| [source, sh] | ||
| ---- | ||
| cd car \ | ||
| mvn liberty:run |
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| mvn liberty:run | |
| mvn liberty:dev |
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For issue #4228