Description: Micrometer is an open-source dimensional metrics instrumentation library for microservices and other applications. It provides a simple and consistent API for collecting application metrics, such as response times, error rates, and throughput, from various monitoring systems. Micrometer supports a wide range of monitoring systems, including Prometheus, Graphite, InfluxDB, and more, allowing developers to choose the system that best fits their needs.
Additional information: Micrometer simplifies the process of instrumenting code to collect metrics, making it easier to monitor and analyze the performance and behavior of applications. It offers a vendor-neutral abstraction layer that decouples the application code from the underlying monitoring system. This allows developers to switch between monitoring systems without modifying their code. Micrometer provides a rich set of features, including support for timers, counters, gauges, histograms, and distribution summaries. It also offers advanced capabilities like dimensional metrics, which enable tagging and filtering of metrics based on custom dimensions. By using Micrometer, developers can gain valuable insights into their applications' performance, identify bottlenecks, and make data-driven decisions to optimize their systems.
Example: An example of using Micrometer is to instrument a microservice to collect response time metrics. By adding a few lines of code, developers can measure the time taken by different parts of the service, such as database queries, external API calls, or specific methods. These metrics can then be visualized and analyzed using a monitoring system like Prometheus or Graphite. This helps in identifying slow-performing components, detecting anomalies, and optimizing the overall system performance.
Publisher: Micrometer GitHub Repository
Source: https://github.com/micrometer-metrics/micrometer
LOST view: TVA-Observability and Monitoring Enablers [Motivation]
Identifier: http://data.europa.eu/dr8/egovera/MicrometerApplicationService
EIRA traceability: eira:DigitalSolutionApplicationService
EIRA concept: eira:SolutionBuildingBlock
Last modification: 2023-07-20
dct:identifier: http://data.europa.eu/dr8/egovera/MicrometerApplicationService
dct:title: Micrometer Application Service
|
|
eira:PURI | http://data.europa.eu/dr8/egovera/MicrometerApplicationService |
eira:ABB | eira:DigitalSolutionApplicationService |
dct:modified | 2024-01-17 |
dct:identifier | http://data.europa.eu/dr8/egovera/MicrometerApplicationService |
dct:title | Micrometer Application Service |
dct:description | Micrometer is an open-source dimensional metrics instrumentation library for microservices and other applications. It provides a simple and consistent API for collecting application metrics, such as response times, error rates, and throughput, from various monitoring systems. Micrometer supports a wide range of monitoring systems, including Prometheus, Graphite, InfluxDB, and more, allowing developers to choose the system that best fits their needs. |
skos:example | An example of using Micrometer is to instrument a microservice to collect response time metrics. By adding a few lines of code, developers can measure the time taken by different parts of the service, such as database queries, external API calls, or specific methods. These metrics can then be visualized and analyzed using a monitoring system like Prometheus or Graphite. This helps in identifying slow-performing components, detecting anomalies, and optimizing the overall system performance. |
skos:note | Micrometer simplifies the process of instrumenting code to collect metrics, making it easier to monitor and analyze the performance and behavior of applications. It offers a vendor-neutral abstraction layer that decouples the application code from the underlying monitoring system. This allows developers to switch between monitoring systems without modifying their code. Micrometer provides a rich set of features, including support for timers, counters, gauges, histograms, and distribution summaries. It also offers advanced capabilities like dimensional metrics, which enable tagging and filtering of metrics based on custom dimensions. By using Micrometer, developers can gain valuable insights into their applications' performance, identify bottlenecks, and make data-driven decisions to optimize their systems. |
eira:concept | eira:SolutionBuildingBlock |
dct:publisher | Micrometer GitHub Repository |
dct:source | https://github.com/micrometer-metrics/micrometer |
eira:view | TVA-Observability and Monitoring Enablers [Motivation] |