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View All on GitHubAn application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
AI Summary: The `ExecutorServiceMetrics` in Micrometer repeatedly logs exceptions when monitoring `java.util.concurrent.ThreadPerTaskExecutor`. This occurs because a `MethodHandle` used for internal reflection becomes null when the `--add-opens` JVM argument is missing, but the code proceeds to use it anyway, leading to constant crashes and log spam.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
AI Summary: A test named `MongoMetricsCommandListenerTest.shouldCreateFailedCommandMetricWithCustomSettings()` is intermittently failing on CI. The failure occurs because the test expects a specific `cluster.id` tag value for a MongoDB driver command metric, but a different, dynamically generated `cluster.id` is found, leading to a `MeterNotFoundException`.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
AI Summary: This issue requests adding a new Netty metric named `eventexecutor.workers` to represent the total count of Netty's event loops. The rationale is to provide a useful debugging metric, similar to one implemented in Armeria, and a reference implementation link is provided.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
AI Summary: Annotate all Micrometer packages with `@NullMarked` to ensure consistent nullability specification across the API. This involves identifying and annotating any currently unmarked packages, while maintaining exceptions where necessary.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
AI Summary: The task is to fix a bug in the Micrometer library's `LongTaskTimer` class. The `measure` method currently doesn't return the maximum duration of long tasks, as documented. The fix involves adding a new `Measurement` to include the maximum duration statistic.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.