这是我的配置

<server-config>
   <server id="default">
      <properties>
         <property name="local-mode" value="false"/>
         <property name="job-machine" value="true"/>
         <property name="send-machine" value="true"/>
         <property name="alarm-machine" value="true"/>
         <property name="hdfs-enabled" value="false"/>
         <p

https://github.com/openzipkin/zipkin/blob/master/zipkin/src/main/java/zipkin2/Span.java#L759

tags = builder.tags == null ? Collections.emptyMap() : new LinkedHashMap<>(builder.tags);

The empty map is immutable and makes it difficult to add a tag to a already created span. This will be helpful with performance. Otherwise, have to turn it in to builder and back to a Span when this type is us

Title: Openwhisk Plugin Contribution

Link: https://github.com/lopiter/pinpoint/tree/add-openwhisk-plugin
Target: Openwhisk
Supported Version: 0.0.1-SNAPSHOT
Description: serverless open source platform Openwhisk(https://openwhisk.apache.org)
before, akka-http plugin should be installed
ServiceTypes: OPENWHISK_INTERNAL , OPENWHISK_INVOKER
Configurations:

• profiler.openwhisk.enable : set

developer guide: development note for Middleware Engineering

• why need Middleware Engineering
• how to do it

Middleware Engineering 🔥, like multi-version Java full support(support low version Java and full functions of high version Java), is boring but essential for middleware! 🤣

https://github.com/alibaba/transmittable-thread-local/releases/tag/v2.5.0

Should be possible to speed up CI by caching docker images. We can key the cache object based on the hash of the image.

See https://help.github.com/en/actions/configuring-and-managing-workflows/caching-dependencies-to-speed-up-workflows

There was a huge performance problem when using sleuth in the reactive stack. See here

This was partially addressed by this

But the downside 1478 of contents of MDC would be lost anytime event

• There is no install docs detailing how to install it. the docker stuff I do not know how it is installed.
• The documentation is messy.
• There is no support docs meaning what application server you support monitoring .
• I think you have 2 parts one is the browser plugin and the other is the server , there is no clear indication between them and do I need to use both of them .

--Thank you

makes no sense. javadoc doesn't fail locally and these are all public types. Something's up https://circleci.com/gh/spring-cloud/spring-cloud-sleuth/6054

I will disable javadoc enforcement for now.

[WARNING] Javadoc Warnings
[WARNING] /root/project/spring-cloud-sleuth-core/src/main/java/org/springframework/cloud/sleuth/instrument/web/HttpClientRequestParser.java:44: warning - Tag @link

The textual information does match with the screenshot mentioned in the page:
https://kamon.io/docs/latest/guides/installation/setting-up-the-agent/#in-a-nutshell
The test refers to kanela jar whereas the screenshot refers to aspectjweaver

Because advanced profiling working since api 26 and above users can forgot about enabling and get failed build error com.android.builder.dexing.DexArchiveBuilderException: Failed to process
In this case they must:
Edit Configurations -> app -> Profiling tab -> uncheck Enable advanced profiling

Currently the Jaeger variables are added as ENV in Docker file:

  ENV JAEGER_SERVICE_NAME=customer\
  JAEGER_ENDPOINT=http://jaeger-collector.istio-system.svc:14268/api/traces\
  JAEGER_PROPAGATION=b3\
  JAEGER_SAMPLER_TYPE=const\
  JAEGER_SAMPLER_PARAM=1

We could avoid this and add them to Kubernetes Deployment YAML

(OR)

Except for JAEGER_SERVICE_NAME other variables

git checkout v0.5.0
cd install/kubernetes/hubble
helm install hubble .

expected results: v0.5.0 tagged container deployed
actual results: latest tagged container deployed

git checkout master
cd install/kubernetes/hubble
helm install hubble .

expected results: latest tagged container deployed
actual results: v0.5.0 tagged container deployed

Out of scope during Twitch Series but a nice to have feature that can be implemented

Loyalty is not currently using Subscription, and it could be done by leveraging Local Resolvers.

Tasks to complete in order to implement this feature:

• Create addPoints Mutation
• Create `onAddPoints(c

Hello. I am trying to migrate my project from basic logging to something more advanced and someone recommended this module through reddit. I have been through the quick-start guide and other available documentation and have some very basic questions about the API.

How can I parse the logs and format them for the stdout?

Is there a way to stream what's being written to the log, just like the

Bug Report

Version

-> % cargo tree | grep tracing
├── tracing v0.1.13
│   ├── tracing-attributes v0.1.7
│   └── tracing-core v0.1.10
├── tracing-futures v0.2.4
│   └── tracing v0.1.13 (*)
├── tracing-log v0.1.1
│   └── tracing-core v0.1.10 (*)
├── tracing-subscriber

How adjust the value of these options in different production envirement?

• molten.sampling_request
• molten.sampling_rate
• molten.report_interval
• molten.report_limit

How can we use the notify function ? What does it do ?
molten.notify_uri

As interface shows below：

    /**
     * <p>
     * Send batch messages to server.
     *
     * @param messages messages to be sent.
     */
    void send(List<Message> messages);

This API can lead to multiple behaviors, such as sending to multiple partitions, or the same partition, so how should we define the behavior of this method?

And this issue exists in many places, suc

The following information about the UI should be stored in preferences:

• Processes pane hidden
• Modules pane hidden
• Process pane width
• Modules pane width
• Width of columns in the trace log table

erlyberly uses the PrefBind class to manage preferences to disk. See the examples in this search for usage:

https://github.com/andytill/erlyberly/search?utf8=%E2%9C%93&q=PrefBind+

it's great you folks a few example configs for the exporter.. however since you demonstrate a lovely grafana graph graphing the metrics (say that 5 times fast), it would really swell if you also included the dashboard definition JSON that creates those exact grafana graphs..

p.s.. a [quick search](https://grafana.com/grafa

Requirement - what kind of business use case are you trying to solve?

Always use time units in the Web UI which are easy to read by humans.

We use Jaeger to trace some complex, long-running offline jobs in which a seconds granularity in the Web UI is too fine-grained for human consumption.

Problem - what in Jaeger blocks you from solving the requirement?

Currently, durations seem

Hi, @gnl — 

Keep up all the amazing work. Just ran into the strange problem... Here's a function without ghostwheel...

(defn should-return-nil
  [x]
  nil)
=> #'x.asin/should-return-nil
(should-return-nil "")
=> nil
(should-return-nil "")
=> nil

And here's the same function with ghostwheel — it returns seemingly random numbers. I'm wondering if I'm doing somethin

@lust4life I've added a section in the README so people know how to configure a metric with Prometheus. Perhaps you could add one of the samples from this thread there?

Originally posted by @haf in logary/logary#395 (comment)