> Without Mone, OzHera can be used independently. Currently, in addition 
> to Xiaomi, there are also some external manufacturers using or 
> researching it. Mone is a larger collection within Xiaomi, and we are 
> considering open sourcing all of it in the future (which includes cicd 
> rpc, registration center, container management, stress testing system, 
> API platform, gateway, tunnel governance, etc.)

Thank you for your response. I agree with @PsiACE's suggestion to separate the 
project first and running it as a community before starting the incubation 
jounary.

We can use `git` to split the project while preserving all related history.

Here is the command: 

```shell
git clone https://github.com/XiaoMi/mone OzHera
git filter-repo --path ozhera-all
```

This change will make the contribution history clearer and help checking the 
initial committers list.

On Wed, Sep 6, 2023, at 18:13, Zhiyong Zhang wrote:
> Without Mone, OzHera can be used independently. Currently, in addition 
> to Xiaomi, there are also some external manufacturers using or 
> researching it. Mone is a larger collection within Xiaomi, and we are 
> considering open sourcing all of it in the future (which includes cicd 
> rpc, registration center, container management, stress testing system, 
> API platform, gateway, tunnel governance, etc.)
>
> On 2023/09/05 17:45:24 Xuanwo wrote:
>> Hi,
>> 
>> Thanks for the interesting proposal first!
>> 
>> I would like to understand the connection between Xiaomi/mone and OzHera. 
>> Will OzHera be transferred from Xiaomi/mono to apache/incubator-ozhera while 
>> keeping the rest of the code unchanged? Can OzHera be used independently 
>> without Xiaomi/mono?
>> 
>> On Tue, Sep 5, 2023, at 11:11, Yu Xiao wrote:
>> > Dear incubator community,
>> >
>> > I would like to propose OzHera[1] as a new apache incubator project, you
>> > can find the proposal[2] of OzHera for more detail.
>> >
>> > OzHera is an application performance observation platform that centers
>> > around applications,
>> > integrating metric monitoring, link tracing, logs, alerts, and other
>> > capabilities.
>> > The Hera platform has the following core features:
>> >
>> > ** Embrace Cloud Native
>> > Complies with the Opentracing standard, integrating multiple star
>> > open-source products such as OpenTelemetry,
>> > Grafana, Prometheus, ES, CAdvisor, etc. At the same time, Hera deeply
>> > adapts to K8S,
>> > providing one-click deployment on K8S through operator.
>> >
>> > ** Precise: Availability Metrics
>> > We have defined corresponding availability metrics for common RPC
>> > (Dubbo, HTTP, etc.) requests.
>> > These request-scope metrics are automatically extracted from tracing
>> > by Hera, and during extraction,
>> > we enhance the ability to recognize business error codes.
>> > A single metric can accurately express the exceptions encapsulated by
>> > RPC and business processing.
>> >
>> > ** Quick: Metrics-Tracing-Logging Linkage
>> > Based on traceId, it links the alarm -> metrics -> link -> log closed loop.
>> > From the moment the alarm card touches the user, the user can quickly
>> > view the link and log situation related to this alarm,
>> > greatly improving the efficiency of problem locating.
>> >
>> > ** Economical
>> > Less than 0.1% storage cost, satisfying 99.9% of tracing demands
>> > OzHera achieves the recognition of abnormal calls (error span,
>> > abnormal business error codes,
>> > error logs, single span time exceeding 1 second, etc.) and ensures the
>> > storage of data for the entire call link of abnormal traces.
>> > For normal traces, we adopt a default random sampling strategy of one
>> > in ten thousand.
>> >
>> > ** Enterprise-level Observable Products
>> > Complete account, permission, application management mechanisms,
>> > allowing users to quickly implement within the enterprise and connect
>> > to the enterprise’s own account, application deployment system, etc.
>> > It can also quickly dock with enterprise office software to achieve
>> > alarm touch. Core links are well decoupled for rapid scaling,
>> > and for large volumes of tracing, we have implemented tail sampling 
>> > strategies,
>> > able to support high qps, real-time observable demands of high
>> > timeliness systems.
>> >
>> > [1] https://github.com/XiaoMi/mone/tree/master/ozhera-all
>> > [2] https://cwiki.apache.org/confluence/display/INCUBATOR/OzHeraProposal
>> >
>> > Best,
>> > Yu Xiao
>> >
>> > ASF Member
>> > Apache ShenYu V.P.
>> > Apache Incubator PMC
>> >
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>> 
>> -- 
>> Xuanwo
>> 
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>> 
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Xuanwo

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