Thank you very much for your suggestion. We will separate the project today. In 
the future, I will also share some of the philosophies we adopted during the 
design stage. Currently, this project is online within Xiaomi. Thank you for 
your attention.

On 2023/09/06 14:58:34 Chojan Shang wrote:
> I am glad to see the proposal and get to know a new project. Metrics and 
> tracing are crucial parts of modern applications.
> 
> However, it seems that OzHera still has a long way to go in terms of building 
> a community. Even Mone appears to lack sufficient publicly available 
> information. I am concerned about whether there are truly community 
> contributors who can participate in maintaining the project.
> 
> In addition, other Incubator PMC members have also mentioned some issues 
> worth paying attention to, such as branding. I hope to hear a sincere 
> response.
> 
> Perhaps a better approach would be to first separate OzHera, collaborate 
> openly for a period of time, and then proceed with the relevant evaluation 
> and discussion.
> 
> Best,
> PsiACE
> 
> On 2023/09/05 03:11:28 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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> > 
> 
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