opentracing | OpenTracing API for Rust

By default, Quarkus is using Jaeger as OpenTracing implementation.

Jaeger is using "Uber" propagation headers, which are different from the one used by Spring Sleuth (B3)

You can configure Quarkus to use B3 propagation to work with Spring Sleuth with property: quarkus.jaeger.propagation=b3

https://quarkus.io/guides/opentracing#quarkus-jaeger_quarkus.jaeger.propagation

Jaeger is a distributed tracer, inspired by Google's Dapper paper, and so it is mainly used for tracing communication between different processes in a microservices / distributed system architecture, not so much for portions of code inside an application.

The way Jaeger is introduced into most applications is to integrate it into the part of the application that is receiving requests from the network. For example, if your Python application is receiving HTTP requests using Django or Flask, or other types of requests (e.g. gRPC) using some other framework, there will probably be a project somewhere on the internet that lets you hook Jaeger into your framework with a couple of lines of code. For the most popular frameworks, the Jaeger docs point to opentracing-contrib as a good source for these "client libraries".

While making extra tracing calls inside an application is not unheard of or discouraged with d.tracers, it's not something that tends to happen a lot, because d.tracers are typically used in microservices environments where the interactions between components are more important than what's happening inside the components.

If you do want to create tracing records inside an application, then it would be very unusual to do tracing of every single function. Instead, tracing inside an application would typically be done at the boundary of components in a modular monolith, i.e. when one component calls into another component.

Lastly, if what you really want is performance analysis of your single Python application at the level of each function, and you don't care about it's interaction with other applications in your system (maybe you only have the one?), then Jaeger is probably not the right tool. In that case, you would probably want to look for an Application Performance Monitoring or APM tool that works with Python and suits your needs.

If you are using rowsPerPageTemplate="6,12,16", then rows="22" is indeed invalid as 22 is not one of the rowsPerPageTemplate values. Change either attribute so the values match.

See source code: https://github.com/primefaces/primefaces/blob/befd1b15302e46d641e4b997010c5175757c5da5/src/main/java/org/primefaces/component/api/UIPageableData.java#L290-L310

You can trace go get with go get -v -x (can omit -v) and check that the requests match your expectations:

I finally found the problem why I could not export files with p:dataExporter.

The web.xml file contained the context param javax.faces.PARTIAL_STATE_SAVING defined to false, so I commented out and I worked well!

The problem in web.xml

You get NumberFormatException when you call Integer.valueOf(null).

You should check against null in findbyId() method, depending on your business logic.

To understand better please read this:

What can , and be used for

Actually for bare metal server you should use another solution except of LoadBalancer to expose your application such as NodePort, Ingress and so on. Because LoadBalancer service type just for Cloud providers like Google, Azure, AWS and etc.

Check official documentation for LoadBalancer

Follow below way with thinking that you are using NodePort instead of LoadBalancer, NodePort service type also load balance traffic between pods ıf you are looking forward just balancing feature ;

You need to use http://172.42.42.101:30160 from outside of the host which is running containers on. Port 6000 is just accessible inside the cluster with internal IP (10.96.244.204 is in your case). Whenever you expose your deployment, automatically (also you can define manually) one of the NodePort (by default between 30000 - 32767)assign to the service for external request.

For service details, you need to run the below command. The command output will give you NodePort and another details.

When you use

Thank you for comments, as was mentioned in comments of @Inject = @Inject, is it possible? i understood that enums are not CDI managed so injection returns null. I dealt with it declaring enum in the class and declaring getter returning command according to switch condition. It can looks like next:

Commands.java