Thanks Martin.

>From an implementation point of view do we need to introduce docker for
each microservice? In other words does it have to be artefact --> contain
--> docker for this to be true microservice and all these microservices
communicate through Service Registry.

Also if we wanted to move from a monolithic classic design with Streaming
Ingestion (ZooKeeper, Kafka) --> Processing engine (Spark Streaming, Flink)
--> Real time dashboard (anything built on something like D3) to
microservices how would that entail. One option would be to have three
principal microservices (each with sub-services) providing three components?

Regards,

Dr Mich Talebzadeh



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On Sun, 8 Jul 2018 at 13:58, Martin Gainty <mgai...@hotmail.com> wrote:

>
>
> initial work under using Zookeeper as a Microservices container is here
>
> http://planet.jboss.org/post/zookeeper_for_microservice_registration_and_discovery
>
> ZooKeeper for Microservice Registration and Discovery ...<
> http://planet.jboss.org/post/zookeeper_for_microservice_registration_and_discovery
> >
> planet.jboss.org
> In a microservice world, multiple services are typically distributed in a
> PaaS environment. Immutable infrastructure, such as those provided by
> containers or immutable VM images. Services may scale up and down based
> upon certain pre-defined metrics. Exact address of the service may not be
> known ...
>
> once your Zookeeper Microservices container is operational
>
> you would need to 'tweak' kafka to extend and implement classes/interfaces
> to become
> a true microservices component..this may help
>
>
> http://blog.arungupta.me/monolithic-microservices-refactoring-javaee-applications/
> [http://blog.arungupta.me/wp-content/uploads/2015/06/javaee-monolithic.png
> ]<
> http://blog.arungupta.me/monolithic-microservices-refactoring-javaee-applications/
> >
>
> Monolithic to Microservices Refactoring for Java EE ...<
> http://blog.arungupta.me/monolithic-microservices-refactoring-javaee-applications/
> >
> blog.arungupta.me
> Have you ever wondered what does it take to refactor an existing Java EE
> monolithic application to a microservices-based one? This blog explains how
> a trivial shopping cart example was converted to microservices-based
> application, and what are some of the concerns around it.
>
>
>
> let me know if i can help out
> Martin
>
>
> ________________________________
> From: Jörn Franke <jornfra...@gmail.com>
> Sent: Sunday, July 8, 2018 6:18 AM
> To: users@kafka.apache.org
> Cc: u...@flink.apache.org
> Subject: Re: Real time streaming as a microservice
>
> Yes or Kafka will need it ...
> As soon as your orchestrate different microservices this will happen.
>
>
>
> > On 8. Jul 2018, at 11:33, Mich Talebzadeh <mich.talebza...@gmail.com>
> wrote:
> >
> > Thanks Jorn.
> >
> > So I gather as you correctly suggested, microservices do provide value in
> > terms of modularisation. However, there will always "inevitably" be
> > scenarios where the receiving artefact say Flink needs communication
> > protocol changes?
> >
> > thanks
> >
> > Dr Mich Talebzadeh
> >
> >
> >
> > LinkedIn *
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> > <
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> >*
> >
> >
> >
> > http://talebzadehmich.wordpress.com
> >
> >
> > *Disclaimer:* Use it at your own risk. Any and all responsibility for any
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> > from relying on this email's technical content is explicitly disclaimed.
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> > such loss, damage or destruction.
> >
> >
> >
> >
> >> On Sun, 8 Jul 2018 at 10:25, Jörn Franke <jornfra...@gmail.com> wrote:
> >>
> >> That they are loosely coupled does not mean they are independent. For
> >> instance, you would not be able to replace Kafka with zeromq in your
> >> scenario. Unfortunately also Kafka sometimes needs to introduce breaking
> >> changes and the dependent application needs to upgrade.
> >> You will not be able to avoid these scenarios in the future (this is
> only
> >> possible if micro services don’t communicate with each other or if they
> >> would never need to change their communication protocol - pretty
> impossible
> >> ). However there are ways of course to reduce it, eg kafka could reduce
> the
> >> number of breaking changes or you can develop a very lightweight
> >> microservice that is very easy to change and that only deals with the
> >> broker integration and your application etc.
> >>
> >>> On 8. Jul 2018, at 10:59, Mich Talebzadeh <mich.talebza...@gmail.com>
> >> wrote:
> >>>
> >>> Hi,
> >>>
> >>> I have created the Kafka messaging architecture as a microservice that
> >>> feeds both Spark streaming and Flink. Spark streaming uses
> micro-batches
> >>> meaning "collect and process data" and flink as an event driven
> >>> architecture (a stateful application that reacts to incoming events by
> >>> triggering computations etc.
> >>>
> >>> According to Wikipedia, A Microservice is a  technique that structures
> an
> >>> application as a collection of loosely coupled services. In a
> >> microservices
> >>> architecture, services are fine-grained and the protocols are
> >> lightweight.
> >>>
> >>> Ok for streaming data among other things I have to create and configure
> >>> topic (or topics), design a robust zookeeper ensemble and create Kafka
> >>> brokers with scalability and resiliency. Then I can offer the streaming
> >> as
> >>> a microservice to subscribers among them Spark and Flink. I can upgrade
> >>> this microservice component in isolation without impacting either Spark
> >> or
> >>> Flink.
> >>>
> >>> The problem I face here is the dependency on Flink etc on the jar files
> >>> specific for the version of Kafka deployed. For example
> kafka_2.12-1.1.0
> >> is
> >>> built on Scala 2.12 and Kafka version 1.1.0. To make this work in Flink
> >> 1.5
> >>> application, I need  to use the correct dependency in sbt build. For
> >>> example:
> >>> libraryDependencies += "org.apache.flink" %%
> >> "flink-connector-kafka-0.11" %
> >>> "1.5.0"
> >>> libraryDependencies += "org.apache.flink" %%
> >> "flink-connector-kafka-base" %
> >>> "1.5.0"
> >>> libraryDependencies += "org.apache.flink" %% "flink-scala" % "1.5.0"
> >>> libraryDependencies += "org.apache.kafka" % "kafka-clients" %
> "0.11.0.0"
> >>> libraryDependencies += "org.apache.flink" %% "flink-streaming-scala" %
> >>> "1.5.0"
> >>> libraryDependencies += "org.apache.kafka" %% "kafka" % "0.11.0.0"
> >>>
> >>> and the Scala code needs to change:
> >>>
> >>> import
> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer011
> >>> …
> >>>   val stream = env
> >>>                .addSource(new FlinkKafkaConsumer011[String]("md", new
> >>> SimpleStringSchema(), properties))
> >>>
> >>> So in summary some changes need to be made to Flink to be able to
> >> interact
> >>> with the new version of Kafka. And more importantly if one can use an
> >>> abstract notion of microservice here?
> >>>
> >>> Dr Mich Talebzadeh
> >>>
> >>>
> >>>
> >>> LinkedIn *
> >>
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> >>> <
> >>
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> >>> *
> >>>
> >>>
> >>>
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> >>>
> >>>
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> >>> loss, damage or destruction of data or any other property which may
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> >> from
> >>> such loss, damage or destruction.
> >>
>

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