Lightweight Java EE for <Buzzword> Services @ JBCNconf 17

June 19, 2017 @ JBCNconf 17

Java EE is not a hype. It is a well known player since 1999 – a quite long time but Java EE is just about to come off age.

“Modern” developers create micro or nano services, they use “state of the art” and “lightweight” frameworks. But when is a service micro or nano? When is a framework lightweight? How does Java EE fit in this modern world of software development?

In my opinion Java EE is a perfect choice for writing micro or nano services. In this talk I try to prove my statement. Live on stage I write two services with RESTful JSON APIs with only a few lines of code which communicate with each other and run the services using a local Docker cloud where you can see how these can be scaled up and down to manage fluctuating loads. Coding, building, deploying, scaling: fast and efficient!

To fully understand this talk the attendees should have basic knowledge of Java.

Transcript

1. Lightweight Java EE for Services
   Coding, building, deploying, scaling: fast and efficient!
   Marcus Fihlon, McPringle
   June 19, 2017
   Software Engineer | Agile Coach | Lecturer | Speaker | Author
   

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2. Disclaimer
   The following presentation has been approved for open audiences
   only. Hypersensitivity to occasional profanity requires covering ears.
   All logos, photos etc. used in this presentation are the property of
   their respective copyright owners and are used here for educational
   purposes only. Any and all marks used throughout this presentation
   are trademarks of their respective owners.
   The presenter is not acting on behalf of CSS Insurance, neither as an
   official agent nor representative. The views expressed are those
   solely of the presenter.
   Marcus Fihlon disclaims all responsibility for any loss or damage
   which any person may suffer from reliance on this information or
   any opinion, conclusion or recommendation in this presentation
   whether the loss or damage is caused by any fault or negligence on
   the part of presenter or otherwise.
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3. Session Material
   Slides, Code, Video
   http://fihlon.ch/jbcnconf17
   2
   

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4. About Me
   Software Engineer
   CSS Insurance, Open Source Software
   Agile Coach
   CSS Insurance
   Lecturer
   TEKO Swiss Technical College
   Speaker
   Conferences, User Groups, Meetups
   Author
   Articles, Books
   www.fihlon.ch | github.com | hackergarten.net | jug.ch
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5. Agenda
   Buzzword Bingo
   Theory of Evolution
   Live Coding
   Wrap-up
   4
   

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6. Buzzword Bingo
   

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7. Buzzword Bingo
   Monolith
   Bad by default!
   Microservices
   Solve every problem!
   Nanoservices
   Solve all other problems!
   Docker
   Just because it’s cool!
   Java EE
   Uncool and heavy framework for bloated monoliths!
   5
   

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8. Buzzword Bingo
   Monolith
   Bad by default!
   Microservices
   Solve every problem!
   Nanoservices
   Solve all other problems!
   Docker
   Just because it’s cool!
   Java EE
   Uncool and heavy framework for bloated monoliths!
   5
   

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9. Buzzword Bingo
   Monolith
   Bad by default!
   Microservices
   Solve every problem!
   Nanoservices
   Solve all other problems!
   Docker
   Just because it’s cool!
   Java EE
   Uncool and heavy framework for bloated monoliths!
   5
   

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10. Buzzword Bingo
    Monolith
    Bad by default!
    Microservices
    Solve every problem!
    Nanoservices
    Solve all other problems!
    Docker
    Just because it’s cool!
    Java EE
    Uncool and heavy framework for bloated monoliths!
    5
    

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11. Buzzword Bingo
    Monolith
    Bad by default!
    Microservices
    Solve every problem!
    Nanoservices
    Solve all other problems!
    Docker
    Just because it’s cool!
    Java EE
    Uncool and heavy framework for bloated monoliths!
    5
    

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12. Theory of Evolution
    

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13. Expensive Resources
    6
    

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14. Add Virtualization
    7
    

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15. One VM per application
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16. Shared Resources with Docker
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17. Microservice Hype
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18. Fat Binaries: long build times
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19. Use the layers: short build times
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20. Keep it lightweight!
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21. Live Coding
    

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22. Architecture
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23. Prepare the Swarm
    List all available machines
    docker-machine ls
    Create a new machine as a manager
    docker-machine create -d virtualbox mgr
    Create a new machine as a worker
    docker-machine create -d virtualbox node01
    Login to the manager
    docker-machine ssh mgr
    Initialize the swarm
    docker swarm init \
    --advertise-addr 192.168.99.100
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24. Prepare the Visualizer
    Start the visualizer service
    docker run -it -d -p 8080:8080 \
    -e HOST=192.168.99.100 -v \
    /var/run/docker.sock:/var/run/docker.sock \
    manomarks/visualizer
    Open the visualizer service in a web browser
    http://192.168.99.100:8080/
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25. Join the Swarm
    Ask the manager node for the token to join the swarm
    docker swarm join-token worker
    Login to the worker node
    docker-machine ssh node01
    Join the worker to the swarm
    docker swarm join --token \
    192.168.99.100:237
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26. Verify the Swarm
    Login to the manager
    docker-machine ssh mgr
    List all nodes
    docker node ls
    Show more detailed information
    docker info
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27. Create a Network
    Login to the manager
    docker-machine ssh mgr
    Create a new overlay network
    docker network create -d overlay jbcnconf
    List all networks
    docker network ls
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28. Deploy Services
    Login to the manager
    docker-machine ssh mgr
    Deploy the time service
    docker service create --network jbcnconf \
    --name timeservice mcpringle/timeservice
    Deploy the hello service
    docker service create --network jbcnconf \
    -p 8181:8080 \
    --name helloservice mcpringle/helloservice
    List all services
    docker service ls
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29. Testing, Scaling and Draining
    Testing our services
    curl \
    http://192.168.99.100:8181/api/hello/jbcnconf
    Scaling services up and down
    docker service update \
    --replicas 3 helloservice
    Draining the manager node
    docker node update --availability drain mgr
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30. Wrap-up
    

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31. Conclusion
    With Java EE and Docker you get…
    easy to understand code
    fast build times
    reproducable deployments
    easy scaling of your services
    You are fast and efficient because you have your focus on your
    business code. You create business value!
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32. Thank You! Questions?
    Slides, Code, Video
    http://fihlon.ch/jbcnconf17
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