Ready to run docker images for Spring Cloud Data Flow

I’m looking for ready to run and ready to deploy images for Spring Cloud Data Flow, optimally with HDFS Fuse file system driver. Preferrably with example and documentation.

I already looked for some tutorials – but there are so many steps and configuration options to consider that I’d rather want to start from an existing image / example which may partly fit my needs and make my first steps from there.

  • “kubectl exec” results in “error: unable to upgrade connection: Unauthorized”
  • Docker Cannot start container port has already been allocated
  • How can my docker stack automatically not reuse volumes on redeploy?
  • Moving from Docker Containers to Cloud Foundry containers
  • Start Docker container using systemd socket activation?
  • Launch two nodejs app inside Docker container using pm2
  • What options do I have?

  • Docker push re-sends layers to private repository
  • What is the proper way of deploying versioned applications with docker?
  • New to mesos/marathon. How to deploy a new self defined docker?
  • Within lxc/docker container - what happens if apt-get upgrade includes kernel update?
  • QGIS-Server Plugin Process per client (WMS)
  • Simple docker deployment tactics
  • One Solution collect form web for “Ready to run docker images for Spring Cloud Data Flow”

    Depending on which target runtime (local, CF, Kubernetes, Mesos, YARN) you choose for the Spring Cloud Data Flow, deploying docker images is (or yet to be) supported.

    For local and CF deployers, the docker image support is yet to be added: https://github.com/spring-cloud/spring-cloud-dataflow/issues/695

    For kubernetes you can refer documentation here

    For mesos you can refer here

    Docker will be the best open platform for developers and sysadmins to build, ship, and run distributed applications.