Best strategy to dockerize Java with Angular JS applications - docker

I have a java/AngularJS project that needs to be dockerize for CI/CD process. My project is as below:
Project:
UI - Angular/Node JS
Java - Project ABC:
-- Branch: Master
-- Service 1 (.jar/war)
-- Service 2 (.jar)
-- Service 3 (.jar)
Should I put all jar/war files into one container/volume? I would like to automate the process as much as possible using CI/CD tools. Any suggestions would be appreciated. Thanks.

a service is called a micro service only if he can be as a standalone process, meaning it can communicate with other services via socket, fd, pipes etc.. (common and most easy use is socket, often as a higher protocol aka http)
if your services are meeting this criteria than each one of them should be in a different docker container, you can expose any port on any container and because docker maintain a host and dns system you can access each one via the name_of_container:port you should look in the docker compose docs for more info

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Run a web page similar to kubernetes dashboard

I a want to run a web page similar like kubernetes dashboard.The web page takes input from the user and generates a small file but i want the web page to be loaded without using any server. kubernetes is deploying a pod and bringing up the web page i want to do the same.If kubernetes is also using a server how is it using it(is it directly downloading it with the OS in the pod or how is kubernetes doing it).
Overview I want to know how kubernetes dashboard is getting deployed is it using a server if so how is it getting the server installed in the kubernetes pod else how is it bring up the UI.
Actually, Kubernetes plays the role as an orchestrator and provides sufficient way for building communication channels between containers in the cluster and uses Docker by default as a container runtime.
Containers represent run-time environment for images, however images consist with OS layer and application binaries, a good explanation you can find here. In order to build own image you might consider two ways to afford this: create an image from existing one in Docker Hub or compose image from Dockerfile.To store the customized image might be the option to push it into Docker Hub repository or stand for some private isolated repo by deploying a Registry server.
When you are ready with an image, and you plan to implement application in Kubernetes cluster, that's a good time to create first microservice. Although, there are tons of materials about Kubernetes cluster and its run-time engine architecture in the globe, I would focus on the application deployment lifecycle.
Deployment is the main mechanism which defines how are Pods should to be implemented within a cluster and provides specific configuration for further application run-time workflow.
Service describes a way how the particular Pod will communicate with other resources within a cluster, providing endpoint IP address and port where your application will respond.
In general scenario with Kubernetes Dashboard, the method in use kubectl proxy will expose the application by proxying gateway between host and Kubernetes API, which is more like for testing purposes and not secure, in comparison with Nodeport type which brings more convenient way to make application accessible outside the cluster, as described in this Stack thread.
I encourage you to get some more learning stuff in the official Kubernetes documentation.

How to manage multiple projects on Docker?

In our company ~7 projects, each based on Docker. Each project contain base services, like MySQL, Nginx, PHP. Some of projects communicate with other projects. Because of many services on same port, we make new docker host (docker-machine) for each project. From here few problems are coming:
VirtualBox assign random IP to each Docker host, depends on sequence of executing.
Hard to switch from project to project, need to set different shell envs all the time. Easy to make mistake.
Well, I'm searching for more enterprise solution to manage many docker machines. Or a some technique that can help me with current situation.
I had similar problems last summer.
First, I started to deploy my projects to swarm-cluster as services, instead of clustering several docker VMs. This enabled me to play around services with only the service IDs. It is important that how to separate projects into services, this part may be cumbersome depending on your project.
https://docs.docker.com/engine/swarm/swarm-tutorial/deploy-service/
Then, I build my configuration and monitoring software once on swarm-manager and use it. You can use your automation tools on docker-manager to control services.
A virtual machine consumes resources and it is better to avoid it if is not necessarily. Instead you could deploy the projects in the docker swarm on bare metals.
But because every project has an entry point that needs to be accesible from the outside world (i.e. https://site1.com and https://site2.com) you can't expose the same port (443 or 80) for all the frontend services in the same swarm. For this you can use a reverse proxy like HAProxy or Nginx that forwards the requests to the right service based on the hostname. The reverse proxy could be also a service in the swarm. In this situation you should not expose the projects' ports anymore.
A reverse proxy has many other advantages, like SSL termination (this makes the SSL certificate management a lot easier).
If you add the projects to the same custom network then the services from different projects could communicate securely and directly, using their docker service name and the internal port (i.e. 80).

How to run micro services using docker

Am newbie to Spring boot. I need to create micro services and need to run by docker. I have attached my project structure here. Problem which is every time i need to up the micro services manually. For example am having 4 micro services and i just up this services manually. But all micro services should be started itself when deploying into docker. How to achieve this.
Also am using Cassandra database.
I don't know if it is the best solution, but it is the one i used:
First say to the spring boot maven plugin to create an executable jar :
<configuration>
<executable>true</executable>
</configuration>
After that you can add your application as a service in init.d and make it start when the container starts.
You can find a better explaination here : http://www.baeldung.com/spring-boot-app-as-a-service
Please have a look at the numerous tutorials that exists for spring boot and dockerizing this application.
Here is one which explains every step that is necessary
Build Application as Jar File
Create your docker image with Dockerfile
In this dockerfile you create an environment like you would have a new setup linux server and you define what you need for software to run your application: like java. Have a look at existing images like anapsix/alpine-java.
Now think of what you need to do to start your app in this environment: java -jar --some-options -location-of-your-jar.jar
Make sure to be able to reach your app by exposing the docker port so that you can see that is runs.
As I sad if these instruction is not helpful for you, then please read tutorials for docker and dockerizing spring boot applications.
You should use docker-compose. Best way to manage releases/versions and builds is to make own repository for dedicated docker images(nexus is an example).
In docker-compose you can describe all your infrastructure, create services, network, connecting services to communicate other services, so I think you should go this way to create nice developmnet and production build flow for your microservice application
For cassandra and other known services you can find prefered images on https://hub.docker.com.
In each microservice you should have Dockerfile, then in main directory of your solution you can create docker-compose.yml file with services definitions.
You can build your microservices in docker container too. Read more about "Java application build flow with docker" in google.
All about docker compose you can find here: https://docs.docker.com/compose/
All about docker swarm you can find here: https://docs.docker.com/engine/swarm/

How to automate application deployment when using LXD containers?

How should applications be scripted/automatically deployed when in LXD containers?
For example is best way to deploy applications in LXD containers to use a bash script (which deploys an application)? How to execute this bash script inside the container by executing a command on the host?
Are there any tools/methods of doing this in a similar way to Docker recipes?
In my case, I use Ansible to:
build the LXD containers (web, database, redis for example).
connect to the containers and deploy the services and code needed.
you can build your own images for example with the services and/or code already deployed and build specific containers from this images.
I was doing this from before LXD had Ansible support (Ansible 2.2) i prefer to use ssh instead of lxd connection, when i connect to the containers to deploy services/code. they comes with a profile where i had setup my ssh public key (to have direct ssh connection by keys ... no passwords)
Take a look at my open source project on bitbucket devops_lxd_containers It includes:
Scripts to build lxd image templates including Apache, tomcat, haproxy.
Scripts to demonstrate custom application image builds such as Apache hosting and key/value content and haproxy configured as a router.
Code to launch the containers and map ports so they are accessible to the larger network
Code to configure haproxy as layer 7 proxy to route http requests between boxes and containers based on uri prefix routing. Based on where it previously deployed and mapped ports.
At the higher level it accepts a data drive spec and will deploy an entire environment compose of many containers spread across many hosts and hook them all up to act as a cohesive whole via a layer 7 proxy.
Extensive documentation showing how I accomplished each major step using code snippets before automating.
Code to support zero-outage upgrades using the layer7 ability to gracefully bleed off old connections while accepting new connections at the new layer.
The entire system is built on the premise that image building is best done in layers. We build a updated Ubuntu image. From it we build a hardened Ubuntu image. From it we build a basic Apache image. From it we build an application specific image like our apacheKV sample. The goal is to never rebuild any more than once and to re-use the common functionality such as the basicJDK as the source for all JDK dependent images so we can avoid having duplicate code in any location. I have strived to keep Image or template creation completely separate from deployment and port mapping. The exception is that I could not complete creation of the layer 7 routing image until we knew everything about how other images would be mapped.
I've been using Hashicorp Packer with the ansible provisioner using ansible_connection = lxd
Some notes here for constructing a template
When iterating through local files on your host system you may need to be using ansible_connection = local (e.g for stat & friends)
Using local_action in ansible with the lxd connection is still
action inside the container when using stat (but not with include_vars & lookup function for files)
Using lots of debug messages in Ansible is helpful to know which local environment ansible is actually operating in.
I'm surprised no one here mentioned Canonicals own tool for managing LXD.
https://juju.is
it is super simple, well supported, and the only caveat is it requires you turn off ipv6 at the LXD/LXC side of things (in the network bridge)
snap install juju --classic
juju bootstrap localhost
from there you can learn about juju models, deploy machines or prebaked images like ubuntuOS
juju deploy ubuntu

HaProxy for service discovery on a marathon mesos docker linked containers

Please this is not asked anywhere I have checked. Here is what I have done. I am able to deploy single instance of mesos, marathon and docker. Moving next step ahead I want to have 2 mesos slave(docker containers) linked to each other. Just using docker the same can be achieved by using the docker link feature. But while using the orchestration(mesos) and scheduler(marathon)it seems u need to use service discovery.
My setup up is simple and runnning on a single host. So I will have 2 docker containers one running a simple pub/sub and one running rabbitmq. How can I use HA PRoxy in this setup. I have seen some documents provided by mesosphere
http://mesosphere.com/docs/getting-started/service-discovery/ but it is not clear how to go about it.
The canonical approach for service discovery with Mesos + Marathon + Docker is currently what is described in the document you linked.
I'm assuming you're able to get the two applications running in Marathon already.
Typically what happens is:
1) Configure your application definition to include the ports that your application requires.
2) You set up the provided haproxy-marathon-bridge script to run periodically using a utility like cron. This script scrapes Marathon's API to figure out what host and port the application instances are running on and what the known "friendly" port is.
In the example in the service discovery article, the first application has friendly ports of 80 and 443, whilst the second has a friendly port of 8081.
The script then generates a haproxy.cfg configuration that has rules mapping localhost:friendly_port to actual_host:actual_port.
3) Configure your applications to look for each other on localhost:friendly_port. HAProxy will route connections appropriately.
Hope this helps your understanding!
I created a haproxy service discovery docker container that you can run in mesos. It's not production ready but I am using it in my development environment doing exactly what you're trying to do. The reason I prefer this over what comes with marathon is I haven't found a good way to do complicated haproxy configurations with haproxy-marathon-bridge. With spiderweb you can create a template for the haproxy configuration which enables you to do things such as acl routing etc. It doesn't support health checks yet which is something that will need to be done before its production ready. You can see the project here https://github.com/SBRDevelopment/spiderweb.
We have combined Mesos and Marathon with consul and registartor,
so in the end you have haproxy configuration auto-generated with consul-template.
try https://github.com/eBayClassifiedsGroup/PanteraS
All in one container.
With Mesos-DNS you can also do the following:
Setup mesos-dns as in this guide: http://programmableinfrastructure.com/guides/service-discovery/mesos-dns-haproxy-marathon/ (you can skip HAProxy steps they are not required)
When you start your docker containers make sure that they have "namespace %slave_ip_with_mesos_dns%" (replace string with IP address) in their /etc/resolv.conf files.
if lets say name of an app is "peek" it should be reachable from other applications at peek.marathon.mesos

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