Automating CICD Pipeline with GitLab and Docker Containers for Java Applications

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Setting up proper CI/CD pipeline usually appears to be quite a complex and time-consuming task even for an experienced developer, as you need to know how to properly combine all the application components with the required CI/CD interconnection points. Moreover, in the Docker world you have to manage builds of your stack images. But everyone understands the importance of this process to save time, money and efforts, as well as increase the quality. See how to make the required configurations in order to automate and simplify the preparation of environments for all lifecycle stages, perform instant integration of new product versions and make updates without downtimes.

Automating CI/CD Pipeline with GitLab and
Docker Containers for Java Applications

...but to SHOW this in ACTION
We are NOT here to TALK...

• CI and CD oriented
• simplified code
review
• powerful turnkey UI
• easy to build, ship
and run
• portability
• minimal setup
• fast deployment
• auto-scaling and HA
• superb and intuitive UI
• multi-cloud availability
Products

Repo https://github.com/jelastic/docker-gitlab

What docker-compose.yml does
1. Creates 4 application containers (gitlab, postgress, redis and registry)
2. Configures the required ENV VARS
3. Deploys, interconnects and runs docker images

What jelastic.jps does
1. Creates 2 system containers with pre-installed Docker engine and compose
2. Configures dynamic ENV VARS (tokens, passwords, domain)
3. Mounts shared folders via NFS
4. Generates and configures SSL
5. Deploys GitLab Server and Container Registry via docker-compose.yml
6. Creates and registers one Runner + adds automation for the further scaling

Import JPS https://github.com/jelastic/docker-gitlab/jelastic.jps
1
2

Copy your “root” password and “Open in browser”

502 is OK, wait for the finish of the first run (~ 3 min)

GitHub > Account Settings > Personal Tokens > New

Import from GitHub > “Access Token” is required

Create CI pipeline > Add a runner + add .gitlab-ci.yml

Add more “Runners” via Jelastic Dashboard
1
2

New runners are automatically registered

Checking container registry > Select project > Registry

Pipeline with automatic and manual triggers

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From VMs to Containers: Decompose and Migrate Old Legacy JavaEE Application

Jelastic Multi-Cloud PaaS

It is not a trivial task to decompose large monolithic enterprise applications and migrate them into multiple containers architecture without redesign. In this presentation, we dive deeply into the decomposition process and show the ways of making it smooth with the help of auto-scaling and load balancing. Find out the main road blockers and possible solutions during migration of GlassFish based applications from VMs to Containers based on the real experience.

Automated Scaling of Microservice Stacks for JavaEE Applications

Jelastic Multi-Cloud PaaS

Cloud Hosting Business in Africa: Market Specifics and Ways to Grow

Jelastic Multi-Cloud PaaS

Automated scaling of microservice stacks for JavaEE applications - JEEConf 2017

Jelastic Multi-Cloud PaaS

Auto scaling of Java EE applications is not that easy task, that is why we decided to help you and highlighted a general concept for Java EE apps with real use cases, issues, and tricky things. Find out how to configure and package clustered Payara Micro with load balancing, automatic scaling and dedicated storage for building cloud-native microservices from this comprehensive presentation by Ihor Kolodyuk (Technical Director at Jelastic) at JEEConf Kyiv 2017.

Jelastic DevOps Platform Product Overview for Service Providers

Jelastic Multi-Cloud PaaS

Auto Scaling for Multi-Tier Containers Topology

Jelastic Multi-Cloud PaaS

Jelastic DevOps Platform Product Overview for ISVs

Jelastic Multi-Cloud PaaS

DevOps Epoch 2016

Jelastic Multi-Cloud PaaS

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