The document presents information about the IT Camp 2017 conference focused on Docker and continuous delivery, highlighting its applications for developers, operators, and enterprises. It covers key topics such as the Docker ecosystem, swarm clusters, and best practices for continuous integration and delivery. Additionally, it emphasizes the importance of software isolation, scalability, and deployment processes using Docker.

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Docker Adventures in Continuous
Delivery
Alex Vranceanu
DevOps Lead @ Accesa
RedHat Certified Engineer, Docker Mentor
LinkedIn/Twitter: @vralex

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Many thanks to our sponsors & partners!
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DOCKER QUICK INTRO

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What is Docker?
Developers: use Docker to eliminate “works on my machine”
problems when collaborating on code with co-
workers.
Operators: use Docker to run and manage apps side-by-side in
isolated containers to get better compute density.
Enterprises: use Docker to build agile software delivery pipelines
to ship new features faster, more securely and with
confidence for both Linux and Windows Server
apps.
World’s leading container
platform

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• “Pack” with software binaries and
dependencies
• Isolates software from each other
• Shares the OS Kernel
• Easily portable across environments
• Containers are now native in Windows
Server 2016
• Works on all major Linux distributions
What is a container?

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Containers on bare metal or VMs

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Docker Ecosystem

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Docker clusters - Swarm
• Multiple Docker nodes
connected together
• Form a single Docker
”virtual” endpoint
• Will run Swarm Services

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• ContainerA  created from an  Image
• Service  runs replicas of  ContainerA
Swarm Service

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• Code push to GIT  CI system (Jenkins) starts  Unit
tests  Build binary artifact  Build, tag and push
Docker Image  Deploy to Dev Environment  Run Tests
 Done
Continuous Integration
• Example tags:
– myapp:develop-1.0.5-59 (from develop branch)
– myapp:feature-1.0.5-59 (from feature branch)
– myapp:1.0.5  corresponds to  myapp:latest

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• …and a few more:
–Connectivity with software
dependencies
–Load balancers for
containers
–Logging & Monitoring
–Hardware scaling
Continuous Delivery with Docker
• A few considerations:
–Environment separation
–Sequential updates
–High availability
–Software scaling
–Security
–Data persistence

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• CI system triggers CD pipeline
• New Docker Image deployed to pre-production
• Pre-production tests
• Image deployed to production
• Production tests
Continuous Delivery general workflow

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DEMO

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• Monitor Swarm Cluster health
– Be careful with Swarm qvorum
• Logically divide Swarm nodes with labels
• Minimum 2 replicas per service
• Use network volumes when persistence is necessary
• Build stateless apps (or use a DB service)
• Add healthchecks to containers
• Plan autoscaling parameters for Infrastructure
• Plan autoscaling parameters for Swarm Services
Lessons learned

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Q & A