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APPLICATIONS AND CONTAINERS AT
SCALE:
OpenShift + Kubernetes + Docker
Presented by:
Steven Pousty
OpenShift/Red Hat
@TheSt...
Agenda
• Cover the tech
• Show some demos
• Wrap it up
Assumptions
• You have written web applications
• You like things easy
Platform as a Service
Let’s Start From the Bottom
Containers
Defining Container
• Based on Linux containers (namespaces,
control groups)
• Combines file system layers into a "Union Fi...
Containers vs. VMs
Containers: Pros and Cons
Pros:
• Extreme application
portability
• Very easy to create
and work with
derivative images
• ...
Wins
• Efficient resource usage
• BYOB - bring your own bits
• A standard way for people to make container
images
• Huge e...
Kubernetes
• "a system for managing containerised
applications across multiple hosts"
• declarative model – make the world...
Concepts
pod: colocated group of Docker
containers that share an IP and
storage volumes
service: provides a single, stable...
Wins
• Runtime and operational management of
containers
• Manage related Docker containers as a unit
• Container communica...
Division of Labor
• Kubernetes provides a container runtime
• OpenShift provides the Application, DevOps,
and team environ...
OpenShift Concepts
• application: one or more pods linked together by
services; distinct, interconnected components
• conf...
DEMO
Wins
• Efficiently manage thousands of applications,
auto-scaling components independently and
updating them en masse
• Re...
Conclusion
• We covered A LOT
• For us, it's the Linux story again – huge community
through best upstreams - come build wi...
APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker
APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker
APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker
APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker
APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker
APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker
APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker
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APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker

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APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker

  1. 1. APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + Docker Presented by: Steven Pousty OpenShift/Red Hat @TheSteve0 on Twitter, IRC, Instagram, Ingress, Skype, SmugMug, and Github
  2. 2. Agenda • Cover the tech • Show some demos • Wrap it up
  3. 3. Assumptions • You have written web applications • You like things easy
  4. 4. Platform as a Service
  5. 5. Let’s Start From the Bottom Containers
  6. 6. Defining Container • Based on Linux containers (namespaces, control groups) • Combines file system layers into a "Union File System" • Includes all of the components necessary to run a process, store persistent data, or both • Docker currently provides the best specification for portable applications
  7. 7. Containers vs. VMs
  8. 8. Containers: Pros and Cons Pros: • Extreme application portability • Very easy to create and work with derivative images • Fast boot on containers Cons: • Host-centric solution; not aware of anything else • No higher-level provisioning • No usage tracking / reporting
  9. 9. Wins • Efficient resource usage • BYOB - bring your own bits • A standard way for people to make container images • Huge ecosystem
  10. 10. Kubernetes • "a system for managing containerised applications across multiple hosts" • declarative model – make the world match the truth • open source project by Google
  11. 11. Concepts pod: colocated group of Docker containers that share an IP and storage volumes service: provides a single, stable name for set of pods and acts as basic load balancer replication controller: manages the lifecycle of pods and ensures specified number are running label: used to organise and select groups of objects
  12. 12. Wins • Runtime and operational management of containers • Manage related Docker containers as a unit • Container communication across hosts • Availability and scalability through automated deployment and monitoring of pods and their replicas, across hosts
  13. 13. Division of Labor • Kubernetes provides a container runtime • OpenShift provides the Application, DevOps, and team environment
  14. 14. OpenShift Concepts • application: one or more pods linked together by services; distinct, interconnected components • config: collection of objects describing combination of pods, services, replication controllers, environment variables, and other components • template: parameterised version of config for generalised reuse • build config: object defining source code URI, authentication for change notifications (webhooks), and build type (source-to-image or docker-builder) • deployment: image and settings for it: replication controller, trigger policies, and deployment strategy
  15. 15. DEMO
  16. 16. Wins • Efficiently manage thousands of applications, auto-scaling components independently and updating them en masse • Responsive, change-aware platform supports fault-tolerant, automated, and repeatable builds and deployments • All the tech packaged up and made easier to use
  17. 17. Conclusion • We covered A LOT • For us, it's the Linux story again – huge community through best upstreams - come build with us! • Your world as a sys admin or developer is looking bright • Use containers to have an agreed upon way to manage server bits – We can automate some annoying things - i.e. dev env creation or autoscaling – Template an entire application - infra and code – OpenShift packages all this technology into one nice package

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