Containers, VMs, and Clouds: Containers & Clouds & VMs: OH - - PowerPoint PPT Presentation

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Containers, VMs, and Clouds: Containers & Clouds & VMs: OH - - PowerPoint PPT Presentation

Containers, VMs, and Clouds: Containers & Clouds & VMs: OH My Oh My! Mike Coleman, Technology Evangelist Docker @mikegcoleman Who Am I? Technology evangelist at Docker Former: Puppet, VMware, MSFT, Intel, and HP First


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SLIDE 1

Containers & Clouds & VMs: OH My

Containers, VMs, and Clouds: Oh My!

Mike Coleman, Technology Evangelist – Docker @mikegcoleman

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SLIDE 2

Who Am I?

  • Technology evangelist at Docker
  • Former: Puppet, VMware, MSFT, Intel, and HP
  • First half of my career was in IT
  • Second half in product management and technical marketing
  • @mikegcoleman (but mostly soccer)
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So why are you sitting here today

  • Containers vs. VMs?
  • Physical vs Virtual?
  • Virtual vs. Cloud?
  • Cloud vs. Physical?
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SLIDE 4

4

VMs

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5

Containers

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6

They’re different, not mutually exclusive

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Just answer the question . . .

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SLIDE 8

Besides, you wouldn’t like the answer

http://nextgenerationgardener.blogspot.com/2013/03/building-show-garden-gathering-it-all.html

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SLIDE 9

So many variables

  • Performance
  • Security
  • Scalability
  • Existing Skillsets
  • Costs
  • Etc.

http://people-equation.com/do-your-words-encourage-or-deflate/math-equation_chalkboard/

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SLIDE 10
  • Capacity
  • Mixed Workloads
  • Latency
  • Disaster Recovery
  • Licensing Costs

Points to Consider

  • Existing Automation

Frameworks

  • Resource Pools / Quotas
  • Multi-tenancy
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SLIDE 11

Why even start?

  • Faster deploy times

−Build vs. Run time

  • Simplified dependencies
  • Unified tool chain
  • Identical environments
  • API automation
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Reduce costs and streamline operations

Containers and VMs together:

  • Optimize: Added flexibility in

using infrastructure resources

  • Consolidation: Greater workload

density across existing servers.

  • Reduce Costs: Lower OS and

VM licensing CapEx and reduce OpEx costs to support and maintain smaller infrastructure

Before: One service and OS per VM After: One container per service. Multiple containers running per VM

Virtualization

Bins/Libs App OS Bins/Libs App OS Bins/Libs App OS

Virtualization

Bins/Libs App OS Virtualization OS Bins/Libs App Docker Engine Bins/Libs App Bins/Libs App Bins/Libs App

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13

Swisscom

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Migrate any workload anywhere

Infrastructure agnostic platform

  • Standardize: Docker abstracts

away the infrastructure and virtualization away from the standardized app containers

  • Portability: Containers move

without friction from one environment to another – no recoding needed

  • Lift and Shift: Containerize

legacy and microservices to gain portability

Bins/Libs App OS Bins/Libs App OS Bins/Libs App OS Bins/Libs App Bins/Libs App Bins/Libs App OS Docker Engine OS Docker Engine

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SLIDE 15

After

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Centralized CaaS for DevOps

App Service App Service

App A App B

Auth …more App Reg Marketplace Logging Auth Session …more App Reg Logging

Before

App B Auth App Reg Marketplace Logging App Service

Application Teams Universal Control Plane

App A Auth App Reg Marketplace Logging App Service App B Auth App Reg Marketplace Logging App Service App A Auth App Reg Marketplace Logging App Service

Portability

Authorization App Registration Session Management Marketplace Integration Logging …more

Trusted Registry

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ING delivers value faster

Challenge

  • 9+ months to deploy to production
  • Poorly rated applications
  • Redundant processes and apps

Solution

  • Continuous Integration with Docker Engine and

Registry open source and adopt DevOps Benefits

  • Ready to deploy in 15 minute
  • 1,500 deployments per week
  • 180 DevOps teams
  • CD pipeline transformed in 4 month
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Gilt deploys over 100X a day

Challenge − From dev-to-deploy: weeks − 7 Monolithic apps − Wasted time implementing monolithic IaaS and PaaS Solution − Continuous Delivery with Docker Engine

  • pen source and private repos on

Docker Hub Benefits − From dev-to-deploy in minutes − 400+ microservices − 100+ innovations a day − Easily burst to cloud burst at peak shopping times

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Dockerizing Monoliths

  • Microservices to Monoliths continuum
  • Monoliths and Microliths
  • Focus on the real challenges

− static configs, fixed ports, multiple processes

  • Start somewhere . . .
  • End up somewhere else
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Cornell University

  • First Dockerized App: Confluence – April

2015

  • Complicated Tech Stack

− Apache 2.2.10 − OpenSSL 0.9.8H − Java 1.6 (EOL 2/13) − Confluence 5.6.5

  • Custom code for SSO and LDAP

integration

  • Previous Confluence update took 6

months

  • Out of synch environments
  • Brain drain
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Cornell University – End Product

  • Infrastructure as code
  • Custom images (rebuilt daily)
  • CI workflow featuring Jenkins and

Docker Trusted Registry

  • Quarterly upgrades
  • 2 Months to Dockerize and move

Confluence to the cloud

  • 10x reduction in staff hours

supporting Confluence

“ . . . Docker can improve the state of many applications including legacy and vendor solutions”

  • Shawn Bower, Cloud Architect –

Cornell University

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SLIDE 21

What’s the Right Tool for the Job?

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So, what’s next

  • Pick a project
  • Get your hands dirty
  • Mistakes may (will) be made
  • Join the community
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Thank You! Q&A

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Docker Sessions @ LinuxCon - Booth 41!

Wednesday Aug 24th

From 1 to N Docker Hosts: Getting Started with Docker Clustering - Mike Goelzer and Victor Vieux Highly Available and Distributed Containers - Kendrick Coleman, Docker Captain User Namespace and Seccomp Support in Docker Engine - Paul Novarese When the Going gets Tough, Get TUF Going - Riyaz Faizullabhoy Toronto Docker Meetup

Thurs Aug 25th

Tutorial: Orchestration Containers in Production at Scale with Docker Swarm - Jerome Petazzoni

Tues Aug 23rd

Runc: The Little (container) Engine that Could - Phil Estes Unikernals: When you Should and When your Shouldn’t - Amir Chaudhry Toronto Docker Meetup

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