Tampa Bay Cloud Computing Meetup on 9-21-2015. Discussion on containers.

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Tampa Bay Cloud Computing Meetup
Who’s Who in Containers

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• Intros
• Why Containers?
– Use Cases
• Containers vs VMs
• Who’s Who
• Open Discussion
Agenda

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A useful analogy…
Source: Docker

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Multiplicity
ofGoods
Multipilicity
ofmethods
for
transporting
/storing
DoIworry
abouthow
goods
interact
(e.g.coffee
beansnext
tospices)
CanI
transport
quicklyand
smoothly
(e.g.from
boattotrain
totruck)
Cargo Transport Pre-1960
Source: Docker

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? ? ? ? ? ? ?
? ? ? ? ? ? ?
? ? ? ? ? ? ?
? ? ? ? ? ? ?
? ? ? ? ? ? ?
? ? ? ? ? ? ?
Creates an NxN Matrix
Source: Docker
Resulted in non-optimal use of shipping vessels

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Solution: Intermodal Shipping Container
…in between, can be loaded and
unloaded, stacked, transported
efficiently over long distances,
and transferred from one mode
of transport to another
A standard container that is
loaded with virtually any
goods, and stays sealed
until it reaches final delivery.
Source: Docker

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This eliminated the NXN problem…
Source: Docker

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Static website Web frontendUser DB Queue Analytics DB
Development
VM
QA server Public Cloud Contributor’s
laptop
Containers are ‘shipping containers’ for code
Production
Cluster
Customer Data
Center
An engine that enables any
payload to be encapsulated
as a lightweight, portable,
self-sufficient container…
Source: Docker
…that can be manipulated using
standard operations and run
consistently on virtually any
hardware platform

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Static website Web frontendUser DB Queue Analytics DB
Development
VM
QA server Public Cloud Contributor’s
laptop
Production
Cluster
Customer Data
Center
Source: Docker
Or…put more simply
Developer: Build Once, Run
Anywhere (Finally)
Operator: Configure Once, Run
Anything

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Static website
Web frontend
Background workers
User DB
Analytics DB
Queue
Development VM QA Server
Single Prod
Server
Onsite Cluster Public Cloud
Contributor’s
laptop
Customer
Servers
Containers solves the NXN problem
Source: Docker

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• Common Benefits
– Agility
– Scalability/High Availability
– Cost Optimization
– Portability
Why Containers?
• Common Use Cases
– CI/CD Automation
– Auto scaling micro-services architectures
– Containers as a Service
– Hybrid cloud architectures

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Use Case – CI/CD Pipelines

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Use Case – Autoscaling Highly Available Architectures
Source: Google
Move scalability, availability, resiliency IT plumbing work from the app to the
container management solutions

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Use Case - Containers as a Service
Old Way New Way
• Bring your own technologies
• Standardize
• Portability
• Roll your own PaaS
• Inefficient use of resources
• Solving same problems over & over
• Patching nightmare
• High overhead on management & Ops
VS.

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Use Case – Hybrid Cloud

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Containers vs VMs

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Containers vs VMs

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Containers vs VMs
Value Containers Virtual Machines
Boot speed
Footprint size
Maturity
Security
Ease of Patching
Developer Agility
Containers within VMs give you the best of both worlds!

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Virtual Machines (VM) plus Containers
VMs are very mature and have years of production usage
- Many companies use VMs to deliver highly secured containers
Container
1
Container
2
Container
3
VM
Pros
- Increase security
- Data protection
- Standard
Cons
- Additional overhead
- Slight performance
hit

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Who’s Who in Container Land

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Who are the Key Players?

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Docker
Leader and innovator in this space Docker is the leader of the container ecosystem
- Pivoted from dotCloud PaaS provider
- Open Sourced in 2013
- Raised $190M last 2 years
- Currently most popular container
technology

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Docker

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The Docker “Trio” - Machine, Swarm, Compose
Zero to Docker in 1 command
- Supports multicloud
- Simplifies creating
containers
- Powerful commands
Native Clustering for Docker
- API access
- Integrates w/Discovery
services
- Scale applications
Compose complete stacks
- Define multi-container app
in a single Dockerfile
- Run app in a cluster w/a
single command

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Docker Compose
Running a docker
cluster is a simple as
creating a YML file
and running a 1 line
command !!!!

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CoreOS has a suite of products

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Rkt – aka Rocket
• Build in response to security concerns with Docker Daemon approach
• Root access to daemon creates risks
• Rkt & Docker are both driving Open Container Project
• Integrates with entire ecosystem
• Use cases with running Docker containers in prod for additional
security

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Kubernetes
Orchestration & Management Most mature solution on the marketplace
- Has been used internally by Google since 2004
- Google launches 2B containers a week
- Uses it for their own products, cloud platform
- Allows for policy management, orchestration,
registry
- Supports for OpenStack announced
- Announced Ubernetes for multi-site clustering

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Kubernetes components
Replication controllers create
new pod "replicas" from a
template and ensures that a
configurable number of those
pods are running.
A Service offers low overhead
way to route requests to a
logical set of pod backends in
the cluster based on a label
selector.
Services also provide a
mechanism for surfacing
legacy components such as
databases with a cluster
Replication
Controllers
ServicesLabels
Labels are metadata that are
attached to objects, such as
pods.
They enable organization and
selection of subsets of objects
with a cluster.
Pods
Pods are ephemeral units that
are used to manage one or
more tightly coupled
containers.
They enable data sharing and
communication among their
constituent components.
Source: Google

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Kubernetes – Resilient HA Architectures
Source: Google

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Apache Mesos

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Mesos – Resilient HA Architectures
Source: Mesos

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Mesos/Mesospher - Frameworks

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The Container Ecosystem

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Rounding out the Container Ecosystem
Source: Wikibon

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Rounding out the Container Ecosystem
Source: Wikibon

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Open Discussion

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Thanks to the various sources used in this presentation.
• Read this great post from Wikibon and watch all the videos
• Cloud Technology Partners – Blogs, videos, whitepapers
• DockerCon 2015 YouTube channel
Further research

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