who's who in container land

© 2015 Cloud Technology Partners, Inc. / Confidential 1v

Tampa Bay Cloud Computing Meetup

Who’s Who in Containers

© 2015 Cloud Technology Partners, Inc. / Confidential 2

• Intros

• Why Containers?

– Use Cases

• Containers vs VMs

• Who’s Who

• Open Discussion

Agenda


A useful analogy…

Source: Docker


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Cargo Transport Pre-1960

Source: Docker


? ? ? ? ? ? ?

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Creates an NxN Matrix

Source: Docker

Resulted in non-optimal use of shipping vessels


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


This eliminated the NXN problem…

Source: Docker


Static website Web frontend User DB Queue Analytics DB

Development

VMQA server Public Cloud Contributor’s

laptop

Containers are ‘shipping containers’ for code

Production

ClusterCustomer 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


Static website Web frontend User DB Queue Analytics DB

Development

VMQA server Public Cloud Contributor’s

laptopProduction

ClusterCustomer Data

Center

Source: Docker

Or…put more simply

Developer: Build Once, Run

Anywhere (Finally)

Operator: Configure Once, Run

Anything


Static website

Web frontend

Background workers

User DB

Analytics DB

Queue

Development VM QA ServerSingle Prod

ServerOnsite Cluster Public Cloud

Contributor’s

laptop

Customer

Servers

Containers solves the NXN problem

Source: Docker


• 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


Use Case – CI/CD Pipelines


Use Case – Autoscaling Highly Available Architectures

Source: Google

Move scalability, availability, resiliency IT plumbing work from the app to the

container management solutions


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.


Use Case – Hybrid Cloud


Containers vs VMs


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!


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


Who’s Who in Container Land


Who are the Key Players?


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


Docker


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


Docker Compose

Running a docker

cluster is a simple as

creating a YML file

and running a 1 line

command !!!!


CoreOS has a suite of products


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


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


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

ControllersServicesLabels

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


Kubernetes – Resilient HA Architectures

Source: Google


Apache Mesos


Mesos – Resilient HA Architectures

Source: Mesos


Mesos/Mesospher - Frameworks


The Container Ecosystem


Rounding out the Container Ecosystem

Source: Wikibon


Open Discussion


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

http://wikibon.com/evolving-container-architectures/

http://www.cloudtp.com/insights/containers/

https://www.youtube.com/playlist?list=PLkA60AVN3hh94tm0_6_rGxamkuHOLr30l