Florida Linux User Exchange April 2015

Mark HinkleSenior DirectorOpen Source Solutionshttp://open.citrix.com@mrhinkle mrhinkle@gmail.com

Slides Can be Viewed and Downloaded at:http://www.slideshare.net/socializedsoftware/

Copyright Mark R. Hinkle, available under the

CCbySA license some rights reserved 2015

Walking before you run

Inspired by Simon Wardley http://enterpriseitadoption.com/

0 0.5 1 1.5 2 2.5 3 3.5 4

Amazon

Azure

Google

Rackspace

Revenue (in Billions)

Source: Company data, Evercore Group LLC, Research. Azure based on MSFT comments about a $1 billion rev run rate in May

2013. Google based on estimate by TBR (Technology Business Research)

Company Revenue Annual Growth

Amazon $962 million 49%

Microsoft $370 164%

IBM $259 86%

Salesforce $203 38%

Google $169 47%

Source: Synergy Research Group

“Citrix CloudStack 3 Brings the Power of Amazon-Style Clouds to Customers of All Sizes”

Citrix Press Release, February 12, 2012

“AWS And Eucalyptus To Make It Easier For Customers To Migrate Applications Between On-Premises Environments And The Cloud”

Eucalyptus Press Release, March 22, 2012

“HP Cloud Compute undercuts Amazon, too”

Tech Target, December 12, 2012

H/T: Adrian Cockcroft

https://twitter.com/swardley/status/585205624331444225/photo/1

Public PrivateHybrid

zzz

Public Cloud

• Global Footprint

• Massive Scale

• Extreme Velocity

Vendors

Advantages

Challenges

• Stability

• Security

• Privacy

• End-to-End

Network

• Security & SLA

• App QOS

• SI Capabilities

• Enterprise Trust

• SMB Channel

Managed Cloud SP/SI Cloud

• Higher price than

Public Cloud

• Limited services

capabilities

• Agility

• Stack lock-in

• Not always best of

breed for whole

stack

Compute

(Containers, KVM, Xen

Project)

Distirbuted Storage

(Ceph, Gluster)

Networking

(Open Daylight)

Orchestration – OpenStack, Apache CloudStack

Docker Apache Mesos Kubernetes

Platform-as-a-Service – CloudFoundry, OpenShift, Gigaspaces

Containers compared to Hardware Virtualization

• Different file formats for virtual machines

(VMware uses vmdk file format, Xen and Hyper-

V use VHD, KVM uses Raw or QCOW2)

• Guest images may be “processor architecture”

bound

• VMware and Xen can manage SCSI devices,

but KVM cannot

• KVM and Xen can use virtio drivers but not

VMware

• VMware uses a proprietary agent inside the

guest OS (VMware tools) which does not work

with Xen or KVM

• Yada, Yada, Yada

• Lightweight Linux execution environment

• Static application composition

• Reliable deployment

• Unit of resource isolation

• Execution isolation

• Multi-tenancy without heavyweight VMs

• Rapid deployment

• Ease-of-use

• Portability

• Provenance

• Reusable Code

• Open Source

• Configurable Layers

• Reproducible

• Version-Controlled

The Flux Capacitor

Of Cloud Computing

Legacy - Node First Development

App +SO bundled machine images

Fragile, tightly couple apps and little resource fungability.

Low resource efficiency

Containers

Hermetically sealed deployment units

Efficient isolation and resource use.

ClusteringDeclarative app model

Agile, decoupled architecture

Smart (Machine Learning Enhanced)

Active Management

New World - Cluster First Development

Radically enhanced developer productivity: snap together systems.

Radically reduced operations overhead: deploy, run, update effortlessly

Operational specialization: cluster/infra ops separate from app ops

• Security???

• Binary Management (Repos)

• Resource tracking and separation

• Networking across clouds/hosts

• Container consistency (Multiple container sources)

• Many other problems with rapidly deployable, highly portable, easily used technologies

Container Cluster Management – Scheduler

Kubernetes builds on top of Docker to

construct a clustered container scheduling

service. Kubernetes enables users to ask a

cluster to run a set of containers. The system

will automatically pick worker nodes to run

those containers on, which we think of more

as "scheduling" than "orchestration”

To learn more please visit: https://github.com/GoogleCloudPlatform/kubernetesGreek for Shipmaster

A design pattern in which software/application components provide services to other software/application components via a protocol, typically over a network and in a loosely-coupled way.

SOA Definition circa 1995

microservices(n) - Loosely coupled

service oriented architecture with

bounded contexts

If every service has to be

updated at the same time

it’s not loosely coupled

If you have to know

too much about surrounding

services you don’t have a

bounded context.

• Microservices can be introduced quickly

• Leave old services in production until time to clean-up

• Allows for faster speed of innovation

• Code pushes are only additive so no legacy issues

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Alex Williams (the New Stack) : Looking out at 2015, what are some of the issues that will be more complex in this distributed infrastructure world for customers – what are some of the top ones you see?

Mitchell Hashimoto(Hashicorp) - Number one is service proliferation, where your data center just becomes more and more services. Number two is, inherently becoming multi-data-center and highly-distributed at a much earlier stage. With things like Docker, where you can run things in much smaller units, it becomes a lot easier to start running a lot more services. As a result, we have a management problem, an orchestration problem, and distributed system problems in there.

Source: http://thenewstack.io/new-stack-mitchell-hashimoto-containers-no-containers-one-question-2015/

Cloud 2.0

Where Awesome Starts

…the future of technological innovation is

not stealing limited resources away from

one another, but creating new resources

— and new opportunities to create new

resources — together in a rich ecosystem.

Allison Randal

Open Source Hacker

Former OSCON Program Chair

@allisonrandal

Open Source Isn’t a Zero-Sum Game

How can you tell if they’re Legit

• Code Velocity

• Committers

• Committer Reputation

• User-driven or Vendor-Driven Innovation

• User Activity

• Corporate Support*

• Reputation of Foundation*

Visualizing Community Activity

http://www.openhub.net http://activity.openstack.org

Innovate Develop what doesn’t exist to address your needs

LeverageLeverage the growing base of high-quality open source software

Commoditize Shift non-differentiating tech to reliable services or sources

Simon Wardley – Open Source as a weapon

• Declarative > Imperative – State desired results, let the system actuate

• Control loops: Observe, rectify, repeat

• Simple > complex: Do as little as possible

• Modularity: Components, interfaces & plugins

• Legacy compatible: Requiring apps to change is a non-starter

• Network-centeric – IP addresses are cheap

• Non grouping - Labels are the only groups

• Cattle > pets: Manager your workload in Bulk

• Open > closed: Open Source, standards, REST, JSON, etc.

Courtesy: Craig Mcluckie Google Linux Collab Summit

• Massively Scalable

• Secure

• Competitive Prices

• Distributed Applications

• Proliferation of Microservices coming

• Cloud Tenets(Rapid Elasticity, Metered, Self-Service, Pooling, Broad Network)

• Hosted on User Selected Hardware

• Tailored to just what you need

• Unlikely to have as many zones as public

• Next evolution of cloud isn’t all-in-on, it’s federation of cloud services (no silos)

• Minimum Viable Cloud

• Network Quality of Service*

• Application Management *

• Service Level Differentiation*

• Developer Environments*

• Advanced Security*

• Continuous Integration*

• Developer Environments *

And I work on open source at Citrix.

http://open.citrix.com

Thank You

• Pattern: Microservices Architecture

• Gilt’s Kevin Scaldeferri on Enabling Micro-service Architectures with Scala(Video)

• Heroku Blog - Why Microservices Matter

• Microservices Example – Azure Biz Talk

• Video: Integrating to Microservices by Adrian Cockcroft

• Distributed Systems for Fun and Profit