Re-Platforming All the Things

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Who in the world are you?

Thomas Rampelberg

Product Manager

thomas@mesosphere.io

@grampelberg

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Who do you work for?

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Interested in trying it out now?

• Mesosphere DCOS• Apache Mesos + Marathon• https://mesosphere.com/amazon/

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• The datacenter of yesterday• The datacenter of today• The datacenter of tomorrow

Agenda

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Yesterday

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History of the World

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The Mainframe

Linux + x86

Virtual Machines / Cloud

Containers

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Mainframes

• Applications - 1 service• Hardware - 1 box• Redundancy - Systems Architecture• Reboot - Never• Services - 100s/”host”

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• Applications - 2(ish) services• Hardware - 10s of boxes• Redundancy - Multiple boxes• Reboot - Occasionally• Services - 10s/”host”

Linux + x86 - Commoditization

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Virtual Machines / Cloud

• Applications - 3+ service• Hardware - 100s of “hosts”• Redundancy - Hardware + Software• Reboot - Occasionally• Services - A couple/”host”

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• Applications - Microservices• Hardware - 1000s of containers• Redundancy - Multiple boxes• Reboot - Often• Services - 1 per container

Containers

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Today

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Pets

• They’re Individuals• You have to clean up• They fail eventually

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• Treated as a herd• Cow pies happen• They fail eventually

Cattle

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How are these different?

• 144 Cores• 1.15 TB Memory

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• 144 Cores• 1.15 TB Memory

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“Sixty-four cores or 128 cores in a single computer looks a lot like 64 or 128

machines in a datcenter” - Benjamin Hindman

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One Big Computer

• Manage Resources Globally• Manage Failures Globally• Scale Across Hosts

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• Scalability• Multi-tennancy• Efficiency• Reliability & availability• On-demand resources

What do you get?

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Who’s doing it?

Closed Source

• Google Borg• Google Omega

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Who’s doing it?

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Open Source

• Apache Mesos• Apache Hadoop (YARN)• Kubernetes

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Apache Mesos

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Overview

• Borg is awesome, let’s do something better

• Came out of UC Berkeley's AMP Lab• First paper in 2009• Running at Twitter and Apple

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• Separate resources from placement• Focus on running batch jobs and

services• All about the scheduler

What’s Different?

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Apache Hadoop (YARN)

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Overview

• Hadoop needed a better scheduler• YARN became the foundation for

Hadoop 2.0• Paper came out in 2013• Running at Yahoo and LinkedIn

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• Centralize the resource and placement decisions

• Optimize for somewhat long batch jobs (eg. MR)

• Bake the storage layer into the solution

What’s Different?

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Kubernetes

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Overview

• Google took everything they learned from Borg and Omega

• Kubernetes was open source in 2014, just went 1.0 last month

• Running in production ….. ?

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• Containers first, only containers• Pods are a first class citizen• Labels, labels everywhere

What’s Different?

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Tomorrow

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Stateful Applications

• Persistent Volumes• Durable Pods• Distributed File Systems

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• Networking virtualization• Flannel• Weave• Calico

• Dynamic load balancing• IPv6

Service Discovery

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Security

• Not everyone is a small startup• Compliance is important• Long tail of process• Containers are still early• Schedule policy, automatically

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• Sizing is hard• Not all processes need guarantees• Let the scheduler sort it out

Oversubscription

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Next Steps

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Getting Started

• Apache Mesos - http://mesosphere.com/product

• Apache Hadoop (YARN) - http://bit.ly/1K13E4S

• Kubernetes - http://kubernetes.io/gettingstarted/

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• http://chat.mesosphere.com/• http://mesos.apache.org/community/• https://wiki.apache.

org/hadoop/HowToContribute• http://kubernetes.io/community/

Get Involved!

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Get Awesome

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