1
KUBERNETES ON
MESOSPHERE DC/OS
Your Hosts Today
Amr Abdelrazik
Product Marketing, Mesosphere
@amr_i_hamed
Sebastien Pahl
Director of Engineering, Mesosphere
Mesosphere
@sebp
AGENDA
• Introduction to Apache Mesos and Mesosphere DC/OS
• Kubernetes on DC/OS [Beta]
• Demo
• Q&A
Digital Transformation requires
data-intensive applications operating at scale
Traffic information system
for smarter cities
Machine learning to predict the
future of financial markets
Industrial IoT for optimized assets
and operations
Connecting people with great
local businesses
EDGE
CLOUD /
DATACENTER
Cameras, Radar,
Sonar, Lidar, GPS
~4TB of data per car
per day
MACHINE LEARNING
DATABASES
BIG
DATA
CONTAINERS
MESSAGINGK/V STORE
STORAGE
SEARCH
SELF-DRIVING
MAPS
REMOTE
DIAGNOSTICS
VEHICLE
TRACKING
PERSONALIZATION
TRAFFIC
Connected Car Infrastructure
The modern enterprise stack requires
new capabilities
Distributed computing
expertise.
Cloud-native
technologies.
DevOps process and
culture.
Engineering and operations of secure &
highly reliable services at scale.
Containers, microservices, data services
(e.g., Spark, Kafka, Cassandra).
Frequent & reliable releases supported by
an automated CI/CD toolchain.
Tupperware
& Bistro
Borg & Omega
Apache Mesos Project
Mesosphere
DC/OS OSS Project
Proprietary
DCOS Launched
2016201520132000 2010 2017
Mesosphere DC/OS is Powered by Production Proven Apache Mesos
Apache Mesos Primer 1/2: Manage your Datacenter as One Computer
9
1
Apache Mesos Primer 2/2: Application Aware Scheduling
Mesosphere Enterprise DC/OS 1.10
Your datacenter or cloud is
now one giant computer.
Platform services
installed across
datacenter or
cloud in a single
command.
AGENDA
• Introduction to Apache Mesos and Mesosphere DC/OS
• Kubernetes on DC/OS [Beta]
• Demo
• Q&A
Kubernetes on DC/OS - The best way to run Kubernetes outside of GKE
Easy Operations 100 % Pure
Containers and Data
Services, United
Simplify the operator’s
experience and
accelerate Kubernetes
initiatives
Maximize developer
productivity and integrate
with community tools and
resources
Dramatically cut costs by
running all your data
services and containers
on shared resources
â—Ź One-click install &
upgrades
â—Ź Highly available &
secure by default
â—Ź Built-in monitoring &
metrics
â—Ź Load balancing,
overlay and ingress
integration
â—Ź Run community tool
and examples
â—Ź Full stack support
for Kubernetes and
DC/OS
â—Ź No proprietary CLI
or APIs
â—Ź Run Kubernetes
alongside other data
services and traditional
apps, on the same
cluster
â—Ź Kubernetes-as-a-service
Freedom of Choice
AGENDA
• Introduction to Apache Mesos and Mesosphere DC/OS
• Kubernetes on DC/OS [Beta]
• Demo
• Q&A
DEMO
1
Why Mesosphere?
Experts in Distributed SystemsUnmatched DC/OS Platform
• “Datacenter or cloud as a computer”
operating model
• Rich ecosystem of platform services,
with hybrid cloud portability
• Automation to elastically run
containers and data services together
• Production experience on datacenter
and cloud infrastructures
• Training and professional services to
get you to desired outcomes
• Ongoing mission-critical support of
your applications
19
Q & A
20

Tech Preview: Kubernetes on Mesosphere DC/OS 1.10

  • 1.
  • 2.
  • 3.
    Your Hosts Today AmrAbdelrazik Product Marketing, Mesosphere @amr_i_hamed Sebastien Pahl Director of Engineering, Mesosphere Mesosphere @sebp
  • 4.
    AGENDA • Introduction toApache Mesos and Mesosphere DC/OS • Kubernetes on DC/OS [Beta] • Demo • Q&A
  • 5.
    Digital Transformation requires data-intensiveapplications operating at scale Traffic information system for smarter cities Machine learning to predict the future of financial markets Industrial IoT for optimized assets and operations Connecting people with great local businesses
  • 6.
    EDGE CLOUD / DATACENTER Cameras, Radar, Sonar,Lidar, GPS ~4TB of data per car per day MACHINE LEARNING DATABASES BIG DATA CONTAINERS MESSAGINGK/V STORE STORAGE SEARCH SELF-DRIVING MAPS REMOTE DIAGNOSTICS VEHICLE TRACKING PERSONALIZATION TRAFFIC Connected Car Infrastructure
  • 7.
    The modern enterprisestack requires new capabilities Distributed computing expertise. Cloud-native technologies. DevOps process and culture. Engineering and operations of secure & highly reliable services at scale. Containers, microservices, data services (e.g., Spark, Kafka, Cassandra). Frequent & reliable releases supported by an automated CI/CD toolchain.
  • 8.
    Tupperware & Bistro Borg &Omega Apache Mesos Project Mesosphere DC/OS OSS Project Proprietary DCOS Launched 2016201520132000 2010 2017 Mesosphere DC/OS is Powered by Production Proven Apache Mesos
  • 9.
    Apache Mesos Primer1/2: Manage your Datacenter as One Computer 9
  • 10.
    1 Apache Mesos Primer2/2: Application Aware Scheduling
  • 11.
  • 12.
    Your datacenter orcloud is now one giant computer.
  • 13.
    Platform services installed across datacenteror cloud in a single command.
  • 14.
    AGENDA • Introduction toApache Mesos and Mesosphere DC/OS • Kubernetes on DC/OS [Beta] • Demo • Q&A
  • 15.
    Kubernetes on DC/OS- The best way to run Kubernetes outside of GKE Easy Operations 100 % Pure Containers and Data Services, United Simplify the operator’s experience and accelerate Kubernetes initiatives Maximize developer productivity and integrate with community tools and resources Dramatically cut costs by running all your data services and containers on shared resources ● One-click install & upgrades ● Highly available & secure by default ● Built-in monitoring & metrics ● Load balancing, overlay and ingress integration ● Run community tool and examples ● Full stack support for Kubernetes and DC/OS ● No proprietary CLI or APIs ● Run Kubernetes alongside other data services and traditional apps, on the same cluster ● Kubernetes-as-a-service Freedom of Choice
  • 16.
    AGENDA • Introduction toApache Mesos and Mesosphere DC/OS • Kubernetes on DC/OS [Beta] • Demo • Q&A
  • 17.
  • 18.
    Why Mesosphere? Experts inDistributed SystemsUnmatched DC/OS Platform • “Datacenter or cloud as a computer” operating model • Rich ecosystem of platform services, with hybrid cloud portability • Automation to elastically run containers and data services together • Production experience on datacenter and cloud infrastructures • Training and professional services to get you to desired outcomes • Ongoing mission-critical support of your applications
  • 19.
  • 20.