Kubernetes is great for deploying stateless containers, but what about the big data ecosystem? Episode 3 of our Kubernetes series covers how DC/OS enables you to connect your Kubernetes-based applications to co-located big data services.
Slides cover:
1. Why persistence is challenging in distributed architectures
How DC/OS helps you take advantage of the services available in the big data ecosystem
2. How to connect Kubernetes to your data services through networking
3. How Apache Flink and Apache Spark work with Kubernetes to enable real-time data processing on DC/OS
2. Chris Gaun
PMM at Mesosphere /
Kubernetes Expert /
CNCF Ambasador
● Previous to that
Gartner analyst
covering public IaaS
● Kubernetes
community for 3 years
4. Jörg Schad
Technical Community
Lead / Developer
● Core Mesos
developer at
Mesosphere
● Passions are deep
learning, distributed
data systems, and
data analytics
5. Bootcamp: Building Kubernetes-as-a-Service at
Scale, Anywhere
● Episode 1: Building Kubernetes-as-a-Service
at Scale
● Episode 2: Deploying Kubernetes at Scale
with DC/OS
● Episode 3: Kubernetes and Big Data
Services
● Episode 4: Operating Kubernetes at Scale
with DC/OS
● End-to-end components
and best practices
● Automated management
of Kubernetes
● Connecting Kubernetes
to Big Data services
● Delivering an entire
Kubernetes solution
6. 6
Star / Clone Github
1. Go to Kubernetes DC/OS
quickstart
2. Search “DC/OS Kubernetes
Quickstart Github” or
https://github.com/mesospher
e/dcos-kubernetes-quickstart
3. Live demo
https://github.com/dcos/demos
/tree/master/flink-k8s/1.11
7. 7
Sign Up For Slack
1. Slack URL: https://chat.dcos.io/
2. Join #kubernetes channel
3. OSS support / feedback
20. • Brings “as-a-Service”
automation to any application
technology on any
infrastructure
• Organizations Run All Types of
Container Management as-a-
Service Using Mesos:
"(Netflix) launches up to 500,000
containers and 200,000
clusters/day"
-Netflix OSS, on using Titus container
management ontop Mesos