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The Road to 1.0
Kubernetes — DOXLON Meetup, June 2015
Craig Box, Solution Engineer, Google Cloud Platform
#kubernetes kubernetes.io twitter.com/craigbox
Kubernetes
A recap
Greek for “Helmsman”:
the root of the word “governor” and “cybernetic”
● Container orchestrator
● Builds on Docker containers
○ also supporting other container technologies
● Multiple cloud and bare-metal environments
● Supports existing OSS apps
○ cannot require apps becoming cloud-native
● Inspired and informed by Google’s
experiences and internal systems
● 100% Open source, written in Go
Let users manage applications, not machines
A small group of
tightly coupled
containers
Example:
static site generator &
web server
A loop that drives
current state towards
desired state
Example:
replication controller
A set of running pods
that work together
Example: load-
balanced backends
Arbitrary metadata to
organize components
Example:
phase=production
role=frontend
Pod
Replication
Controller Service Labels
● Open sourced in June, 2014
● Google launched Google Container Engine (GKE)
○ hosted Kubernetes - don’t think about cluster setup
● Lots of partners
○ RedHat (OpenShift 3 PaaS)
○ CoreOS (Tectonic turn-key Kubernetes deployment)
○ Mesosphere (Kubernetes on Mesos - share with non-container workloads)
○ Mirantis (Murano Kubernetes on OpenStack)
● Driving towards a 1.0 release
○ O(100) nodes, O(30) pods per node
○ stable APIs (v1)
● Roadmap on GitHub
Status and plans
Kubernetes
Partnerships
Kubernetes
Some history
Project Seven: "a more attractive Borg"
Google's data centers were designed from the ground up for this approach
to management
No matter how cheap, how fast or how reliable hosting is, no-one wants
lock-in to a single provider
What we did needed to be:
● built in the open
● pattern compatible with our approach to management
● address the mistakes of our previous systems
Help the world go Cloud Native
Why build Kubernetes?
(Micro) Service orientedDynamically scheduledContainer packaged
We wanted:
1. To write in Go, not Java or C++
● The container world was
moving to Go
● We knew Go was more
productive
2. To showcase the critical constructs
● Other systems were largely
monolithic
● Build the simplest thing that
works and grow from there
Help the world go Cloud Native
Why build Kubernetes?
3. "Over-modularity"
● Necessary for an ecosystem
to emerge
4. The cluster environment to be
lightweight
● Turn up and turn down as
easily as a VM
● Mesos focus: schedulers and scheduling
○ Influenced by Google's published papers for Map/Reduce workloads
● Kubernetes focus: make it easy to build and manage distributed systems
○ scheduling is part of this, but not the only (or even primary) focus
○ services (provides discovery and load balancing)
○ master election
○ config store
○ easy private registry integration
○ namespaces
○ secrets
○ service accounts
○ volumes, and auto mount/unmount of persistent storage
Relationship to Mesos
Kubernetes
Relationship to Mesos
● No-one runs Mesos: they run Mesos + Chronos, Marathon, Aurora, or write their
own scheduler
● If you want Mesos, run Mesos + Kubernetes
● Mesos focus on what they’re great at (hardware abstraction and resource pooling)
● The Kubernetes community focuses on what it is good at
Target Kubernetes and you can run anywhere
Kubernetes
Spreading out now beyond Kubernetes
● appc and rkt
● Hyper, a new container VM runtime
● "The thinner the layer over Docker
that Kubernetes is, the better"
○ Proposal
● Watch this space for
Open Container Project!
Kubernetes opinions
The pod model
Kubernetes opinions
Or "do I need overlay networking?"
● Assume your application starts on
random ports
● In addition to requiring discovery for IP
addresses, you have to write custom
code (how do you convince redis to use
your lookup service for ports?)
● Ports are different between your replicas
● ACLs and QoS are harder to define for
the network without an identity for each
application
IP per Pod
Kubernetes opinions
Secrets
tmpfs-backed secret store
● Decouples secrets (passwords, SSH
keys, OAuth tokens, etc) from code
● Appears as a volume mounted to a
container within a Pod definition
● Never touches disk
● GitHub docs
“Don't make the same
mistakes we did. Only
make new ones!
– john wilkes, Principal Software Engineer
1.0 release plans
Where are we now
Kubernetes 1.0
● v0.20 is 1.0 release candidate
○ If it’s work required for a 1.0 feature, or a bug that needs to be fixed for 1.0, we’ll
review and merge as usual
○ If it’s not required for 1.0, we will place the PR in the v1.0-post milestone and
return to it once 1.0 ships
○ Focus between RC and 1.0 will be testing, usability, reliability, performance and
documentation
● v1 API has been released
○ Thanks for all the feedback that shaped the API.
○ The intent is for the v1 API to be stable, with only backward-compatible changes,
for a sustained period of time.
Where are we now
Kubernetes 1.0
● 1.0 launch event in July
○ July 21st in Portland, OR - a part of OSCON
● 1.0 signifies that Kubernetes is ready for production workloads
● Already working on the v2 API and post-1.0 features
● Network plugins
● Secrets
● Graceful termination
● Quota and other multi-user
● More volume types
● Auto-scaling
● Master and node upgrades
● Better batch job support
● Better performance and scalability
● High-availability masters
● Master election & other primitives
● Deployment controller
● Cluster federation: on-prem + multi-
cluster (“ubernetes”)
● Easier setup, and self-hosting
● rkt support
What's new (and coming)?
Kubernetes 1.0
Thank you!
Thank you!
#kubernetes kubernetes.io twitter.com/craigbox

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Kubernetes 1.0 Roadmap and Release Plans

  • 1. The Road to 1.0 Kubernetes — DOXLON Meetup, June 2015 Craig Box, Solution Engineer, Google Cloud Platform #kubernetes kubernetes.io twitter.com/craigbox
  • 2. Kubernetes A recap Greek for “Helmsman”: the root of the word “governor” and “cybernetic” ● Container orchestrator ● Builds on Docker containers ○ also supporting other container technologies ● Multiple cloud and bare-metal environments ● Supports existing OSS apps ○ cannot require apps becoming cloud-native ● Inspired and informed by Google’s experiences and internal systems ● 100% Open source, written in Go Let users manage applications, not machines
  • 3. A small group of tightly coupled containers Example: static site generator & web server A loop that drives current state towards desired state Example: replication controller A set of running pods that work together Example: load- balanced backends Arbitrary metadata to organize components Example: phase=production role=frontend Pod Replication Controller Service Labels
  • 4.
  • 5. ● Open sourced in June, 2014 ● Google launched Google Container Engine (GKE) ○ hosted Kubernetes - don’t think about cluster setup ● Lots of partners ○ RedHat (OpenShift 3 PaaS) ○ CoreOS (Tectonic turn-key Kubernetes deployment) ○ Mesosphere (Kubernetes on Mesos - share with non-container workloads) ○ Mirantis (Murano Kubernetes on OpenStack) ● Driving towards a 1.0 release ○ O(100) nodes, O(30) pods per node ○ stable APIs (v1) ● Roadmap on GitHub Status and plans Kubernetes
  • 8. Project Seven: "a more attractive Borg"
  • 9. Google's data centers were designed from the ground up for this approach to management No matter how cheap, how fast or how reliable hosting is, no-one wants lock-in to a single provider What we did needed to be: ● built in the open ● pattern compatible with our approach to management ● address the mistakes of our previous systems Help the world go Cloud Native Why build Kubernetes? (Micro) Service orientedDynamically scheduledContainer packaged
  • 10. We wanted: 1. To write in Go, not Java or C++ ● The container world was moving to Go ● We knew Go was more productive 2. To showcase the critical constructs ● Other systems were largely monolithic ● Build the simplest thing that works and grow from there Help the world go Cloud Native Why build Kubernetes? 3. "Over-modularity" ● Necessary for an ecosystem to emerge 4. The cluster environment to be lightweight ● Turn up and turn down as easily as a VM
  • 11. ● Mesos focus: schedulers and scheduling ○ Influenced by Google's published papers for Map/Reduce workloads ● Kubernetes focus: make it easy to build and manage distributed systems ○ scheduling is part of this, but not the only (or even primary) focus ○ services (provides discovery and load balancing) ○ master election ○ config store ○ easy private registry integration ○ namespaces ○ secrets ○ service accounts ○ volumes, and auto mount/unmount of persistent storage Relationship to Mesos Kubernetes
  • 12. Relationship to Mesos ● No-one runs Mesos: they run Mesos + Chronos, Marathon, Aurora, or write their own scheduler ● If you want Mesos, run Mesos + Kubernetes ● Mesos focus on what they’re great at (hardware abstraction and resource pooling) ● The Kubernetes community focuses on what it is good at Target Kubernetes and you can run anywhere Kubernetes
  • 13. Spreading out now beyond Kubernetes ● appc and rkt ● Hyper, a new container VM runtime ● "The thinner the layer over Docker that Kubernetes is, the better" ○ Proposal ● Watch this space for Open Container Project! Kubernetes opinions The pod model
  • 14. Kubernetes opinions Or "do I need overlay networking?" ● Assume your application starts on random ports ● In addition to requiring discovery for IP addresses, you have to write custom code (how do you convince redis to use your lookup service for ports?) ● Ports are different between your replicas ● ACLs and QoS are harder to define for the network without an identity for each application IP per Pod
  • 15. Kubernetes opinions Secrets tmpfs-backed secret store ● Decouples secrets (passwords, SSH keys, OAuth tokens, etc) from code ● Appears as a volume mounted to a container within a Pod definition ● Never touches disk ● GitHub docs
  • 16. “Don't make the same mistakes we did. Only make new ones! – john wilkes, Principal Software Engineer
  • 18. Where are we now Kubernetes 1.0 ● v0.20 is 1.0 release candidate ○ If it’s work required for a 1.0 feature, or a bug that needs to be fixed for 1.0, we’ll review and merge as usual ○ If it’s not required for 1.0, we will place the PR in the v1.0-post milestone and return to it once 1.0 ships ○ Focus between RC and 1.0 will be testing, usability, reliability, performance and documentation ● v1 API has been released ○ Thanks for all the feedback that shaped the API. ○ The intent is for the v1 API to be stable, with only backward-compatible changes, for a sustained period of time.
  • 19. Where are we now Kubernetes 1.0 ● 1.0 launch event in July ○ July 21st in Portland, OR - a part of OSCON ● 1.0 signifies that Kubernetes is ready for production workloads ● Already working on the v2 API and post-1.0 features
  • 20. ● Network plugins ● Secrets ● Graceful termination ● Quota and other multi-user ● More volume types ● Auto-scaling ● Master and node upgrades ● Better batch job support ● Better performance and scalability ● High-availability masters ● Master election & other primitives ● Deployment controller ● Cluster federation: on-prem + multi- cluster (“ubernetes”) ● Easier setup, and self-hosting ● rkt support What's new (and coming)? Kubernetes 1.0
  • 21. Thank you! Thank you! #kubernetes kubernetes.io twitter.com/craigbox