KubeCon EU 2016 Keynote: Kubernetes State of the Union

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Kubernetes is growing rapidly with over 5,000 commits in the 1.2 release and 50% more contributors. The 1.2 release focuses on getting started quicker and getting big faster with a new UI, improved scaling, and simplified deployments. Key features in 1.2 include the deployment API for automated application updates, configmaps for late-binding configuration, and daemonsets to ensure a pod runs on each node. Version 1.3 is planned for the coming weeks with additional features to support legacy applications, federated clusters, auto-scaling, and more.

Technology

Kubernetes State of the Union
David Aronchick
@aronchick
Senior Product Manager, Google Container Engine & Kubernetes

Google Cloud Platform
Since January 2015
1.0
1.1
1.2

Google Cloud Platform
Velocity
5k Commits
in 1.2
+50% Unique
Contributors
Top 0.01% of
all Github
Projects
1200+ External
Projects Based
on K8s
Companies
Contributing
Companies
Using

Google Cloud Platform
Why Are We Growing So Fast?
Platform
• Well-designed architecture
• Key features are in the box
• True portability
Community
• Extremely active contributors and participants
• Responsive (both to questions and requests)
Adoption
• Who wouldn’t want to run containers like Google?
• Users contribute back to the platform and community

Google Cloud Platform
Vision
Give Everyone the Power to Run Agile,
Reliable, Distributed Systems at Scale

Google Cloud Platform
Kubernetes 1.2 Release
• Two primary investments
• Get started quicker
• Get big faster
• Announcing Kubernetes 1.2
• New UI
• Improved scale
• Simplified application deployments
• Automated cluster management
• Third party extensibility
• Much much more…
• Available by end of March

Google Cloud Platform
Deployment
Problem: Manual rollout of
applications (and changes)
Today:
● kubectl rolling-update
● sed (?!?)
apiserver

Google Cloud Platform
Deployment API
Solution: Deployment API
apiserver$ kubectl create -f Deployment-1.yml
Deploy-
ment

Google Cloud Platform
Deployment API
Solution: Deployment API
apiserver
Deploy-
ment
$ kubectl create -f Deployment-1.yml

Google Cloud Platform
Deployment API
Solution: Deployment API
apiserver$ kubectl create -f Deployment-1.yml

Google Cloud Platform
Deployment API
Solution: Deployment API!
apiserver
Deploy-
ment
$ kubectl create -f Deployment-2.yml

Google Cloud Platform
Deployment API
Solution: Deployment API!
apiserver$ kubectl create -f Deployment-2.yml

Google Cloud Platform
ConfigMaps
Problem: Managing config separately
from your applications
Today:
● Build container with config
● Reconfigure app to use
external config store
● Run a sidecar container that pulls the config
from config store
apiserver

Google Cloud Platform
ConfigMaps
Solution: ConfigMaps!
● Late-binding, live-updated
and atomic
● Available as a file or env vars
apiserver
Config
Map
$ kubectl create -f etcd-config.yml

Google Cloud Platform
DaemonSets
Problem: Run one (and only one) pod on
every node (or a subset of nodes)
Today:
● Over-replicate
● Static pods
● Grab unique resource per node
● Run outside of Kubernetes
apiserver

Google Cloud Platform
DaemonSets
Solution: Daemon Sets!
apiserver
Pod
$ kubectl create -f daemon-sharder.yml

Google Cloud Platform
Solution: Daemon Sets!
DaemonSets
Pod
$ kubectl create -f daemon-sharder.yml apiserver

Google Cloud Platform
Roadmap
• Kubernetes 1.3 is weeks* away!
• Legacy application support (aka Pet Set)
• Cluster Federation (aka Ubernetes)
• Scale++
• In-cluster IAM
• Cluster autoscaling
• Scheduled job
• Public cloud dashboard (with nightly runs)
• Lots, lots more!
• Open for proposals now
* Where weeks = O(16)

Google Cloud Platform
Kubernetes is Open
- open community
- open design
- open source
- open to ideas
http://kubernetes.io
https://github.com/kubernetes/kubernetes
slack: kubernetes (http://slack.kubernetes.io)
twitter: @kubernetesio
me: @aronchick (aronchick@google.com)

Kubernetes Helm makes application deployment easy, standardized and reusable. Use of Kubernetes Helm leads to better developer productivity, reduced Kubernetes deployment complexity and enhanced enterprise production readiness. Enterprises using Kubernetes Helm can speed up the adoption of cloud native applications. These applications can be sourced from open-source community provided repositories, or from an organization’s internal repository of customized application blueprints. Developers can use Kubernetes Helm as a vehicle for packaging their applications and sharing them with the Kubernetes community. Kubernetes Helm also allows software vendors to offer their containerized applications at “the push of a button.” Through a single command or a few mouse clicks, users can install Kubernetes apps for dev-test or production environments.

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Containerising your applications with Docker gets more and more attraction. While managing your Docker containers on your developer machine or on a single server is not a big hassle, it can get uncomfortable very quickly when you want to deploy your containers in a cluster, no matter if in the cloud or on premises. How do you provide high availability, scaling and monitoring? Fortunately there is a rapidly growing ecosystem around docker, and there are tools available which support you with this. In this session I want to introduce you to Kubernetes, the Docker orchestration tool started and open sourced by Google. Based on the experience with their data centers, Google uses some interesting declarative concepts like pods, replication controllers and services in Kubernetes, which I will explain to you. While Kubernetes still is a quite young project, it reached its first stable version this summer, thanks to many contributions by Red Hat, Microsoft, IBM and many more.

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Modern cities are rapidly adopting smart technologies to deliver realtime data about a number of city services. These technologies heavily rely on a high quality network interconnecting all sensors and reactors as lamps with controlling services. Many low level PLC systems solve the automation, but their purpose is limited to narrow areas of usage as these device have limited computational power. On the other hand, the rise of single-board computers as Raspberry Pi with multi-core processors and plenty of memory can serve as a platform for virtualized services based on Kubernetes. The distributed cluster across whole city on public streetlights gives operators the possibility to adapt to rapidly changing conditions. We propose distribution of HA clusters of single-board devices in key topological points of smart city mesh networks connected together by reliable SDN network. These virtualized services fulfill various tasks as data collection, data processing or and all of these services can rely on cloud backends, that provide much more computational and storage capacity. Services can be operated at both locations to serve local as well as foreign users. We will share whole concept and architecture of SmartCity project, which covers deployment of more than 3000 endpoints[, both sensoric and reactive devices,] and about 30 smart gateways running in HA mode on Kubernetes Nodes. Sched Link: http://sched.co/6BUM

KubeCon EU 2016: Templatized Application Configuration on OpenShift and Kuber...

KubeAcademy

Kubernetes gives developers a platform on which to run images and many configuration objects to control those images, but constructing a cohesive application made up of images and configuration objects is currently a challenge. Reconstructing or sharing that configuration can also be a challenge. This talk will cover the Template feature implemented in OpenShift to simplify the process of defining and repeatably deploying coordinated objects, discuss what is coming to Kubernetes with respect to this capability, and touch on several other existing projects that enable templatizing application definitions. Sched Link: http://sched.co/6BVH

KubeCon EU 2016 Keynote: Pushing Kubernetes Forward

KubeAcademy

The Kubernetes community has aspirations of becoming the Linux kernel of distributed systems. Together we want to build a scalable, stable, and secure platform for distributed system that is the ubiquitous choice for people building server infrastructure. This talk will discuss the major community efforts made in recent months to deliver this goal and the work we need to do to continue our momentum. Sched Link: http://sched.co/68lU

KubeCon EU 2016: Creating an Advanced Load Balancing Solution for Kubernetes ...

KubeAcademy

Load balancing is an important part of any resilient web application. Kubernetes supports a few options for external load balancing, but they are limited in features. After a brief discussion of those options and the features they lack, we’ll show how to build an advanced load balancing solution for Kubernetes on top of NGINX, utilizing Kubernetes features including Ingress, Annotations, and ConfigMap. We’ll conclude with a demo of how to use NGINX and NGINX Plus to expose services to the Internet. Sched Link: http://sched.co/6Bc9

KubeCon EU 2016: Killing containers to make weather beautiful

KubeAcademy

The Met Office Informatics Lab includes scientists, developers and designers. We build prototypes exploring new technologies to make environmental data useful. Here we describe a recent project to process multi-dimensional weather data to create a fully interactive 4D browser application. We used long-running containers to serve data and web pages and short-running processes to ingest and compress the data. Forecast data is issued every three hours so our data ingestion goes through regular and predictable bursts (i.e. perfect for autoscaling). We built a Kubernetes cluster in an AWS group which auto-scales based on load. We used replication controllers to process the data. Every three hours ingestion jobs are added to a queue and the number of ingestion containers are set in proportion to the queue length. Each worker completes exactly one ingestion job from the queue and then exits, at which point Kubernetes creates a new one to process the next message. This has allowed us to remove the lifespan logic from the containers and keep them light, fast and massively scalable. We are now in the process of using this in our production systems. Sched Link: http://sched.co/6BWQ

KubeCon EU 2016: Multi-Tenant Kubernetes

KubeAcademy

KubeCon EU 2016: "rktnetes": what's new with container runtimes and Kubernetes

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rkt is a modern container runtime, built for security, efficiency, and composability. Kubernetes is a modern cluster orchestration system allowing users. Kubernetes doesn't directly execute application containers but instead delegate to a container runtime, which is integrated at the kubelet (node) level. When Kubernetes first launched, the only supported container runtime was Docker - but in recent months, we've been hard at work integrating rkt as an alternative container runtime, aka "rktnetes". The goal of "rktnetes" is to have first-class integration between rkt and the kubelet, and allow Kubernetes users to take advantage of some of rkt's unique features. This talk will describe how rkt works, some of the features that make it unique as a container runtime, and some of the process of integrating an alternative container runtime with Kubernetes, as well as the latest state of "rktnetes."Introduction to rkt, including special/unique features. Sched Link: http://sched.co/6BY7

KubeCon EU 2016: Full Automatic Database: PostgreSQL HA with Kubernetes

KubeAcademy

Why pay for always-on relational database service when you can deploy it yourself so easily? This demo-heavy talk will show off a deceptively simple high availability stack for PostgreSQL, using Docker, Etcd, Kubernetes, Patroni and Atomic. Not only is this open source solution ready to go to give you HA Postgres right now, it represents an approach which can be adapted to other relational databases with replication. Sched Link: http://sched.co/6BV4

KubeCon EU 2016: A lightweight deployment system for appops

KubeAcademy

KubeCon EU 2016: Scaling Open edX with Kubernetes

KubeAcademy

Abstract: Over the past few years, massive open online courses (MOOCs) powered by Open edX have become wildly popular, bringing free or low-cost education to millions of students around the world. Such success, however, presents a slew of challenging problems in terms of providing a scalable, robust, and secure platform. At Appsembler, we offer customers a fully managed and supported Open edX stack, all the way from the frontend web application to the backend services like ElasticSearch, MySQL, and MongoDB. With so many moving parts, we have come to realize the value of a multi-container, microservices-oriented architecture using Kubernetes. In contrast to a single-container deployment of the Open edX stack, a Kubernetes-based approach allows us to scale different services independently; improves robustness since we can simply spin up new copies of containers if they go down; and results in improved security through greater segmentation and isolation. In addition to discussing these benefits, we'll also cover Kubernetes’ integration with Google Cloud services like Cloud SQL and Cloud Logging. Sched Link: http://sched.co/6BbQ

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KubeCon EU 2016: Templatized Application Configuration on OpenShift and Kuber...

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KubeCon EU 2016 Keynote: Kubernetes State of the Union

1. Kubernetes State of the Union David Aronchick @aronchick Senior Product Manager, Google Container Engine & Kubernetes

2. Google Cloud Platform Since January 2015 1.0 1.1 1.2

3. Google Cloud Platform Velocity 5k Commits in 1.2 +50% Unique Contributors Top 0.01% of all Github Projects 1200+ External Projects Based on K8s Companies Contributing Companies Using

4. Google Cloud Platform Why Are We Growing So Fast? Platform • Well-designed architecture • Key features are in the box • True portability Community • Extremely active contributors and participants • Responsive (both to questions and requests) Adoption • Who wouldn’t want to run containers like Google? • Users contribute back to the platform and community

5. Google Cloud Platform Vision Give Everyone the Power to Run Agile, Reliable, Distributed Systems at Scale

6. Google Cloud Platform Kubernetes 1.2

7. Google Cloud Platform Kubernetes 1.2 Release • Two primary investments • Get started quicker • Get big faster • Announcing Kubernetes 1.2 • New UI • Improved scale • Simplified application deployments • Automated cluster management • Third party extensibility • Much much more… • Available by end of March

8. Google Cloud Platform UI

9. Google Cloud Platform UI

10. Google Cloud Platform UI

11. Google Cloud Platform UI

12. Google Cloud Platform Deployment Problem: Manual rollout of applications (and changes) Today: ● kubectl rolling-update ● sed (?!?) apiserver

13. Google Cloud Platform Deployment API Solution: Deployment API apiserver$ kubectl create -f Deployment-1.yml Deploy- ment

14. Google Cloud Platform Deployment API Solution: Deployment API apiserver Deploy- ment $ kubectl create -f Deployment-1.yml

15. Google Cloud Platform Deployment API Solution: Deployment API apiserver$ kubectl create -f Deployment-1.yml

16. Google Cloud Platform Deployment API Solution: Deployment API! apiserver Deploy- ment $ kubectl create -f Deployment-2.yml

17. Google Cloud Platform Deployment API Solution: Deployment API! apiserver Deploy- ment $ kubectl create -f Deployment-2.yml

18. Google Cloud Platform Deployment API Solution: Deployment API! apiserver Deploy- ment $ kubectl create -f Deployment-2.yml

19. Google Cloud Platform Deployment API Solution: Deployment API! apiserver$ kubectl create -f Deployment-2.yml

20. Google Cloud Platform Deployment API Solution: Deployment API! apiserver$ kubectl create -f Deployment-1.yml Deploy- ment

21. Google Cloud Platform Deployment API Solution: Deployment API! apiserver$ kubectl create -f Deployment-1.yml

22. Google Cloud Platform ConfigMaps Problem: Managing config separately from your applications Today: ● Build container with config ● Reconfigure app to use external config store ● Run a sidecar container that pulls the config from config store apiserver

23. Google Cloud Platform ConfigMaps Solution: ConfigMaps! ● Late-binding, live-updated and atomic ● Available as a file or env vars apiserver Config Map $ kubectl create -f etcd-config.yml

24. Google Cloud Platform ConfigMaps Solution: ConfigMaps! ● Late-binding, live-updated and atomic ● Available as a file or env vars apiserver Config Map $ kubectl create -f etcd-config.yml

25. Google Cloud Platform ConfigMaps Solution: ConfigMaps! ● Late-binding, live-updated and atomic ● Available as a file or env vars apiserver Config Map $ kubectl create -f etcd-config.yml

26. Google Cloud Platform DaemonSets Problem: Run one (and only one) pod on every node (or a subset of nodes) Today: ● Over-replicate ● Static pods ● Grab unique resource per node ● Run outside of Kubernetes apiserver

27. Google Cloud Platform DaemonSets Solution: Daemon Sets! apiserver Pod $ kubectl create -f daemon-sharder.yml

28. Google Cloud Platform DaemonSets Solution: Daemon Sets! apiserver Pod $ kubectl create -f daemon-sharder.yml

29. Google Cloud Platform Solution: Daemon Sets! DaemonSets Pod $ kubectl create -f daemon-sharder.yml apiserver

30. Google Cloud Platform The Future

31. Google Cloud Platform Roadmap • Kubernetes 1.3 is weeks* away! • Legacy application support (aka Pet Set) • Cluster Federation (aka Ubernetes) • Scale++ • In-cluster IAM • Cluster autoscaling • Scheduled job • Public cloud dashboard (with nightly runs) • Lots, lots more! • Open for proposals now * Where weeks = O(16)

32. Google Cloud Platform CNCF

33. Google Cloud Platform Kubernetes is Open - open community - open design - open source - open to ideas http://kubernetes.io https://github.com/kubernetes/kubernetes slack: kubernetes (http://slack.kubernetes.io) twitter: @kubernetesio me: @aronchick (aronchick@google.com)

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