Running and Managing Kubernetes on OpenStack
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The document explores the integration of Kubernetes with OpenStack, detailing the history and components of both technologies. It discusses the advantages of using containers and Kubernetes for application deployment, including scalability and management challenges. Additionally, it highlights Rackspace's managed Kubernetes solution, focusing on its features such as security, ease of use, and support options.
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Running and Managing Kubernetes on OpenStack
- 1. RUNNING AND MANAGING KUBERNETES ON OPENSTACK Victor Palma – Systems Architect
- 2. TONIGHT’S AGENDA OpenStack + KUBERNETES? What OpenStack components are used to deploy kubernetes? How do I deploy kubernetes on OpenStack? Application Deployment Patterns on kubernetes
- 3. SOMETIMES YOU CAN’T START FROM SCRATCH! 3
- 4. NOT BORN IN THE CLOUD! • UI Layer • Business Logic Tier Data Access Tier Integration Tier MainframeRDMS DB(s) • Monolithic Apps • Dependent on Heavy, stagnant tech • Configuration is embedded and static • Requires specific infrastructure and configuration • Inability to decompose deployments • Lack of portability
- 5. WHAT ABOUT CLOUD NATIVE APPS? 5
- 6. Definitions Examples 6 CLOUD NATIVE APPLICATIONS • Cloud Native ▸ An approach to building and running applications that take advantages of the cloud computing model. • 12 Factor App
- 7. CLOUD NATIVE APPS LITTLE DIRTY SECRET 7
- 9. 9 • In July 2010, Rackspace Hosting and NASA jointly launched an open-source cloud-software initiative known as OpenStack. The OpenStack project intended to help organizations offer cloud-computing services running on standard hardware. The community's first official release, code-named Austin, appeared three months later on October 21, 2010, with plans to release regular updates of the software every few months. The early code came from NASA's Nebula platform as well as from Rackspace’s Cloud Files Platform. • As of today it’s managed by the OpenStack Foundation, a non-profit corporate entity established in September 2012 to promote OpenStack software and it’s community. More than 500 companies have joined the project. BRIEF OPENSTACK HISTORY
- 10. OpenStack is Built on top of Multiple Open Source Projects
- 11. 11 OPENSTACK PROJECTS • Core Services: ▸ NOVA – Compute ▸ NEUTRON – Networking ▸ SWIFT – Object Storage ▸ CINDER – Block Storage ▸ KEYSTONE – Identity ▸ GLANCE – Imaging Service •Optional Services: ▸Horizon – Dashboard ▸Ceilometer – Telemetry ▸Heat – Orchestration ▸Trove – Database ▸Sahara – Elastic Map Reduce ▸Ironic – Bare-Metal Provisioning ▸Zaqar – Messaging Service ▸Manila – Shared FS ▸Designate – DNS Service ▸Barbican – Key Management ▸Magnum – Containers ▸Murano – App Catalog ▸Congress - Governance Core and Optional Services
- 12. IMAGE PLACEHOLDER 1920 X1080 12 WHAT’S THE BIG DEAL WITH CONTAINERS?
- 13. CONTAINERS SIMPLIFY IT • All required runtime components packaged together into a “container” • Eliminates the need for hypervisor & guest OS • Increases portability across environments • Reduces resource consumption by applications • Provision applications nearly instantly
- 14. BENEFITS TO ENTERPRISE IT INCREASE DEVELOPER PRODUCTIVITY INCREASE TOPLINE REVENUE REDUCE DATA CENTER COSTS
- 15. “GETTING” CONTAINERS IS ONLY HALF THE CHALLENGE ORGANIZATIONS STILL NEED TO MANAGE THEM, JUST AS THEY WOULD MANAGE VMS
- 16. EXTERNAL RESEARCH VALIDATES PAIN POINTS Container Scale and Management Top Container Challenges Source; https://www.cloudfoundry.org/wp-content/uploads/2016/06/Cloud-Foundry-2016-Container-Report.pdf n=374 82% of container users surveyed agreed getting to scale can be a challenge 84% of container users surveyed agreed that managing without a Provider would be a challenge.
- 17. MULTIPLE OPTIONS ARE AVAILABLE Kubernetes Docker Swarm Apache Mesos
- 18. Web Search Interest KUBERNETES IS THE CLEAR LEADER Source: Apprenda, Containers Orchestration Comparison Guide (PDF) • Generates more web search interest than Swarm, Mesos and Cloud Foundry combined • One of the top Github projects • More software vendors incorporate Kubernetes than any other COE • More professionals list Kubernetes on their LinkedIn profiles than any other comparable solution
- 19. WHY KUBERNETES? • Kubernetes is the market choice for container orchestration • No lock-in with Kubernetes • Best-in-class application lifecycle management § Blue/green deployments § Zero downtime application upgrades § A/B deployments and more • Google and Redhat, and others are focused on standards such as OCI, CNF (cloud native foundation) • Kubernetes manages things such as: ‣ Rolling upgrades ‣ Zero Downtime deployment ‣ Large scale management of complex workloads ‣ Highly available and fault tolerant by default
- 20. GETTING STARTED
- 21. WHY RUN KUBERNETES ON OPENSTACK? 21
- 23. INSTALLATION • Manual • Orchestration • Magnum
- 24. The Hard way MANUAL INSTALLATION 24 • Pros ‣ Optimized for learning ‣ Understand how things work • Cons ‣ Manual ‣ Not meant for production ‣ Hard to maintain
- 25. Pros Cons via Ansible https://github.com/kubernetes/contrib/tree/master/ansible 25 ORCHESTRATION • Automated • Easy to install • Easy to Modify • Common Configuration Management • Limited by what’s available
- 26. PROS CONS 26 MAGNUM • AUTOMATIC SETUP OF K8’S CLUSTERS • YOU CAN EASILY GROW OR SHRINK THE CLOUD • EASY TO TEST AND PLAY WITH KUBERNETES • OPENSTACK SPECIFIC
- 29. KUBERNETES HISTORY • Borg, Omega and the Origin of Kubernetes • The name Kubernetes originates from Greek, meaning "helmsman" or "pilot", and is the root of "governor" and "cybernetic". • K8s is an abbreviation derived by replacing the 8 letters "ubernete" with 8.
- 30. WHAT IS KUBERNETES? • Kubernetes is an open-source platform for automating deployment, scaling, and operations of application containers across clusters of hosts, providing container-centric infrastructure. • portable: public, private, hybrid, multi- cloud • extensible: modular, pluggable, hookable, compassable • self-healing: auto-placement, auto- restart, auto- replication, auto-scaling
- 31. ARCHITECTURE 31 Registry Kubernetes Master Node 1 Node 2 Node 3 Node 4 API UI CLI
- 32. MASTER COMPONENTS 32 API UI CLI etcd API Server Scheduler Controller
- 33. NODE COMPONENTS 33 Kubernetes Master Docker kubelet Daemon sets Kube-proxy fluentd Pod Pod PodAddons Pod Pod Pod Pod Pod Pod UIDNS Node
- 35. PODS • Group of one or more containers that are always co-located, co-scheduled, and run in a shared context • Containers in the same pod have the same hostname • Each pod is isolated by ‣ Process ID (PID) namespace ‣ Network namespace ‣ Interprocess Communication (IPC) namespace ‣ Unix Time Sharing (UTS) namespace • Alternative to a VM with multiple processes
- 36. LABELS & SELECTORS • Key/value pairs associated with Kubernetes objects • Used to organize and select subsets of objects • Attached to objects at creation time but modified at any time. • Labels are the essential glue to associate one API object with other ‣ Replication Controller -> Pods ‣ Service -> Pods ‣ Pods -> Nodes
- 37. REPLICATION CONTROLLERS • Ensures that a speci ed number of pod replicas are running at any one time. • allows for easy scaling of replicated systems and handles re- creation of a pod when the machine it is on reboots or otherwise fails
- 39. DAEMON SETS • This is a way to run a pod on every node
- 40. JOBS • Run to complete as opposed to run for ever • Built for batch jobs and big-data
- 41. CONFIG MAPS • Ment to handle app configuration • Manage congi via the kubernetes API • Late binding • Live-udated • Available as env vars
- 42. SECRETS • grant a pod access to a secured something • Don’t put secrets on your containers image
- 43. QUICK COMMAND LIST • Cluster Information • List nodes • List pods • List services • List deployments
- 45. kubectl get nodes | kubectl get no LIST NODES 45
- 46. kubectl get pods | kubectl get po LISTS PODS 46
- 47. kubectl get services | kubectl get svc LIST SERVICES 47
- 48. kubectl get deployments | kubectl get dep LIST DEPLOYMENTS 48
- 53. Distributed Container Patterns LEADER ELECTION 53 Application Reusable master election container Pod - 1 JSON API Pod - 2 Pod - N Consensus algorithm or store @brendandburns
- 54. Distributed Container Patterns WORK QUEUE 54 Work Queue Executor User Supplied worder JSON API Work Queue Executor User Supplied worder JSON API * * * Work Queue Coordinator @brendandburns
- 60. RACKSPACE OFFERS MANAGED KUBERNETES FOR ENTERPRISE IT • Application templates • Optimized for cost efficiency • Best-in-class compute • Kubernetes expertise from certified cloud specialists • Centralized logging and monitoring • Upgrades and patching • Isolated multi-tenant or single tenant • Security-hardened environments • Full turn-key solution with 1-click deployment • End-to-end tutorials and video training • Native access to Kubernetes/Docker ecosystems • Unified GUI and tooling • Delivered via OpenStack • Integrated networking • User management, identity, quotas and limits • Integrated storage Operating Expertise Ease of Use Management Technology Integration Rackspace Managed Kubernetes 60 Fully Managed Kubernetes: Secure and highly performant with an intuitive user experience BETA AVAILABLE NOW!
- 62. Copyright © 2016 Rackspace | Rackspace® Fanatical Support® and other Rackspace marks are either registered service marks or service marks of Rackspace US, Inc. in the United States and other countries. Features, benefits and pricing presented depend on system configuration and are subject to change without notice. Rackspace disclaims any representation, warranty or other legal commitment regarding its services except for those expressly stated in a Rackspace services agreement. All other trademarks, service marks, images, products and brands remain the sole property of their respective holders and do not imply endorsement or sponsorship. THANK YOU ONE FANATICAL PLACE | SAN ANTONIO, TX 78218 US SALES: 1-800-961-2888 | US SUPPORT: 1-800-961-4454 | WWW.RACKSPACE.COM
- 63. References • http://blog.kubernetes.io/2016/06/container-design-patterns.html • http://dl.acm.org/citation.cfm?id=3027059 • https://kubernetes.io/docs/home/