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Why kubernetes matters

Platform9
Platform9

We are on the cusp of a new era of application development software: instead of bolting on operations as an after-thought to the software development process, Kubernetes promises to bring development and operations together by design.

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Kubernetes & Containers
A New Era for DevOps
Sirish Raghuram,
Co-founder, CEO
About Us
Lauren Delgado, VP Marketing
• Leads marketing and education at Platform9
• Open-source at Platform9, DataTorrent and HortonWorks
• Before: Developer marketing at Microsoft
Sirish Raghuram, Co-founder, CEO
• Vision of Open-source-as-a-Service
• Believes Kubernetes represents a fundamental breakthrough
• Before: early engineer at VMware
Context: Kubernetes & Containers
•Massive interest in Containers today
•Many good technology choices
•We’re focussing on Containers & Kubernetes
• Why is Kubernetes strategic?
• How do Containers & Kubernetes help DevOps?
#1: Write Once, Run Anywhere
(Any Cloud)
How does one build for hybrid?
#1: Write Once, Run Anywhere (Any Cloud)
#1: Write Once, Run Anywhere (Any Cloud)
•Applications and DevOps tooling “couple” to
infrastructure:
• Performance dependencies
• Network architecture, routing, load-balancing
• Cloud provider specific constructs
• AWS Auto-scaling or Cloud-formations
• Storage services
• EBS, RDS

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Why kubernetes matters

  • 1. Kubernetes & Containers A New Era for DevOps Sirish Raghuram, Co-founder, CEO
  • 2. About Us Lauren Delgado, VP Marketing • Leads marketing and education at Platform9 • Open-source at Platform9, DataTorrent and HortonWorks • Before: Developer marketing at Microsoft Sirish Raghuram, Co-founder, CEO • Vision of Open-source-as-a-Service • Believes Kubernetes represents a fundamental breakthrough • Before: early engineer at VMware
  • 3. Context: Kubernetes & Containers •Massive interest in Containers today •Many good technology choices •We’re focussing on Containers & Kubernetes • Why is Kubernetes strategic? • How do Containers & Kubernetes help DevOps?
  • 4. #1: Write Once, Run Anywhere (Any Cloud)
  • 5. How does one build for hybrid? #1: Write Once, Run Anywhere (Any Cloud)
  • 6. #1: Write Once, Run Anywhere (Any Cloud) •Applications and DevOps tooling “couple” to infrastructure: • Performance dependencies • Network architecture, routing, load-balancing • Cloud provider specific constructs • AWS Auto-scaling or Cloud-formations • Storage services • EBS, RDS
  • 7. #1: Write Once, Run Anywhere (Any Cloud) •Infrastructure coupling is a long term competitive disadvantage • Economic reasons • Strategic. Examples: • On-premises companies going to SaaS • SaaS companies needing to sell on-premises • Hosting in a specific geo/region/MSP
  • 8. #1: Write Once, Run Anywhere (Any Cloud) •Kubernetes eliminates infrastructure lock-in • Uses containers • Run well everywhere • Provides management capabilities for containers • Infrastructure-agnostic • Application independent • Supports most modern DevOps scenarios
  • 9. #1: Write Once, Run Anywhere (Any Cloud) Kubernetes Clusters Nodes + Networking Resource Pools Cloud Providers Bare OS Bare metal Bare OS Applications
  • 10. #2: Modular App Design w/ Containers
  • 11. #2: Modular App Design w/ Containers •Monolithic applications make everything worse • Larger teams slow things down • Spaghetti dependencies • Lack of ownership for shared components • Path complexity to testing • Slower builds
  • 12. #2: Modular App Design w/ Containers •OOP vs procedural languages: much more modular • Notion of “class”: public, private (contracts) • Separation of concerns • Extensibility and reusability • More modular code
  • 13. #2: Modular App Design w/ Containers •Does the Container image boundary feel similar to the class boundary? • Yes, but… • My app requires many different collaborating processes • We need a system - a harness - that enables modular apps using Containers
  • 14. #2: Modular App Design w/ Containers •How could we use a collection of Containers? • Let’s assume an App can be broken into n distinct “Services” • Each Service may need a collection of Containers to get work done
  • 15. #2: Modular App Design w/ Containers •Kubernetes makes it easy to leverage Containers to modularize Apps • Apps —> Service* An application is composed of many Services • Service —> Pod (label)* A Service exposes some functionality and is supported by a collection of workers called Pods • Pod —> Container* A Pod is a co-located set of Containers, sharing compute, storage and network resources
  • 16. #2: Modular App Design w/ Containers
  • 17. #2: Modular App Design w/ Containers •Modularity can grow over time • Services can represent Kubernetes native or external functionality • Pods can evolve to be modular • Sidecar containers Extend a main container. E.g. event publishers • Ambassador containers Proxy to external systems. E.g. data loaders • Adapter containers Enable data normalization. E.g. schema mapping
  • 18. #2: Modular App Design w/ Containers •Modularity can grow over time • Start with monolithic applications • End up with micro-services • Kubernetes helps modularize, at every stage
  • 20. #3: Fault-tolerant by Design •Design for failure takes a lot of integration • Infrastructure provisioning and re-provisioning • Configuring networking and load balancers • Redundancy (scale-out) • Lifecycle management • Software update?
  • 21. #3: Fault-tolerant by Design •Kubernetes native Services are automatically fault- tolerant • Accessed via “virtual-IP” and ports • Visible inside cluster or publicly • Automatically replicated onto many ephemeral workers (Pods) • Automatically load-balanced, out-of-the-box • Kubernetes built-in or cloud-provider provided • Discoverable via DNS
  • 22. #3: Fault-tolerant by Design •Kubernetes drives current state towards desired state • Desired state is what is declared • e.g. # replicas=3 • Observed state may differ over time • e.g. a replica became unreachable • Kubernetes will find the diff and converge • Fault tolerance therefore based on desired state
  • 23. #3: Fault-tolerant by Design replicas = 2
  • 24. #3: Fault-tolerant by Design replicas = 3
  • 25. #4: Deployment Control, not just Infrastructure Management
  • 26. #4: Deployment, not Infrastructure •Software deployment is hard • Amplifies sins in design, testing, implementation, infrastructure, version management, schema upgrades • Operations teams have infrastructure management tools • Deployment requires using ad-hoc scripting and automation • Why is the hardest part of Ops being done ad-hoc?
  • 27. #4: Deployment, not Infrastructure •Kubernetes has native support for Deployment • Controllers are in focus, not infrastructure • Infrastructure is orchestrated behind the scenes • Deployment controller: • Deploys a scale-out Kubernetes Service • Answers queries for deployment status • Updates deployed Pods using new versions of Container images • Rolls back to a previous version • Pauses and resumes a deployment
  • 28. #4: Deployment, not Infrastructure •Deployments provide even more goodness • Horizontal auto-scaling Dynamically scale-out Services based on compute / memory usage, within limits • Rolling updates Sequence update of scale-out Services while meeting spare / worker downtime limits • Canary deployments Deploy a new version of software side by side with previous version, route traffic progressively
  • 29. #4: Deployment, not Infrastructure Rolling Update
  • 30. #4: Deployment, not Infrastructure Rolling Update
  • 31. #4: Deployment, not Infrastructure Rolling Update
  • 32. #4: Deployment, not Infrastructure Rolling Update
  • 33. #4: Deployment, not Infrastructure Rolling Update
  • 34. #4: Deployment, not Infrastructure Rolling Update
  • 35. #4: Deployment, not Infrastructure Rolling Update
  • 36. #5: Container Integrations for Production
  • 37. #5: Container Integrations for Production •Kubernetes provides many integrations to run Containers in production • Distributing secrets without environment variables or storing them in images • Resource QoS for Containers • Liveness and readiness probes • Termination message and pre-termination hook
  • 38. FAQ: Why Not PaaS? •Kubernetes preserves more user choice • Any application, framework or language • Any middleware • Choice of source-to-image workflow • Choice of logging, monitoring and alerting systems
  • 40. Kubernetes: New Era for DevOps •Kubernetes represents a breakthrough for DevOps • Integrate applications and operations by design • Write once, run anywhere • Modular applications w/ containers • Fault-tolerant by design • Control deployments, not just infrastructure • Integrate containers for production
  • 42. About Platform9 Coolest Cloud Startup of 2015 MIT CIO Sloan Finalist Top 10 Virtualization Startup • Founded in 2013 by early VMware engineers • Global traction since 2015 • Deliver open-source as SaaS, making cloud infrastructure easy • Managed OpenStack. Managed Kubernetes. In Production Globally
  • 43. Platform9 Managed Kubernetes • “SaaS Managed” SLA • Fully automated deployment • 24/7 pro-active health monitoring and alerting • Zero-touch upgrades • Enterprise Ready • SSO, RBAC, multi-tenancy and security/isolation • Out of box integration with any storage and networking infra • Multi-cloud • Run anywhere: Bare-metal, AWS, GCE, Azure • Quotas and isolation for tenants across clouds • Define once - deploy anywhere
  • 47. Get In Touch •Let us help you build your first Kubernetes Service • https://platform9.com/contact/ • Reference: “Kubernetes webinar” •Visit our blog • https://platform9.com/blog/ • Compare Kubernetes vs Amazon ECS, Docker Swarm and Mesos •Follow us on Twitter • @Platform9Sys • Watch for: • Kubernetes Comparison eBook • Why Kubernetes? whitepaper