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Making Kubernetes Easier
Ricardo Fiel
Senior Cloud Solution Architect, Western Europe
rifiel @microsoft.com
Cost saving
without refactoring
your app
Lift and shift
to containers
Performance
Low latency
processing
Machine
learning
Portability
Build once,
run anywhere
IoT
Agility
Faster application
development
Microservices
Top scenarios for Kubernetes on Azure
* August, 2018 bi-annual CNCF survey
Microsoft drives community-led innovations for Kubernetes
68%
11K
How managed Azure Kubernetes Service works
• Automated upgrades, patches
• High reliability, availability
• Easy, secure cluster scaling
• Self-healing
• API server monitoring
• At no charge
API server
Controller
ManagerScheduler
etcd
Store
Cloud
Controller
Self-managed master node(s)
Customer VMs
App/
workload
definitionUser
Docker
Pods
Docker
Pods
Docker
Pods
Docker
Pods
Docker
Pods
Schedule pods over
private tunnel
Kubernetes
API endpoint
Azure managed control plane
Azure Dev Spaces
Team development on Kubernetes
Microservices: for faster app development
Capabilities
1. Use Azure Dev Spaces to iteratively
develop, test, and debug microservices
targeted for AKS clusters.
2. Azure DevOps has native integration with
Helm and helps simplifying continuous
integration/continuous delivery (CI/CD)
3. Virtual node—a Virtual Kubelet
implementation—allows fast scaling of
services for unpredictable traffic.
4. Azure Monitor provides a single pane of
glass for monitoring over app telemetry,
cluster-to-container level health analytics.
Source
code control
Inner loop
Azure
Container
Registry
Azure Pipeline/
DevOps Project
Auto-
build
Azure
Monitor
CI/CD
Test
Debug
Azure
DevSpaces
AKS dev
cluster
AKS production cluster
Pods
Container instances
Pods
https://github.com/Microsoft/SmartHotel360-AKS-DevSpaces-Demo
KEDA
Kubernetes-based Event Driven Autoscaling
AKS virtual nodes
VM
Pods
VM
Pods
VM
Pods
VM
Pods
Kubernetes
control pane
Azure Container Instances (ACI)
Pods
Virtual node
Application
Architect
Infrastructure
Architect
Deployment/
tasks
Elastically provision additional compute capacity in seconds
MLOps
DevOps for Machine Learning - https://github.com/Microsoft/MLOps
Best support for your enterprise need
Feedback on the roadmap? Tell us at https://aka.ms/aks/feedback
Kubernetes 101 Docs
aka.ms/LearnAKS
Best practices
aka.ms/aks/bestpractices
Hear from experts
aka.ms/k8s/lightboard
Case studies
aka.ms/aks/casestudy
Microservices architecture
aka.ms/aks/microservices
Try for free
aka.ms/aks/trial
© Copyright Microsoft Corporation. All rights reserved.
Ricardo Fiel
rifiel @microsoft.com

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Ricardo Fiel - Microsoft - OSL19

  • 1. Making Kubernetes Easier Ricardo Fiel Senior Cloud Solution Architect, Western Europe rifiel @microsoft.com
  • 2. Cost saving without refactoring your app Lift and shift to containers Performance Low latency processing Machine learning Portability Build once, run anywhere IoT Agility Faster application development Microservices Top scenarios for Kubernetes on Azure
  • 3. * August, 2018 bi-annual CNCF survey Microsoft drives community-led innovations for Kubernetes 68% 11K
  • 4. How managed Azure Kubernetes Service works • Automated upgrades, patches • High reliability, availability • Easy, secure cluster scaling • Self-healing • API server monitoring • At no charge API server Controller ManagerScheduler etcd Store Cloud Controller Self-managed master node(s) Customer VMs App/ workload definitionUser Docker Pods Docker Pods Docker Pods Docker Pods Docker Pods Schedule pods over private tunnel Kubernetes API endpoint Azure managed control plane
  • 5. Azure Dev Spaces Team development on Kubernetes
  • 6. Microservices: for faster app development Capabilities 1. Use Azure Dev Spaces to iteratively develop, test, and debug microservices targeted for AKS clusters. 2. Azure DevOps has native integration with Helm and helps simplifying continuous integration/continuous delivery (CI/CD) 3. Virtual node—a Virtual Kubelet implementation—allows fast scaling of services for unpredictable traffic. 4. Azure Monitor provides a single pane of glass for monitoring over app telemetry, cluster-to-container level health analytics. Source code control Inner loop Azure Container Registry Azure Pipeline/ DevOps Project Auto- build Azure Monitor CI/CD Test Debug Azure DevSpaces AKS dev cluster AKS production cluster Pods Container instances Pods https://github.com/Microsoft/SmartHotel360-AKS-DevSpaces-Demo
  • 8. AKS virtual nodes VM Pods VM Pods VM Pods VM Pods Kubernetes control pane Azure Container Instances (ACI) Pods Virtual node Application Architect Infrastructure Architect Deployment/ tasks Elastically provision additional compute capacity in seconds
  • 9. MLOps DevOps for Machine Learning - https://github.com/Microsoft/MLOps
  • 10. Best support for your enterprise need Feedback on the roadmap? Tell us at https://aka.ms/aks/feedback Kubernetes 101 Docs aka.ms/LearnAKS Best practices aka.ms/aks/bestpractices Hear from experts aka.ms/k8s/lightboard Case studies aka.ms/aks/casestudy Microservices architecture aka.ms/aks/microservices Try for free aka.ms/aks/trial
  • 11. © Copyright Microsoft Corporation. All rights reserved. Ricardo Fiel rifiel @microsoft.com