The document outlines a webinar series focused on migrating swarm applications to Kubernetes, featuring expert-led sessions on key concepts and practical guidance. It covers the architecture of swarm mode, comparisons to Kubernetes components, and provides resources for participants, including Google Cloud credits. The session aims to help attendees transition to Kubernetes with practical examples and insights into application deployment and management.

1. Migrating Swarm Applications
to Kubernetes
Janakiram MSV
Analyst | Advisor | Architect
Janakiram & Associates
Google Developer Expert
Joseph Jacks
Sr. Director
Apprenda
Founder, KubeCon

2. Announcing
The Kubernetes Webinar Series
● Monthly webinar focused on helping you get started with Kubernetes
● Delivered by the experts from the container ecosystem
● Each webinar introduces a concept to accelerate your learning
● No specific prerequisites
○ Basic understanding of Docker will help
● All attendees will get $100 Google Cloud Platform Credits
● Win free annual and monthly subscriptions of MAPT eBook library
● The recording of this webinar will be available at Kubernetes.live

3. Objectives
● Overview of Swarm-Mode
● Exploring the Reference Application Architecture
● Mapping Swarm Deployment to Kubernetes
● Scaling and Optimizing Application

4. Overview of Swarm Mode
● Swarm mode brings cluster management and orchestration to Docker
Engine
● Bundled with Docker Engine 1.12 or above - Based on Swarmkit
● Swarm mode is initialized in one of the nodes, which becomes the
manager
● Worker nodes join an existing Swarm controller
● Docker CLI is used for managing the cluster including adding and
removing nodes

5. Key Concepts of Swarm Mode
● Manager Node
○ Dispatches the submitted tasks to worker nodes
● Worker Node
○ Receive and execute tasks dispatched from manager nodes
● Service
○ Definition of tasks to execute on worker nodes
● Task
○ Carries a Docker container and the commands to run inside the container
● Load balancing
○ Manager node uses ingress load balancing to expose the services

6. Swarm Mode Architecture

7. Swarm Mode Architecture

8. Overview of Sample Deployment
● API Management service based on open source Kong
● PostgreSQL is used as the persistent backend
● Nginx is acting as the API proxy
● Node.js based Dashboard to manage APIs
● Each component is packaged as a Docker container
PostgreSQLKongDashboard

9. Demo
Deploying Microservices in Swarm Mode

10. Quick Recap - Kubernetes Architecture
Deployment
Master
kube-p
roxyDocker kubelet
Supervisord
fluentd
Web Pod
Node
DB Pod
Deployment
Web
DB

11. Mapping Swarm Concepts to Kubernetes
● Manager Node
● Worker Node
● Service
● Task
● Replicas
● DNS-based Service Discovery
● Ingress
● PublishedPort
● Volumes
● Overlay Network
Swarm Mode
● Master
● Node
● Deployment
● Pod
● Replica Set
● DNS-based Service Discovery
● Service
● Endpoint
● Persisted Volumes
● Flat Networking space
Kubernetes

12. Mapping Swarm Concepts to Kubernetes
Swarm Kubernetes
Controller Manager Master
Slave Worker Nodes
Workload Definition Service Deployment
Deployment Unit Task Pod
Scale-out Definition Replicas Replica Set
Service Discovery DNS DNS
Load Balancing Ingress Service
Port PublishedPort Endpoint
Storage Volumes Persistent Volumes / Claims
Network Overlay Flat Networking Space

13. Demo
Migrating the Application to Kubernetes

14. Thank You!
Send your Feedback / Questions / Comments
jani@janakiram.com