How to improve resiliency and performance of your cirtical business App with VMware PKS / NSX / Kubernetes. In this example we also demonstrate how to leverage vSphere Platform with Containers

1. Confidential │ ©2018 VMware, Inc.
Moving from VMs to Pods
#vSphere #storage #scale #PKS
Brice Dereims
Cloud Architect | VMware
February 2019

2. 2Confidential │ ©2018 VMware, Inc.
One of challenges when designing and operate application is the data
and scalability.
In this example, we will demonstrate how to leverage vSphere
capabilities to move App from VMs to Pods without copy data and
using k8s scalability.
This use case could be used to avoid copying large amount of data
mitigating the risk of corruption and accelerating “containerization”.

3. 3Confidential │ ©2018 VMware, Inc.
Big-Mountain Corp.
The Fictive Company
o Online electronic and spare parts vendor
o Double digit growth
o Competitor : Farnell, Conrad, Radiospare
A new project improving web app to serve more and more customers as
fast as possible and reach revenue target.

4. 4Confidential │ ©2018 VMware, Inc.
Back End - MariaDB
The problem to solve
Front End - NGINX
DATA VMDK
- Limited throughput
- Does not scale easily
- Hard to update
- Monolith components
- Not transportable
- We want to keep these data
- Importing this into pod could
be painful
- How to do that?

5. 5Confidential │ ©2018 VMware, Inc.
The solution
vSphere DATA VMDK
- Easy to move to
- Easy to scale / autoscale
- Easy to update
- Improved throughput
Reused from VM
Front End LB Back End LB
HatchwayProject

6. 6Confidential │ ©2018 VMware, Inc.

7. 7Confidential │ ©2018 VMware, Inc.
The App in VMs

8. 8Confidential │ ©2018 VMware, Inc.
MariaDB at VM Side

9. 9Confidential │ ©2018 VMware, Inc.
MariaDB at VM Side

10. 10Confidential │ ©2018 VMware, Inc.
The App in Pods

11. 11Confidential │ ©2018 VMware, Inc.
MariaDB at Pod Side

12. 12Confidential │ ©2018 VMware, Inc.
MariaDB at Pod Side

13. 13Confidential │ ©2018 VMware, Inc.
PKS on vSphere allow to reuse data
avoiding to copy large amount of data.
Speedups container transition and
leverage vSphere investments.