As part of our DevOps Day 2019 Series, we gathered AWS and DevOps experts to educate the group about the power and challenges of working with Kubernetes. Contents: • Containers: A short story • Quick Kubernetes • Challenges faced • How Kubernetes helps By: Rahul Sharma | DevOps Engineer @ SourceFuse

1. Scaling on Kubernetes
PREPARED
BY:
Rahul Sharma | DevOps
Engineer
rahul.sharma@sourcefuse.com

2. </ kubectl config set-context >
● Containers: A short story
● Quick Kubernetes
● Challenges we faced
● How kubernetes helped us
● The End

3. </ The Container Story >
Worked great. Everyone was happy!

4. </ The End >

5. Kubernetes in ~ 5 mins ?

6. </ Kubernetes >
● Kubernetes is pronounced /koo-
ber-nay'-tace/ which means
"sailing master"
● It was developed at Google.
● It is the third Iteration of
container management.
Omega
Borg

7. </ Cat vs Cattle >

8. </ Kubernetes architecture >

9. ● A pod is a collection
of containers
sharing a network
and mount
namespace.
● It is the basic unit of
deployment in
Kubernetes.
● All containers in a
pod are scheduled
on the same node.
</ Kubernetes pods >

10. < / Kubernetes on AWS: EKS >

11. </ Problem 01: Cost >
● Too many EC2 machines were required in running
clients projects
● Analysis showed that we were not able to utilize
resources properly
● Possible Application can be shifted to one EKS
cluster
● EKS Cluster running spot instances under the hood
● We are still in transition phase

12. </ Problem 02: Jenkins scalability issue >
● Jenkins was on initially an
EC2 machine with few
slaves
● Idle machine resources
● Failed to scale enough
when resources were
required.

13. </ Jenkins Met Kubernetes >

14. </ Problem 03: Jmeter Scalability >
● Had a Jmeter installed on Big machine
● Not scalable solution
● One tester could test one application at a time
● Had to a pay huge cost to third party services

15. </ Jmeter as a Service >

16. Thanks for Listening

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