In this talk Leonid will share his experience of taking an AWS only deployment process and extending it to support both private and public clouds (Openstack and Rackspace). If you think that all clouds were born the same, think again! The road to a truly multi cloud provisioning isn't so simple. Leonid will provide some technical tips about what you should expect when you are getting outside of the AWS garden, as well as some practical technical examples of how you can overcome some common pitfalls. Speaker: Leonid Mirsky Leonid has more than 10 years experience in different IT operations roles. Currently, as an Independent consultant, he is helping small to medium sized companies to implement DevOps and to realize the potential power of cloud computing.

1. A Story of
Multi-cloud
Provisioning
@leonidlm

2. multi-cloud?
Disaster recovery
Why go

3. multi-cloud?
Best cloud for the job
Why go

4. Xplenty
Code free Hadoop

5. Xplenty
Cluster deployment architecture
1
2
New
Worker
Queue
Worker
Worker
3

6. Xplenty
Cluster deployment architecture
1
2
New
Worker
Queue
Worker
Worker
3

7. Amazon just works!
How about the others?

8. 1
Lack of network automation
Public DNS: ec2-54-224-106-95.compute-1.amazonaws.com
Public IP: 54.224.106.95
Private DNS: ip-10-31-133-57.ec2.internal
Private IP: 10.31.133.57

9. 1
Lack of network automation
Public DNS: ec2-54-224-106-95.compute-1.amazonaws.com
Public IP: 54.224.106.95
Private DNS: ip-10-31-133-57.ec2.internal
Private IP: 10.31.133.57

10. 1
Lack of network automation
Solutions
✓ Use public DNS service (route53)
a. Manage your own DNS

11. 2
Tools compatibility
Typical request for a new ec2 instance:
a.
b.
c.
d.
Instance type
image id
Security groups
user data (can be a script)
#!/bin/bash
apt-get -y update
apt-get -y upgrade
apt-get install puppet

12. 2
Tools compatibility
#!/bin/bash
apt-get -y update
apt-get -y upgrade
apt-get install puppet
Solutions
✓ Configure using SSH after instance
is ready

13. 3
Variable instance sizes
m1.xlarge
CPUs
Similar instance size on another
provider
4
8
Memory
15G
16G
Storage
840G
160G

14. How does it work in
Production?

15. 4
API behaviour nuances
cloud has its own
Weak spots!
Each

16. 5
Performance
Cloud
Amazon
HP
Rackspace
Region
Virginia
Oregon
Az1
Az2
Az3
Chicago
Dallas
Average
launch
time
1.5
2
2.5
3
2.5
8
7
Error
rate
1.12%
0.63%
3.30%
0.81%
2.33%
12.37%
9.16%
http://www.ravellosystems.com/blog/cloud-dashboard-part-1-vm-provisioning/

17. 5
Performance
Solutions
✓ Easy regions on/off switch
✓ Configure different retry times based
on cloud performance

18. Summary
a.
b.
c.
d.
Lack of network automation
Tools compatibility
Variable instance sizes
Providers performance &
behaviour differences

19. Plan for the lowest
common denominator

20. Thank you!
@leonidlm
leonidlm@gmail.com