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Scaling Drupal on
Amazon Web Services
Tristan Roddis
DrupalCamp Brighton, January 2015
What we created: www.qdl.qa
2
3
4
5
โ€ข Several hundred thousand pages
โ€ข Tens of terabytes of data
โ€ข Requirement for high throughput
โ€ข Requirement for high resilience
6
What is Drupal?
7
Letโ€™s scale it!
8
Letโ€™s not scale it like this!
9
Centralised database
10
Centralised filesystem
11
Avoid single point of failure
12
AWS TLAs
โ€ข EC2 โ€“ Elastic Compute Cloud = virtual servers
โ€ข RDS โ€“ Relational Database Service = database
โ€ข ELB โ€“ Elastic Load Balancer = distribute requests
13
Thereforeโ€ฆ
14
RDS has easy redundancy
15
So now we have
16
Clustered filesystem: GlusterFS
17
GlusterFS components
โ€ข EBS โ€“ Elastic Block Storage
= file storage up to 1Tb
โ€ข LVM โ€“ Logical Volume Manager
= grow and shrink volumes
โ€ข Gluster has storage โ€˜bricksโ€™
โ€ข Cluster appears as single mount point
(NFS, Gluster protocol etc.)
18
Distribute servers
โ€ข Amazon has different Regions and
Availability Zones
19
Use different Availability Zones
20
I liedโ€ฆ
21
Adding Solr and IIPImageโ€ฆ
22
Additional security
โ€ข VPC โ€“ Virtual Private Cloud = can create your
own network architecture
โ€ข Security Groups = firewall rules
โ€ข IAM = Identity and Access Management =
restrict AWS roles
23
Final setup
24
Woah โ€“ thatโ€™s complicated
25
Server provisioning
โ€ข Automate everything!
โ€ข Use Ansible (or Chef, Puppet, etc.)
26
โ€œIf you have to SSH into your servers,
then your automation has failed.โ€
โ€” Rich Adams
27
Pets vs cattle
28
โ€œWhen one of them gets sick, you shoot
'em in the head and replace 'em with a
new one.โ€
โ€”Randy Bias, CEO of Cloudscaling
Deployment I: Drupal tools
โ€ข Drush
โ€ข Drush master
โ€ข Features
โ€ข Strongarm
29
Deployment II
โ€ข Use Fabric (or Ansible, Capistrano, etc.)
โ€ข @runs_once decorator for e.g. drush commands.
30
Load Test
โ€ข Jmeter
โ€ข Blitz.io or similar
31
Tune performance
โ€ข Tools: Apache Benchmark (ab), Yslow, Google
PageSpeed
โ€ข xhprof โ€“ remove bottlenecks
โ€ข Fix warnings and notices
โ€ข Disable database logging
โ€ข OpCode cache (Zend Optimizer, APC)
โ€ข Minify CSS/JS
โ€ข Lazy Loading via AJAX
32
33
Add caching
โ€ข Varnish
โ€ข Redis/memcached for cache tables (can use
Amazon Elasticache)
โ€ข CDN (e.g. Amazon Cloudfront)
โ€ข Re-run load tests
34
[auto]scaling
โ€ข AMIs = Amazon Machine Image
โ€ข Autoscaling policies
โ€ข โ€œpets versus cattleโ€ again
โ€ข Problem: servers must have latest Drupal code
โ€ข Conflict with Fabric 'pushโ€˜ technique
โ€ข Interim solution: create an AMI after
each deployment
35
Backup
โ€ข AMIs - Amazon Machine Image = snapshot
server images
โ€ข ELB snapshots
โ€ข S3 โ€“ Simple Storage Service = REST storage
โ€ข Glacier = long-term storage
โ€ข We used:
โ€“ Snapshots with RDS
โ€“ S3 with versioning, plus Glacier for Drupal
assets and image assets
36
Monitoring I: Cloudwatch alerts
37
Monitoring II: log analysis
โ€ข SumoLogic to aggregate logs (or Loggly,
Papertrail, etc.)
38
Monitoring III: notifications
โ€ข OpsGenie (or PagerDuty or similar)
39
Gotchas
โ€ข GlusterFS for PHP files โ€“ donโ€™t!
โ€ข Custom Drupal cache โ€“ careful of
uncontrolled growth!
40
Tips
โ€ข Use โ€œtermination protectionโ€
โ€ข Enable ELB logging
โ€ข โ€œMaintenance 200โ€ module
โ€ข Create a โ€œdown for maintenanceโ€ server
41
Conclusion
โ€ข 21 instances
โ€ข 6 load balancers
โ€ข 67 ELB volumes
โ€ข Lot of work to set up, but quick to alter
โ€ข Easily coped with launch traffic:
โ€“ 21k sessions/day
โ€“ peak of 350 concurrent users
42
Further Reading
โ€ข Justin Slattery, "Multiple Region Autoscaling
Drupal in Amazon Web Services"
http://dev.mlsdigital.net/posts/Cloud-Native-
Drupal/
โ€ข Rich Adams, "AWS Tips I Wish I'd Known Before
I Started" https://wblinks.com/notes/aws-tips-i-
wish-id-known-before-i-started/
โ€ข Laura Hamilton, "Are your servers pets or
cattle?" http://www.lauradhamilton.com/servers-
pets-versus-cattle
43
www.cogapp.com/careers
Questions?
โ€ข tristanr@cogapp.com
45

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Scaling drupal on amazon web services dr