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@dotcms HiltonMTG: 05061988
Auto-Scaling dotCMS 3.0 
Using auto-clustering to 
provision servers on-demand 
chris.mccracken@dotcms.com
What is Auto Scaling? 
• Auto Scaling is an environment-level service that 
adds or removes server instances in response to 
defined criteria 
• Auto Scaling dotCMS is possible due to 3.0 cluster 
auto-configuration 
• Auto Scaling solutions are unique & platform-specific 
Auto-Scaling dotCMS 3.0
Auto Scaling Decision Criteria 
Server failure 
Auto-Scaling dotCMS 3.0 
Time of day 
Server CPU load 
Request volume 
Spot pricing 
Expected traffic 
Custom metrics
Auto Scaling Benefits 
• Fault-tolerance 
• Cost optimization 
• Capacity management 
Auto-Scaling dotCMS 3.0
AS for fault-tolerance 
Auto-Scaling dotCMS 3.0
AS for cost optimization 
• Cloud platforms let you buy only the hours you need 
• Use smaller instances for granularity 
• Leverage different pricing models 
Auto-Scaling dotCMS 3.0
AS for Capacity 
• Respond to actual needs in real-time 
• No more guesswork or “rounding up” 
Auto-Scaling dotCMS 3.0
Auto Scaling Demo 
An example on Amazon EC2
AS Considerations 
(stateless servers) 
• dotCMS needs a starting point 
• Auto scaled servers are disposable 
• Auto scaled servers’ data is disposable 
• Every solution is custom 
Auto-Scaling dotCMS 3.0
dotCMS baseline 
• ElasticSearch index replicas 
• Server(s) to meet minimum load requirements 
Auto-Scaling dotCMS 3.0
Server deployment 
• “Golden” images 
• Server must bootstrap itself 
• Startup speed is key 
• Patching strategy 
Auto-Scaling dotCMS 3.0
Session management 
• Backend vs frontend sessions 
• Session managers 
Auto-Scaling dotCMS 3.0
Logging 
• Logs go away when server goes away 
• Log shipping 
• External logging caveats 
Auto-Scaling dotCMS 3.0
Scaling criteria 
• Know your metrics 
• Test your metrics 
• Trust your metrics (mostly) 
Auto-Scaling dotCMS 3.0
Auto-Scaling dotCMS 3.0 
Questions?

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The Good Cluster and Auto Scaling Made Simple

  • 2. Auto-Scaling dotCMS 3.0 Using auto-clustering to provision servers on-demand chris.mccracken@dotcms.com
  • 3. What is Auto Scaling? • Auto Scaling is an environment-level service that adds or removes server instances in response to defined criteria • Auto Scaling dotCMS is possible due to 3.0 cluster auto-configuration • Auto Scaling solutions are unique & platform-specific Auto-Scaling dotCMS 3.0
  • 4. Auto Scaling Decision Criteria Server failure Auto-Scaling dotCMS 3.0 Time of day Server CPU load Request volume Spot pricing Expected traffic Custom metrics
  • 5. Auto Scaling Benefits • Fault-tolerance • Cost optimization • Capacity management Auto-Scaling dotCMS 3.0
  • 6. AS for fault-tolerance Auto-Scaling dotCMS 3.0
  • 7. AS for cost optimization • Cloud platforms let you buy only the hours you need • Use smaller instances for granularity • Leverage different pricing models Auto-Scaling dotCMS 3.0
  • 8. AS for Capacity • Respond to actual needs in real-time • No more guesswork or “rounding up” Auto-Scaling dotCMS 3.0
  • 9. Auto Scaling Demo An example on Amazon EC2
  • 10. AS Considerations (stateless servers) • dotCMS needs a starting point • Auto scaled servers are disposable • Auto scaled servers’ data is disposable • Every solution is custom Auto-Scaling dotCMS 3.0
  • 11. dotCMS baseline • ElasticSearch index replicas • Server(s) to meet minimum load requirements Auto-Scaling dotCMS 3.0
  • 12. Server deployment • “Golden” images • Server must bootstrap itself • Startup speed is key • Patching strategy Auto-Scaling dotCMS 3.0
  • 13. Session management • Backend vs frontend sessions • Session managers Auto-Scaling dotCMS 3.0
  • 14. Logging • Logs go away when server goes away • Log shipping • External logging caveats Auto-Scaling dotCMS 3.0
  • 15. Scaling criteria • Know your metrics • Test your metrics • Trust your metrics (mostly) Auto-Scaling dotCMS 3.0