Your SlideShare is downloading. ×
Using Chef and AppFirst to Automate Scale-out/Scale-down of Web Applications – Mark White
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Using Chef and AppFirst to Automate Scale-out/Scale-down of Web Applications – Mark White

492

Published on

We will demonstrate how using Chef and AppFirst you can automate scaling out and down a multi-tiered web application. As Chef builds out the multi-tier stack, it will dynamically add the AppFirst …

We will demonstrate how using Chef and AppFirst you can automate scaling out and down a multi-tiered web application. As Chef builds out the multi-tier stack, it will dynamically add the AppFirst collectors to the servers it’s executing on. Once this is running we will drive load to our web application which triggers an AppFirst alert as utilization thresholds are met. Based upon receiving the alert Chef automatically deploys another web server with an AppFirst collector and adds it to the load balancer. Using AppFirst’s UI we’ll see that our web application is now handling the load without any problems.

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
492
On Slideshare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
16
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. 800.782.2181www.appfirst.comPamela@ AppFirst.com1
  • 2. 2
  • 3. 3
  • 4. 4
  • 5. 5 •  Simultaneous Monitoring of MultipleVirtualEcosystems •  Business Intelligence •  Development Enablement •  Operational Oversight •  Big Data Simplified •  Criteria to Produce Common Operating Picture
  • 6. 6 •  Monitoring •  Application Performance Management •  Log Management •  Business Intelligence Metrics •  Security •  Compliance
  • 7. 7Applications •  Web 2.0 Applications •  Enterprise Applications •  Distributed Applications •  Legacy Applications Application Dependencies •  Database Relationships •  Frontend to Backend •  Storage Devices Correlated Statistics •  System Resource Utilization •  Various BI metrics Response Times •  Network Response •  Application Response Security •  Info Sec •  Compliance
  • 8. 8Different Silos = DifferentViews •  DevOps: Rapid Development/Deployment •  Environments are changing faster than we,the Ops half, can keep up. •  It’s not enough to just be point solution anylonger. •  Take Operational Intelligence and make itActionable Intelligence
  • 9. 9Different Silos = DifferentViews
  • 10. 10 •  Provides a Common Operating Picture through Web UI •  Removal of silos for your Big Data •  Native Integration w/ JMX, Nagios, & StatsD •  Provides an agnostic, comprehensive set of data. •  Integration with Chef for Automated Scale Up/Downbased on foreseeable consequences of production issues.
  • 11. 11•  Alert based actionable intelligence. •  AppFirst will provision EC2 server withouthuman interaction •  AppFirst will terminate EC2 instance basedon drop off in usage levels •  Configurable via APIs
  • 12. 12
  • 13. 13
  • 14. 14
  • 15. 15
  • 16. 16
  • 17. 17
  • 18. 18
  • 19. 19
  • 20. 20** Patent Pending

×