Your SlideShare is downloading. ×
0
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
Advanced Scaling with PaaS
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

Advanced Scaling with PaaS

438

Published on

View webinar recording here: http://www.activestate.com/webinars/advancedscalability …

View webinar recording here: http://www.activestate.com/webinars/advancedscalability

Didn't get enough of our original scaling webinar? Were you hoping for more advanced information about the various aspects of scaling?

We agree! Now that you understand basic scaling, we thought we'd take it up a notch and demonstrate some advanced scaling techniques with PaaS. Learn about the sophisticated ways in which you can scale and extract more power from your cloud!

In this webinar, John Wetherill and Ho Ming Li will uncover the real story behind auto-scaling and Stackato and demonstrate the different ways that users can manually and automatically scale. They will also cover:

- Use of Loggly to scale
- New Relic monitoring
- Load balancing
- Developer tools and techniques for predicting and measuring scaling effectiveness
- Architecture styles and coding practices that maximize cloud scaling efforts
- Scaling and auto-scaling on OpenStack

John and Ho Ming will discuss and demonstrate the various ways that scaling can work for you and your enterprise. Join us and learn how scalability is the key to making your infrastructure work for you and achieving the promise of the cloud.

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

No Downloads
Views
Total Views
438
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
10
Comments
0
Likes
2
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
  • NOTES: Bart will tell a story of how we got into this space Dan will provide a real-world service-provider perspective on HP ’s private cloud initiatives and vision
  • large enigneering teams pain: integration pain: security diversity using opensource: children ’ s hospital, largest anks healthcare, alzeimer ’ s association, clothing stores, auto manufacturers, online retilers, utilities graph databases
  • increased complexity
  • increased complexity
  • Transcript

    • 1. Advanced Scaling in theAdvanced Scaling in the Cloud with PaaSCloud with PaaS John Wetherill Ho Ming Li July 31, 2013
    • 2. Today’s Speakers • John Wetherill Developer Evangelist Ho Ming Li Cloud Engineer
    • 3. Topics Recap Automated app scaling New Relic Integration Performance Instrumentation Stress tools
    • 4. Recent Events
    • 5. scale from day one scale early and often always profile before optimize Practices
    • 6. Scaling with Stackato
    • 7. Last time: Scaling with PaaS resource limits/management load balancing instant app scaling auto-scaling clustering and role distribution performance monitoring log aggregation lxc containers
    • 8. Today: Advanced Scaling with PaaS automated app scaling New Relic integration performance instrumentation stress tools
    • 9. Instant App Scaling one-click spawn multiple instances rapid launch by copying existing instance adjust resource allocation too scriptable, can be automated can trigger “autoscaling” events
    • 10. Automating Scaling Cloud Controller sits behind REST api External apps call api in response to events or thresholds Client can be anything that talks HTTP
    • 11. Automated Scaling and New Relic
    • 12. Demo: ab and JMeter
    • 13. Log Aggregation collect all logs from all app instances forward to aggregation service no SPOF logs available via web ui, command line, and REST API log streams can be filtered and formatted can generate json logs
    • 14. Demo: Logging to Loggly
    • 15. Thank you!Thank you! Any questions?Any questions? John WetherillJohn Wetherill Ho Ming LiHo Ming Li ActiveStateActiveState

    ×