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Empowering Admins by taking away root 
(Improving platform visibility in Horizon) 
OpenStack Summit Paris, 2014 
David Lapsley 
@devlaps, dlapsley@cisco.com 
November 4, 2014
OpenStack as a Service
Goals 
● Public cloud experience for customer users 
● Application focus for customer admins 
● Private cloud that “just works”
What we provide 
● Remote engineering and operations for 
customer OpenStack-powered private cloud 
● Delivered in a SaaS model 
● In any data center, on any hardware (that 
meets minimum specifications)
The Full Stack 
HA SERVICE ORCHESTRATION 
HOSTING 
NETWORK 
HARDWARE
How do Admins understand what’s going 
in their cloud?
Instrumenting the cloud
LiveStats
Historical Metrics
Service Health
Enhancing Horizon
Horizon Stack Extended
Enhancing Platform Visibility
Enhancing Platform Visibility
If this sounds interesting… 
http://jobs.metacloud.com 
We are hiring!
Thank You 
David Lapsley 
@devlaps, dlapsley@cisco.com
Empowering Admins by taking away root (Improving platform visibility in Horizon)

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Empowering Admins by taking away root (Improving platform visibility in Horizon)

Editor's Notes

  1. Intro Horizon in Action Overview of how Horizon works with other services in OpenStack Horizon architecture Horizon UI structure, features Interesting design patterns (work through an example) Pluggable settings Customization Advanced features How to contribute
  2. At metacloud we provide Openstack as a Service by creating and maintaining private openstack clouds on our customers premises.
  3. Public cloud experience Public cloud feel Self service Well documented and supported OpenStack and AWS APIs Instant provisioning of resources Application focus for administrators manage, govern, users groups and projects Full control of flavors, images and volumes Security policies and authentication Host aggregation settings Your users feel like they’re using a public cloud, and your administrators have complete control over users, projects, quotas, flavor sizes, virtual machine images, storage, network and more. Real time visibility gives you access to see what’s happening behind the scenes on your machines, while we deliver the OpenStack engineering and operations as a service.
  4. Our team becoms an extension of our customers’ team. We do all the engineering, set up, and ongoing operations for your OpenStack private cloud, so that our customers can focus on building and running your applications. After the initial delivery, we provide on going engineering and operations, upgrades, and patches, without our customers having to do anything. Metacloud OpenStack® is that platform, delivered in a SaaS model where we provide ongoing private cloud engineering and operations so our customers can focus on their applications. Full time 24x7 remote operations, monitoring and alerting from metacloud
  5. Build in HA of orchestration, controllers, API, and dashboard components
  6. In order to give our customers detailed view of the platform, we have built in livestats views..
  7. Controller, Hypervisor Remove port number…
  8. Controller, Hypervisor Remove port number…
  9. Controller, Hypervisor Remove port number…
  10. In order to give our customers detailed view of the platform, we have built in livestats views..
  11. Historical and real-time reports, charts, and graphs across the entire platform: Hosts Hypervisors Controllers Networks Storage Access to detailed raw usage data for internal showback/chargeback
  12. Instrument each node with livestastd Controllers and Hypervisors Pull information about processes, network, disk, cpu Updates every 5 seconds Using the same client-side rendering pattern as before Aggregating real-time data Greatly increases visibility into platform..
  13. Instrument each node with livestastd Controllers and Hypervisors Pull information about processes, network, disk, cpu Updates every 5 seconds Using the same client-side rendering pattern as before Aggregating real-time data Greatly increases visibility into platform..
  14. Instrument each node with livestastd Controllers and Hypervisors Pull information about processes, network, disk, cpu Updates every 5 seconds Using the same client-side rendering pattern as before Aggregating real-time data Greatly increases visibility into platform..
  15. Instrument each node with livestastd Controllers and Hypervisors Pull information about processes, network, disk, cpu Updates every 5 seconds Using the same client-side rendering pattern as before Aggregating real-time data Greatly increases visibility into platform..
  16. Instrument each node with livestastd Controllers and Hypervisors Pull information about processes, network, disk, cpu Updates every 5 seconds Using the same client-side rendering pattern as before Aggregating real-time data Greatly increases visibility into platform..
  17. Our customers also wanted to see more historical data. We instrumented all of our nodes and push data into Graphite Very high performance and flexiblie time series tool Evolution of RRD Tool Graphite provides data over RESTful API, so we just pull that data and use it to populate these charts.. Easy access for the user (simply click on controller or hypervisor row and chart will drop down) Data from 1 hour range to 1 year range.. If you’re seeing isusued. Slow response time on Use cases…
  18. Our customers also wanted to see more historical data. We instrumented all of our nodes and push data into Graphite Very high performance and flexiblie time series tool Evolution of RRD Tool Graphite provides data over RESTful API, so we just pull that data and use it to populate these charts.. Easy access for the user (simply click on controller or hypervisor row and chart will drop down) Data from 1 hour range to 1 year range.. If you’re seeing isusued. Slow response time on Use cases…
  19. Our customers also wanted to see more historical data. We instrumented all of our nodes and push data into Graphite Very high performance and flexiblie time series tool Evolution of RRD Tool Graphite provides data over RESTful API, so we just pull that data and use it to populate these charts.. Easy access for the user (simply click on controller or hypervisor row and chart will drop down) Data from 1 hour range to 1 year range.. If you’re seeing isusued. Slow response time on Use cases…
  20. Our customers also wanted to see more historical data. We instrumented all of our nodes and push data into Graphite Very high performance and flexiblie time series tool Evolution of RRD Tool Graphite provides data over RESTful API, so we just pull that data and use it to populate these charts.. Easy access for the user (simply click on controller or hypervisor row and chart will drop down) Data from 1 hour range to 1 year range.. If you’re seeing isusued. Slow response time on Use cases…