Cloud Servers is simply the slickest virtual private server (VPS) offering I’ve ever seen, offering a much nicer out-of-the-box experience than its main competitor, Amazon EC2.
Obligatory disclaimerIf you think anything I write here represents the opinions of anybody but myself, you need more help than I can give you. The article, Visibility in the cloud, provides a general discussion of how to monitor cloud infrastructure. There are a number of APIs and tools available for managing large cloud server deployments in the Rackspace cloud.
By default, Rackspace creates Linux cloud servers with a restrictive firewall configuration.
An advantage of using the sFlow standard for server monitoring is that it provides a multi-vendor solution. In addition, the top servers page, shown below, provides a real-time view comparing the performance of the busiest servers in the cluster.
In addition to monitoring server and network performance, sFlow can also be used to monitor performance of the scale-out applications that are typically deployed in the cloud, including: web farms, memcached and membase clusters. The sFlow push model is much more efficient than typical monitoring architectures that require the management system to periodically poll servers for statistics.


Finally, sFlow provides the detailed, real-time, visibility into network, server and application performance needed to manage performance and control costs.
Cluster performance metrics describes how to use sFlow-RT to calculate metrics and post them to Graphite . The sflowtool command line utility is used to convert standard sFlow records into a variety of different formats.
The Graphite realtime charting software provides a flexible way to store and plot time series data.
And you make the choices through the slick, easy-to-understand admin interface shown above, so there’s no need to plow through an arcane API or hunt down third-party tools just to spin up an instance. This article uses the Rackspace cloudservers™ hosting service to provide a concrete example of implementing sFlow monitoring in a public cloud. The private network is intended for inter-server communication and there are no usage charges. The firewall configurations were modified (changes shown in red) to implement packet sampling and allow sFlow datagrams to be received from the private network interface (eth1).
Windows and Linux servers export standard metrics that link network and system performance and allow a wide variety of analysis applications to be used.


With sFlow, data is continuously sent from the cloud servers to the sFlow analyzer, providing a real-time view of performance across the cloud. Polling breaks down in highly dynamic cloud environments where servers can appear and disappear. With sFlow, cloud servers are automatically discovered and continuously monitored as soon as they are created.
It's best to compile sflowtool from sources since the older pre-compiled version are missing decodes for newer sFlow structures. The sFlow messages act as a server heartbeat, providing rapid notification when a server is deleted and stops sending sFlow.
I wish I could help you work through your delusional belief that I'm speaking for anyone else but myself.




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