An interesting announcement from PiCloud who is a cloud computing startup, but focused on python (as the name suggests). They basically have created a cloud library (or in R lingo – a package) that enables you to call cloud power sitting from the desktop interface itself. This announcement is for multiple IP addresses. Real parallel processing or just a quick trick in technical jargon- you decide!
- Prepare
- Run
- Monitor
s1 cores are comparable in performance to c1 cores with one extra trick up their sleeve: each job running in parallel will have a different IP.
Why is this important?
Using unique IPs is necessary to minimize the automated throttling most sites will impose when seeing fast, repeated access from a single IP.How do I use it?
If you’re already using our c1 cores, all you’ll need to do is set the_typekeyword.cloud.call(func, _type=’s1′)
How much?
$0.04/core/hourWhy don’t other cores have individual IPs?
For other core types, such as c2, multiple cores may be running on a single machine that is assigned only a single IP address. When using s1 cores, you’re guaranteed that each core sits on a different machine.
DECISION STATS 