PiCloud + python

• job manager
• job create job
• reduce the thread acquire time, try lock/mutex times
• job queue, job schedule, job status. job new/delete
• watch dog
• performance monitor  
• scientific tools
• numpy(math array), h5py(python hash table), pandas(big data), scipy(science), scikits(machine learning)
• multi environments support
• ubuntu 11.04, 12.04 for user set 
• notebook support

• core, memory set
• how many cores set, and memory usage limitation
•  performance benchmark
• ex: PI  seep up 5 times for multi process assign to multi core by mapping table set
  
  

      num_jobs = 8
      tests_per_call = total_tests/num_jobs
  
      # argument list has 8 duplicate elements
      jids = cloud.map(monte_carlo, [tests_per_call]*num_jobs, _type='c2')
  
      # get list of all counts
      num_in_circle_list = cloud.result(jids)

• daily run(schedule run)
• web support
• Django

source