is_the_cloud_right.ipynb

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    "### Is the Cloud Right for Me?\n",
    "\n",
    "Now that you have an idea of what cloud computing is, the question that is most pertinent to researchers is whether or not you ***should*** move your work to the cloud. The following chart outlines some questions to ask:  \n",
    "\n",
    "<img src=\"./images/acceleratescience.svg\" width=500 align=\"center\"><br/> \n",
    "\n",
    "Many researchers move to the commercial cloud simply because their local compute resources (local HPC clusters, or departmental clusters) are insufficient to deal with the volume of data and type of computation. With the cloud, there is no wait time to obtain the computing resources you need. With sufficient funds, you may be able to obtain a near infinite number of CPUs, RAM and GPUs. \n",
    "\n",
    "```{note}\n",
    "Scalable computing is the ability to obtain more computers(horizontal scaling) and/or to obtain more powerful computers(vertical scaling)\n",
    "```\n",
    "\n",
    "Other factors that will play in your decision to move to the cloud include knowing where common large datasets are hosted. The core idea in working on the cloud involves a paradigm shift: researchers should no longer bring their data to the compute (i.e. downloading data) but should instead bring their compute to the data! If you think about it, why spend hours on end to download data and find a place to store it when you can work directly with the data? \n",
    "\n",
    "If your collaborators are already working in the cloud i.e. hosting data on the cloud or building cloud-based workflows, it would also make sense for you to bring your work to the cloud. Go here for more on Open Science and Collaboration. \n",
    "\n",
    "In the next chapter, we will discuss the million dollar question: \"But which cloud provider should I choose?!\""
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