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doc/source/chapter02_beginner-tutorial/research-workflow.rst

@@ -3,7 +3,7 @@ Final word on research workflow on cloud
 
 Congrats! You've finished all beginner tutorials. Now you've learned enough AWS stuff to perform most of simulation, data analysis, and data managment tasks. These tutorials could feel pretty intense if you are new to cloud computing (although I really tried to make them as user-friendly as possible). Don't worry, repeat these practices several times and you will get familiar with the research workflow on the cloud very quickly. There are also advanced tutorials, but they are just add-ons and are really not necessary for just getting science done.
 
-The major difference (in terms of research workflow) between local HPC clusters and cloud platforms is **data management**, and that's what new users might feel uncomfortable with. To get used to the cloud, the key is to use and love S3! On traditional local disks, any files you create will stay there overever (so I often end up leaving tons of random legacy files in my home directory). On the other hand, the pricing model of cloud storage (charge you by the exact amount of data) will force you to really think about what files should kept by transferring to S3, and what should be simply discarded (e.g. TBs of legacy data that are not used anymore).
+The major difference (in terms of research workflow) between local HPC clusters and cloud platforms is **data management**, and that's what new users might feel uncomfortable with. To get used to the cloud, the key is to use and love S3! On traditional local disks, any files you create will stay there forever (so I often end up leaving tons of random legacy files in my home directory). On the other hand, the pricing model of cloud storage (charge you by the exact amount of data) will force you to really think about what files should kept by transferring to S3, and what should be simply discarded (e.g. TBs of legacy data that are not used anymore).
 
 There are also ways to make cloud platforms :ref:`behave like traditional HPC clusters <hpc-overview-label>`, but they can often bring more restrictions than benefits. To fully ultilize the power and flexibility of cloud platforms, directly use native, basic services like EC2 and S3.