Improvement-wise for CloudDat, I think some days there is some latency. The scaling must be fast enough, but sometimes it avoids delays. That is one challenge we had. Sometimes the server might be down and there would be some downtime. That is one thing which we had a challenge with. When you use any policies, particular policies in that features, there would be some predictive analytics to improve that efficiency. It's more of having to always see what are the new features they have added and get advanced to that. That's one of the challenges we faced. In a real-time, one more thing is our project handles HIPAA, so it is always used by many users. Their scaling is also one of the features which we had a challenge with, actually. Regarding needed improvements for CloudDat, documentation-wise, from cloud, there are certain features where you can directly download, but that would not help you actually. You have to always be updated to cloud features. There are certain versions every time it gets updated and you have to always get updated to those new features. Documentation matters from previous to new features, all that. In real-time, I maintain a documentation which ensures every time what was in past and what is present and what we can do more in the coming days so that it can be more clear so that we have anything handled in a performance way. It should be documented and it is already documented. An improvement needed for CloudDat that I haven't mentioned yet is that it should secure more cloud dashboards to monitor patient vitals in real-time. As of now in IT, since I'm into healthcare, it generally helps with leaking risk of any particular patient's information, but in the dashboard, you will come to know everything. That's where I think it should hide. That's one feature I see which needs to be changed.
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Improvement-wise for CloudDat, I think some days there is some latency. The scaling must be fast enough, but sometimes it avoids delays. That is one challenge we had. Sometimes the server might be down and there would be some downtime. That is one thing which we had a challenge with. When you use any policies, particular policies in that features, there would be some predictive analytics to improve that efficiency. It's more of having to always see what are the new features they have added and get advanced to that. That's one of the challenges we faced. In a real-time, one more thing is our project handles HIPAA, so it is always used by many users. Their scaling is also one of the features which we had a challenge with, actually. Regarding needed improvements for CloudDat, documentation-wise, from cloud, there are certain features where you can directly download, but that would not help you actually. You have to always be updated to cloud features. There are certain versions every time it gets updated and you have to always get updated to those new features. Documentation matters from previous to new features, all that. In real-time, I maintain a documentation which ensures every time what was in past and what is present and what we can do more in the coming days so that it can be more clear so that we have anything handled in a performance way. It should be documented and it is already documented. An improvement needed for CloudDat that I haven't mentioned yet is that it should secure more cloud dashboards to monitor patient vitals in real-time. As of now in IT, since I'm into healthcare, it generally helps with leaking risk of any particular patient's information, but in the dashboard, you will come to know everything. That's where I think it should hide. That's one feature I see which needs to be changed.