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Google, Cloud storage, Cloud computing #GCP Local and Cloud Storage | Ekascloud | English

Today we are going to talk about the cloud storage um. So we will try to understand like what what is cloud storage and what kind of data we keep on in the cloud? Storage and and well try to compare the local storage versus cloud storage and look for the advantage and disadvantage of both. So so the first thing: what is cloud storage, so its basically a storage as a service, so the cloud provider will provide like a storage like you can buy one terabyte, whatever you can buy them in bulk and you can use them later on your vm. When you configure them, you can just create the drive from your uh storage. You have bought from the cloud provider so its basically a service model which, in which data is maintained, managed and backed up remotely and made available to you over the network. So they are like remotely available somewhere. So you on the cloud storage you buy them in, as i said in buck and then uh. Basically, you can use them in your vm. So we showed that example uh yesterday where we were creating the vsd so its a similar kind of thing like we buy. For example, we buy like a one terabyte of hard drive and then on that hard drive we create multiple vsd file of like 20 gigabyte. Each or 30 gigabyte each and then those vst file can be used on the several other machines, so its a very similar concept, no different, but the only thing is on the local: it is available locally and on the cloud it is a available on the network.

So before we understand the storage, we need to understand what kind of data we store on the hard drives, so they are mostly classified as either our data cool data and the cool data so its basically, this this particular terminology is based on the usage. For example, hot data, which is basically im accessing on a daily basis, for example my emails or like the current email or the document im working on or anything like any project im working on or on the some design um. Whatever im um accessing, frequently like for my software, some software im like a mail software or anything like that, thats like its just on a daily basis uh, so we classify them as like. A hot data. Cool data is some document yeah after the project is finished. So youre only calling using them for reference or once in a month or something you go there access it. You create some report and for that year, particular um youre accessing that report, sort of like on a monthly basis or some so then thats classified as a cool data, so the whole data basically constitutes only very very small chunk, including the cool data. So, as mentioned um, its basically one to five percent is the whole data and five to ten percent uh. Fifteen percent is like a sort of golden um in most of the even more than 50 percent organization that basically, the odd data is merely one percent, and cool data is merely three or four percent and the rest of the 95 percent of data cold data, so Which is basically some data theres a lot of data we access like once in a year.

For example, you have some application installed on your pc, which you may be accessing once in the blue moon, i cant say an application, but there are lots of application like which you we install and never use it, and sometimes we think like. Oh, i need to basically do something: maybe im bored, i have got a paint application, but i dont do painting often, but once im poor like another thing to do is open the application and i did some painting and then after that i forgot it for a Year um, so there are loads of uh like another example could be the report data once the report. Data um here and report is finished. You may not be accessing that report frequently, maybe by the next year end of comparison. We may access that report for just to compare a two year. End data – and there are many more examples, but this kind of data constituted almost like 85 to 95 percent of organization data. So now we basically know like uh, well use these three terminology uh when comparing both local storage and the cloud storage, a hot cool and cold. So lets look at the local storage and the cloud storage um briefly and see what advantage we can get from the cloud storage over the local storage. Well, im, not going to say that local storage has what is bad or anything uh based on the design architecture. In few places, local storage can give you more potential than the cloud story.

You know in some sort of like a security or anything but im, not um ive not brought. Those topic in in this discussion because were just comparing the storage and my uh focus, is only like what exactly uh a local storage uh refers to and what the cloud storage refers to and briefly comparing them together. Just to understand like what advantage is and how cloud storage can help us to bring down so many hurdles we see in the local storage, so the one of the thing is like which everyone basically consider the cost Music. All projects are cost driven. So this plays a major role for the local storage. You have to pay upfront cost, so you have to basically do the analysis and see you how much storage you will need for any year or two years and based on that, you buy that kind of a storage to support you for three two year or three Years and you have to pay all the money up front – and this is uh majorly done on the you know – basis of uh by looking at the data and guessing uh, how much storage uh the one particular application or the whole organization will fill up and but In reality, um youll find that almost 40 percent of the storage purchased is not used, but you have to pay the price upfront, whereas in cloud storage you dont have to pay any upfront cost, so you only pay for what you need and if um, for example, If, for today, based on the today consideration, you probably need like a 100 gigabyte data – and you add on extra like 20 percent contingency, then you just get that data, and once you are basically close to the using up all the space, you can buy more space.

You dont have to pay um. You dont have to basically do the whole analysis for how much data you, how much storage you will be using in next three years to the calculation based on the next six months. But it brings down all that analysis, part and save time, and also youre, not paying upfront cost. You are only paying for whatever you are using. So the call data which we said like its almost like ninety percent, five percent of the data in most of the organization, is cool data and which is basically sitting on that costly storage. Well, definitely, when youre buying the storage um and most of the time you probably end up, buying the same kind of a storage to store all three type of data. So it means like all your 95 percent of the whole data will be sitting on that expensive, hard drive, whereas cloud storage, you know there are loads of software and they the provider. They provide like a data reduction technique which can basically bring down the size of like the hot data and then move the cool and cool data on the less or inexpensive type of inexpensive storage. So using the software you can bring down the cost significantly compared to where, in the local storage, all your data is sitting on the expensive storage, uh yeah, the another main topic is the backup time. So in the local storage, you need a staff. You need a proper planning.

You need a basically a strategy to basically um to back up the data. How frequently you want to back up the data. There are uh people looking after the process if process fail, and then someone is following up so its like a day to day struggle, and we know like uh. The backups are very important like if something happens like in a disaster case of disaster or anything like any failure. The backup helpers are restoring the system, so there is a constant struggle to bring down the backup time, whereas in cloud its uh done by the cloud private provider, so its automatic backup. Another last topic, um in comparison i want to bring in, is like the migration, and we all know uh, like the kind of uh storage, get outdated in like three to five years. Technology is moving so fast, uh every three to five year. You have to go through the cycle where you are migrate: doing the storage, migration, upgrading your hard drive upgrading software, the team is working day and night, looking after the migration theres a big project running in the company just enough for the migration itself and that particular Process can take up to two to two months to six months, maybe longer in few companies where you have to migrate, maybe like 50 000 servers or hundred thousand servers. You can think like how much your work and how much manpower will be required to do such kind of thing, whereas in the cloud storage the vendor manages all the data migration if they have to upgrade the hard drive or i want to upgrade the hard drive.

I can just do with the click of a button and also its regularly. Data is back up so that migration is basically um just a part of using the software and assigning your drive to the in a new type of drive or the vendor. Upgrading the drive itself so um, so you can see like were saving on the manpower, were saving on the the headache of doing the project planning and all that is saved by just the cloud storage. So hope you like this session. Thank you all.

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Written by freotech

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