How Cloud Costs Are Computed and How to Reduce Cloud Costs?
How to reduce cloud costs is a question on everyone’s mind
since cloud computing has revolutionized the ways in which workspaces function.
They have sped up processes and helped save a lot of time and effort thereby
making the workspace more efficient. But the reality is that Cloud computing is
rather expensive, especially when cloud
spending is on a large scale. Today, we will look at how you can reap the
benefits while reducing cloud bills.
But before we do that, to get a holistic picture of the process, one needs to
understand how most companies price their cloud computing service. Below
mentioned key points would certainly help you in getting the answer to the big
question, ‘How to reduce cloud costs’?
The types of pricing
Pricing is classified into fixed and
dynamic pricing. The hallmarks of both these types of pricing are as follows:
In fixed pricing the service provider states that a specific sum of money will
be charged for a specific amount of usage. The various types within this will
be dealt with in the following paragraph. In dynamic pricing, the service
provider provides the service at different prices for different customers based
on various factors. The determinants of such costs too will be dealt will
extensively in the following paragraphs. One crucial way to avoid overspending
is to choose a pack wisely.
Types of Fixed pricing
Within fixed pricing, one may select
a subscription based model, a pay-per-use model or a hybrid model. A
subscription model is akin to a prepaid service. Here the customer chooses a
pack based on the data available and the benefits provided and this is all done
at a fixed rate for a fixed period of time, usually monthly. A pay-per-use
model, is akin to a post-paid service where the consumer is charged after
usage, only for the data used a benefits availed. A hybrid model is one where
it is subscription based up to a limit and pay-per-use post that.
Determinants of cost in Dynamic Pricing
A dynamic model charges different
customers in different ways. The pricing is negotiated before the commencement
of service and carried out accordingly. Consumers have bargaining chips here
and they can drive down the price. In determining the price, service providers
look at the cost they are incurring, the value that they are providing, the
price of competitors, the willingness of the consumer and maybe even the
location of the consumer. These pricing models are often provided by smaller
companies with whom you can have personal contact and is suitable for similarly
small companies, whose requirements might not be very tasking.
Reduction of Costs
If you opt into cloud computing with
large cloud service providers such
as Microsoft Azure, Amazon Web Services or
Google-cloud-platform, you will end
up running your bills to the thousands, if not millions of dollars. This is
especially true for large corporate. It is not a problem if you paying for what
you use, but in reality that is not the case. These companies often end up
paying more than they should due to lack of maintenance. Proper monitoring and
regular check-ups along with de-cluttering within the same domain can almost
save you a fortune. Here is how they can go about it.
1.
Find Unused Resources
Some resources are temporarily used. The administrators of the
company IT department will purchase a tool in order to enhance performance for
a task. The issue however is that more often than not, they neglect to turn off
this tool after the job is done. This programme then just stays on the cloud
and takes up data, but in exchange, offers no value for you. But when you get
your cloud computing costs you will
find that you have been charged for this data as well. So the first thing you
can do is identify unused programmes and uninstall them.
2.
Use Heat Maps
A heat map is a data analyser tool. It provides valuable data on
the usage of your cloud service by showing instances of spikes or dips in cloud
data usage. This happens to be a crucial tool in cloud cost management. You can use it to note processes which are
increasing the costs and manage them effectively. It gives you a holistic idea
of when the activity is at the highest or lowest, and based on this
information, you can shut down the system and save money very easily. Do this by using automatic sensors to avoid
human labour costs.
3.
Buy Reserved Instances
RIs, also known as reserved
instances, are a must for companies trying to optimize their cloud costs.
These RIs are essentially long term commitments by paying the bills upfront as
opposed to later, after the usage. It is said that investing by purchasing RI
can save up to 75% of the cost being incurred earlier. RIs are offered in many
plans and you should buy one which suits your needs. To determine this, you
need to look at your usage over the years and purchase RIs based on that,
consistent with such usage and by also allowing for future scaling.
4.
Adapt Multi Cloud
Process
If you run a single cloud system, you run the
risk of incurring very high costs. It decreases your ability to use your
resource. Therefore, it’s prudent to consider a multi cloud environment.
Instead of buying your entire service from say, Amazon, you buy one chunk from
Google and one from Amazon and one from Microsoft. The problem however, is that
when you do this you will risk losing out on discounts offered for meeting certain
caps, which would be possible only if you use one provider. So you must
determine your priority, but it is an option worth considering.
Conclusion
There is no debate on whether you
should adopt cloud computing in your workspace. This is because there isn’t
much of a case against it. The only thing that can be said is that it’s
expensive and using the steps mentioned in this blog, you can nullify that
argument as well. In the end you will run two benefits. Firstly, low cost due
to streamlined cloud and as an unintended benefit, better performance due to
lower pressure. This too will increase your profits. Hence, don’t think of this
as a cost, but as an investment, for it will yield returns.
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