Remove any cloud storage that isn’t connected
When your virtual machines (VMs) are terminated, just the root drive associated with the VM is generally removed. The extra storage volumes are kept intact and incur storage fees, which is done on purpose in some circumstances to avoid unintentional deletion. Finding and deleting unconnected volumes is a simple method to save cloud expenditures. This is a no-brainer—get rid of the storage if you’re not utilizing it. However, like with any untethered resource, identifying who owns the storage and having them swear to its necessity to exist or not requires some detective effort. Who knew data could be so life-changing?
Invest on the best storage tier available
There are several storage levels available with every public cloud service. Despite this, everyone appears to go for the fastest (and most expensive) option, with little or no care for cost. Shouldn’t it be better if it costs more? Possibly not.
The price per GB/month is usually determined by how frequently and rapidly you need to access your data. “Hot” storage tiers (which often store frequently accessed data that requires low latency, high speed and throughput, and high availability) can cost up to 5 times as much as their “cold” tier equivalents (where infrequently accessed data, such as backups and archives, should reside).
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Storage volumes that aren’t being used are being repurposed
Creating a storage volume that is never utilized is the easiest method to squander money on cloud storage. You can’t reduce the size of your storage volumes in the cloud. NetApp suggests that you identify large volumes first, then build a new volume with the capacity you actually need, move your old data, then destroy the big volume. Simply adopt improved storage need evaluations for the volume generation process in the future.
Reduce data transmission between regions and zones
Cloud providers might charge you extra when data transfers between regions, nations, or availability zones. These data transfers might be part of an application’s design, or they can be utilized by DevOps to keep test data current. They can also be used as part of a redundancy plan. As a result, data transfer must be both intentional and sanctioned. Make it your mission to host vital data as close to its userbase as feasible. Consider re-architecting solutions in the long run to reduce the distance your data must travel.
Reduce storage capacity based on throughput requirements
Performance levels are also available from cloud providers to fulfil your throughput requirements. Monitoring the read-write ratio might help you save money on storage. You can save money on storage by keeping track of a volume’s real read-write access and downgrading it to a lower performance tier if the throughput is poor. This lowers storage IOPS and lowers cost while better aligning storage with the workload.
Determine the level of storage redundancy required
When given the choice to duplicate data anywhere, individuals often become panicked and pick a remote place. But do you really need your data in the UK to defend against a data loss caused by a storm in the US, for example? Of course, unless it’s a very massive hurricane, the answer is no. These types of decisions have a significant financial impact; for example, redundancy across many geographies might cost twice as much as local redundancy. It’s critical to carefully design your redundancy needs, including business effect analyses and risk assessments to identify what’s truly required.
Remove any old photos
Any virtual machine recovery approach must include a snapshot. IT businesses can restore to a given point in time using several snapshots, depending on the disaster recovery scenario. The last thing you want to do is remove anything that the workload’s owner need. However, when you have hundreds of VMs, each of which takes a daily snapshot without removing the previous day’s picture, your cloud storage expenses skyrocket. You’ll need to devise a method for dealing with snapshot expiration. Most cloud providers, thankfully, have some sort of snapshot lifecycle policy in place to automate removals, removing the need to rely on a single person.
Manage data transfer requests from outside the company
Data movement is expensive. This is unquestionably true. However, not all of these expenses are the same. Data transport costs in the cloud are determined by the distance between the source and destination cloud servers. In most cases, incoming traffic is free (or close enough). However, data egress (data movement beyond the cloud provider’s network) is costly. And keep in mind that, in the eyes of the data owner, the transfer is all about “I need it done,” not “it’s more cost efficient this way.” Encourage users to keep data as near as possible to where it’s really utilized to avoid having to relocate it elsewhere. Keep an eye on the storage price tier.
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Additional cost categories based on utilization are frequently included in storage and data transmission pricing. You may be able to negotiate a cheaper price if you reach certain levels in the cloud provider’s pricing table, as indicated by words like “more than.” Keep in mind that bigger reductions are only available for data that fits the price criteria. Finally, you may be bound by a multiyear agreement. You should aim to keep within the contract’s parameters while searching for methods to reduce expenses over time depending on rising usage.
Remove any unfinished uploads from your storage
Users may be required to upload files under some workloads. Interrupted uploads in this circumstance might result in incomplete objects lingering in cloud storage as worthless data, costing you money. Because administrators are unwilling to remove or relocate anything, unfinished uploads can mount up to tones of garbage, depending on their size (see step 6). Backing up unfinished uploads and then deleting them is the wisest course of action.