Understanding rising Google Storage level is right for your company is a complex problem. Let's get some information on data storage in the Google Cloud before we dive into that.
It seems like ancient history when you think back to the days when everybody kept all their data on-site. And there was cloud storage. It is now uncommon for organizations and individuals not to store at least part of their cloud data. In reality, several organizations that use cloud storage may not even be aware of this.
Moving to the cloud presented us with a handful of companies offering massive cloud storage quantities at economical rates. Google cloud storage, for example, is one of the giants in this area.
Google Cloud provides object storage to organizations of all sizes for any amount of data that can be accessed as much as you want. The business offers worldwide access and unrestricted storage with no minimum object size at low latency. The annual standard of durability is 99.9999999 percent of the world-class.
The Classes of Google Cloud Storage
The likelihood of having to access data drops significantly after one month of data production, according to studies by Fred Moore, President of Horison Information Strategies. It falls below 1% after a hundred days.
The bottom line is that most company data is easily overlooked. However, because of compliance purposes, businesses can't just erase any of this. Or the fact that these data might have some possible benefit in the future. It is also unwise to retain all data on a costly level of storage.
Google thus provides several thirds of cloud storage at varying price points and efficiency levels. When users decide which level fits their needs, they're not stuck with it. When time goes by, everything can be reconfigured.
The top-level of Google Storage is considered the Standard Storage. It is intended for hot data that is regularly accessed or stored only briefly. This can include blogs, streaming video, smartphone and gaming support data, and other operating data.
Standard Storage may be purchased at one or more places. Storing data at more than one location provides more than redundancy. Data-intensive work can improve efficiency and increase availability.
Google has a 99.5 percent service level agreement (SLA) guarantee for dual-region and multi-region storage at this level, although the typical monthly availability is higher than 99.99 percent. If only one region is used, the SLA will drop to 99.9 percent. This means that if Google fails to reach the goal, the purchaser will have access to credit.
The cost of storing a GB of standard storage data is 2 cents per month.
The Nearline Capacity is below the Standard Storage. It is intended for data that is supposed to be processed and made available for at least one month.
Backup data and multimedia content that are likely to attract interest or traffic for more than a few days will fit this category. Data that you put in the analysis file weekly or monthly will also be a good match. In short, whatever you intend to read or change, on average, once a month or less.
Nearline Storage is cheaper than Standard Storage and is an excellent place to store less regularly accessed data. However, the lower price means that availability is a little lower, and there is a minimum storage time of 30 days. Availability for dual and multi-region Nearline Storage has an SLA of 99.9 percent and an SLA of 99 percent for a single region.
The cost of storing a GB of data on Nearline Storage is 1 cent per month.
This storage level is much lower in cost and is explicitly built for data that is rarely accessed. A reasonable rule of thumb is that if you are likely to read or change this data more than once a quarter, place it at a higher level. Otherwise, Coldline Storage is useful for data saved for solely backup or archiving purposes.
Availability is the same as for Nearline Storage and the cost is less than half a cent per GB per month.
At the bottom of the stack, Archive Storage is the lowest-cost storage available from Google. As the name suggests, it is suitable for data archiving, but it is also a decent home for online backups and disaster recovery data.
Google aims to distinguish the lowest level from other providers by providing quicker entry. Data is available in milliseconds – but at a charge, of course. Archive Storage comes with no SLA. Google indicates that its availability is close to that of Nearline Storage, but there is no guarantee. Another problem with Archive Storage is that it has a minimum storage time of 365 days.
But the price is difficult to beat: Archive Storage costs a twelfth of a cent per GB per month.
Google Cloud Storage Tools
Google provides tools for automated transfer of storage from one level to another. Known as Object Lifecycle Management, you can set it up to migrate data to a lower-cost storage class after so many days. Eventually, the device will transfer anything down to Coldline or Archive Storage without the user needing to interfere.
Besides, several methods are offered for sending data to and from Google Storage. For example, the Storage Transfer Service is used to move data from an on-site storage location or another cloud provider to Google Cloud and from one cloud location to another within the overall Google Cloud.
Other facilities include the On-Site Data Transfer Facility (Online) and the Transfer Appliance (an offline storage server that you ship to an ingest location to be uploaded to cloud storage).
Google Cloud and Data Costs: Buyer Beware
However, the above description does not include all the costs that users can incur.
Moving data across the Google network within the same area is often free, but can incur a 1 cent per GB charge under some circumstances. And taking data from Google Cloud to anywhere else in the world will cost anywhere from 8 cents to 23 cents per GB.
And then, operating charges can occur when you make adjustments to or retrieve object information. In some instances, they are nominal. But for Archive Storage, the prices are as high as 50 cents for a few thousand operations.
Bottom line: Check the fine print before you commit and evaluate the real cloud needs and data specifications to assess the actual monthly costs.