Businesses love Amazon Web Services (AWS). With AWS companies are able to scale up or down to accommodate their ever growing and changing data storage needs. AWS offers different levels of cloud storage for different types of data. For example Amazon S3 Standard is designed for frequently accessed data. It provides a cloud-based option for moving data off of internal servers and into the cloud.
On the other hand, businesses often need to hold on to data that they don’t really need to access (but need to retain for financial, compliance, or other reasons). Users can move their archive data to Amazon Glacier, which is an extremely low-cost storage service specifically for data archives. Users can store their data for less than a penny per gigabyte per month. The only caveat to Amazon Glacier is that data retrieval from Glacier can take several hours (also part of the reason why the service is priced as low as it is).
Up until recently, AWS users didn’t know what to do with their infrequently accessed data. This type of data often gets accessed right after upload, and then it is left in storage. Files may not be touched for days or even weeks, but eventually they may need to be accessed again, in a rather timely manner. To accommodate the need for “in-between” type data, Amazon has announced Amazon S3 Standard – Infrequent Access (Standard IA) for storing older, infrequently used data that needs to be available for immediate retrieval.
The Amazon S3 Standard IA storage class offers the same durability and high throughput of S3 Standard, at a lower price point as it is designed for data that doesn’t need to be accessed on regular occasions. Additionally, Amazon SE Standard IA can bridge the gap between Standard S3 and Amazon Glacier. Users can upload data to Standard S3 and then move it over to Standard IA after a set amount of time of inactivity. Users can establish rules within the AWS dashboard that then automatically moves data either back to Standard S3 or over to Amazon Glacier.
For example, a company might be working on a database project. The database files are uploaded to Standard S3 during the testing phase of the project. After the tests are done, the data is moved to IA as it won’t be needed for a while, but in case it needs to be accessed, can be done quickly. After establishing a rule within AWS – if the data goes untouched for a period of 90 days (you can set the amount of time that best suits your business), it will then be automatically moved to Amazon Glacier where it can be stored in archive for pennies on the dollar.
Amazon S3 Standard IA is a great product offering for businesses with complex data needs. This new option for object storage makes storing data for the long-term a more economical process as it allows companies to separate their data based on priority across different storage options that best meet their data storage needs with lower price-points for lower priority data.
Need help setting up your data storage in the cloud via AWS? Contact us today, and let us help manage your data project.