In this article, you are going to learn about a core AWS service, called Simple Storage Service. AWS Simple Storage Service, or S3, is a very versatile and useful service. It is also one of the oldest AWS services. That means it is one you should know, especially for the exam. Therefore, let us start by looking at some of the use cases for this service.
AWS S3 is one of the most fundamental services of AWS Cloud.
It’s basically your unlimited and safest cloud storage.
Read this comic style conversation between two guys and get to know why some of the biggest companies in the world are using Amazon S3 for their business and why you should use it too.
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In the following article, I described an overview of the storage options when using AWS.
In this article, I want to navigate you on the AWS S3, explaining the different storage classes and a quick guide on creating and using the S3, handling files, versioning, lifecycle, and even hosting your static website.
S3 is a storage service that offers high data availability, scalability, and security within a high performance.
The availability is related to access to the content of your S3 bucket when you need it. It is guaranteed no less than 99.5% of SLA for S3 buckets.
The durability is the guarantee that your file will not be lost. For this case, the SLA of durability is eleven nines (99.999999999%).
Note that those SLAs are determined by the storage class selected for the bucked.
To have a better understanding of this “nines” for SLA, check this article at Wikipedia: en.wikipedia.org
#aws #cloud #storage #aws s3
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Amazon Simple Storage Service or Amazon S3 is a service designed to house storage for the internet. In this article, we’ll talk through all the strategies you can use to reduce Amazon S3 costs.
First, let’s review the factors that affect Amazon S3 monthly costs. You will pay for:
One of the most important cost factors is the storage class. Make sure you understand the different classes available and their use cases. Let’s quickly review and compare them.
Amazon S3 offers 6 different storage classes.
Keep in mind that every S3 object can be assigned a specific storage
class. Thus a bucket might have objects with different classes simultaneously.
S3 Standard class is typically used for frequently accessed data. Although the cost per Gb is high, you don’t pay for the number of requests. And therefore this storage class is best suited for objects read or written several times each month.
The third class in the table is S3 Standard-IA. It has a lower Storage Price. But the access cost is higher. According to AWS, it should be used for long-lived but infrequently accessed data that needs instant access.
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Recently someone in my organisation asked me about ways of backing up our performance metrics data. While having backup tables is one of the standard ways of doing it, I, super paranoid about the safety and resilience of our database started thinking about other alternatives alongside a database backup that would not shrink our wallets dry and would also provide additional features in addition to the required safety and resiliency.
Walking down that lane, two solutions came to my mind. One was having offline backups on our Microsoft Onedrive storage which was provided to us for backing up our local files and second was S3. Onedrive folder has its own advantages when we talk about collaborative efforts with awesome integration with other office applications and online editing capabilities for multiple office applications like Excel and PowerPoint. S3 on the other hands kills it in terms of providing seamless support towards serverless architectures, support for all kinds of file formats, in-built querying capabilities for CSV, TSV files and its great integration with Python, which is our main scripting language for data transformation and automation alongside SQL.
And so we began. With us needing to backup our database data, S3 was the obvious choice. The process was simple and can actually be narrowed down to just three steps:-
* It created a folder which was same as the table name from where the data was backed up * Inside that folder it had a folder called 'archive' which stored all the historically backed up CSV files as we maintained versions * There was a separate CSV file which was the latest copy of the backup
Based on this structure now, we had to upload that data to S3. Initially, it was easy when the project started as we manually uploaded the folders for the tables but we needed some automated way of doing it without any human touch.
Finally, I found a solution.
#python #amazon-web-services #automation #s3 #aws