When using an S3 bucket as storage for customer-facing files, you can use the Serverless Framework to maintain the configuration of your S3 bucket in code. For example, a Serverless function can be triggered when an object in an S3 bucket is created or modified, with rules available to filter for the specific requests you want to call the functions. In the Serverless Framework, S3 is most often used as a source for events in Serverless functions. How does S3 work with the Serverless Framework? S3 also integrates with AWS CloudWatch and CloudTrail for monitoring and logging purposes. This proves particularly helpful in situations such as when you need to control access to files in S3 using your own user authentication. One of the useful features of the integration is generating short-lived credentials for a specific S3 object. S3 also integrates with AWS IAM in order to manage access to specific files and buckets. And AWS Athena is a data warehousing solution entirely based on data stored in S3. Several AWS services are able to read and write data directly from and to S3 for example, Amazon RDS can write and read database backups to and from S3. S3 enjoys direct integration with Glacier and allows moving files between the two storage solutions based on a set of S3’s own rules. S3 notifications can also flow into Amazon SQS and SNS.Īlthough technically part of S3 itself, Amazon S3 Glacier is a storage service in its own right, designed for long-term file storage at lower cost. Serverless functions can be made to trigger when files in S3 change, enabling all kinds of S3-based business logic. One service that can act on these notifications is Amazon Lambda this represents the most valuable integration for Serverless developers. Amazon S3 provides notifications when a file is created or changed, and these notifications flow into other AWS services. How does Amazon S3 integrate with other AWS services? This reduces load times for Serverless websites, lowers operating costs, and keeps maintenance of Serverless applications to a minimum. It’s also common to use cloud storage to host the static portions of Serverless systems: HTML pages, images used on Serverless websites, CSS files, and compiled JavaScript code. S3 therefore forms the functional basis for all Serverless solutions that handle large files like user-generated data, images, or video content. Serverless applications generally use cloud storage services like Amazon S3 to store application data that doesn’t fit into a database. What makes Amazon S3 an essential part of the Serverless ecosystem? If you’ve configured the bucket to be publicly accessible, the files in the bucket can be accessed directly using their S3 URL. Once a file is uploaded to S3, it can be referenced using an S3 path that, as you might imagine, includes the bucket name and the path to the file within the bucket. You can control access to the files at the bucket level as well as at the individual file level, and you can set up automated rules for managing the lifecycle of the files for entire buckets or specific prefixes within them. The S3 service is subdivided into individual storage “buckets” each bucket can contain many “prefixes” (which work much like folders on your local disk), and the prefixes in turn contain your uploaded files. You can upload a file to S3 by signing in to the AWS Console and accessing the S3 user interface, or by programmatically issuing a request to the S3 API, directly via HTTP or using one of the AWS SDKs. AWS takes care of storing your files, ensuring their availability, and delivering the files when you or your customers request them. Amazon S3 is a managed service, which means all you have to do is upload and download the files you need. S3’s primary purpose is to store all kinds of files in the cloud, from media files to static web pages, and to make them available via simple requests, either from inside your application or directly out to your customers. Amazon S3 is a cloud storage service offered by Amazon Web Services (AWS). You can also scroll to the end of this article for a list of resources and examples, should you want to learn even more about Amazon S3 and use it with the Serverless Framework. In this guide we go over what Amazon S3 is, discuss why it’s an important part of the Serverless ecosystem, and cover both the positive and negative aspects of using S3, to help you determine if it’s the right fit for your task at hand. Are you interested in learning more about how Amazon S3 works with your Serverless applications? Curious about the benefits and the drawbacks of using Amazon S3 compared to all your other options? Then look no further-this article is for you.
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