Diego Pacheco Tech blog

S3 is an object storage that scales within reasonable performance. S3 can be used for a variety of use cases like Big Data analytical workloads, data pipelines, and AI/ML pipelines. S3 is big in the data universe but is also used in services and microservices for a variety of other use cases like file sharing, document management, legal signatures, and many other use cases. S3 is not a relational database, however, from the isolation point of view , S3 should be seen in the same way we see data stores . Since 2020, S3 guarantee strong consistency Read-After-Write. S3 performance handle reads up to 5500 rps and 3500 rps for write. S3 is easy to use and reliable, now everything that is popular and useful can be misused. 

Terraform is awesome.  Terraform allow us to do declarative Infrastructure as Code and it's really the way to roll in AWS nowadays. You really dont want to do things manually or using the mouse because they dont scale and are error-prone. Automation often takes more time to do it and get it right but in the long run, it really pays off because it scales very well. So today I want to share a specific feature in Terraform called S3 Object Bucket. This resource allows us to upload local files to S3. So let's get started!