What Is Storage In AWS & What is S3 Service ?
Managing and Storing High-Performance Backend Servers in AWS
Consider having a big application with high backend servers. How will you manage and store them?
Here comes the concept of Storage -
Storage is more like considering storing your important data in a safe and reliable way so that you can retrieve it anytime you want. There are many ways to store information, such as in hardware, but here the concept of cloud comes in because nowadays no one wants to buy their own infrastructure and manage it due to the high cost it would lead the company to.
AWS Storage Services
S3 (Simple Storage Service)
EBS (Elastic Block Storage): It's block-level storage for EC2 instances with configurations.
Glacier: This is long-term storage, basically used for infrequent data access within storage.
Snowball: It allows large amounts of data to be transferred into and out of AWS using physical storage devices. It's designed for transmitting data over the internet.
What is the S3 Bucket?
S3 is a storage service provided by AWS for managing data in an efficient way so users can retrieve it efficiently. It stores objects as they are uploaded, just like you would upload them on the S3 UI or AWS CLI.
It will create our data in three or more availability zones, meaning if one zone fails, its backup is ready in AWS.
Bucket?
Buckets mean storing the objects; it's just similar to the files.
Types of S3
Standard S3: It provides fast retrieval of data and is widely used in public.
S3 Standard-IA (infrequent Access): This type of storage is infrequently used; it's used when we want to store data and access it not much daily.
S3 One Zone: It means it will only create your data in one availability zone.
S3 Intelligent Tiering: It automatically moves data between two access tiers, just like frequent and infrequent access. It's ideal for data with unknown or changing access patterns.
This is about S3 and Storage services.
I hope you liked it! :)
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Written by
Om Nagare
Om Nagare
im interested in Cloud and DevOps βοΈ AWS | π οΈ Ansible | π Terraform | π§ Jenkins | π Git/GitHub | βΈοΈ Kubernetes | π³ Docker | π Shell Script