Technical Glossary

Amazon EBS (Elastic Block Store)

Definition: High-performance block storage service designed for use with EC2 instances on AWS.

— Source: NERVICO, Product Development Consultancy

What is Amazon EBS

Amazon EBS (Elastic Block Store) is a high-performance block storage service designed for use with Amazon EC2 instances. It functions as a virtual hard drive that attaches to a cloud compute instance, providing persistent storage that retains data even after stopping or restarting the instance. Unlike the ephemeral storage of instances, EBS volumes persist independently of the instance lifecycle.

How It Works

An EBS volume is created within a specific availability zone and attached to an EC2 instance in that same zone. AWS automatically replicates data within the zone to protect against hardware failures. Volumes can be configured with different performance types: gp3 for general purpose, io2 for applications requiring low latency and high IOPS, and st1 or sc1 for sequential workloads with high throughput. EBS allows creating point-in-time snapshots stored in S3 that can be used to restore data, migrate volumes across zones, or create incremental backups.

Why It Matters

Without persistent storage, any data generated during an EC2 instance execution would be lost upon stopping it. EBS solves this problem by offering durable storage with predictable performance. For databases, file systems, and applications requiring fast disk access, EBS is the standard on AWS. The ability to create snapshots and resize volumes without downtime allows teams to manage storage flexibly without interrupting production services.

Practical Example

A SaaS company runs a PostgreSQL database on an EC2 instance with a 500 GB io2 EBS volume configured for 10,000 IOPS. Every night, an automated process creates a volume snapshot for backup. When the team needs to scale the database, they resize the volume to 1 TB and increase IOPS to 20,000 without stopping the instance. The nightly snapshot is also used to create staging environments with real production data in minutes.

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