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Amazon EBS vs Cloud Local Storage: What are the differences?
### Introduction
When comparing Amazon EBS and Cloud Local Storage, it is essential to understand the key differences between the two in terms of functionality and usage within a cloud environment.
1. **Storage Type**: Amazon EBS provides block-level storage volumes that can be attached to EC2 instances, offering persistent storage independent of the instance's lifecycle. In contrast, Cloud Local Storage provides ephemeral storage directly attached to the instance, which is temporary and lost if the instance is terminated.
2. **Durability and Redundancy**: Amazon EBS stores data redundantly across multiple servers and availability zones, ensuring high durability. On the other hand, Cloud Local Storage does not offer data redundancy or durability, making it susceptible to data loss in case of hardware failures or instance termination.
3. **Performance**: Amazon EBS volumes offer consistent and predictable performance characteristics, suitable for mission-critical applications that require high IOPS and low latency. In comparison, Cloud Local Storage performance may vary based on the instance type and workload, making it less predictable for performance-sensitive applications.
4. **Snapshots and Backups**: Amazon EBS allows users to create snapshots of their volumes, enabling data backups, point-in-time recovery, and volume replication. Cloud Local Storage does not offer native snapshot functionality, limiting data backup and recovery options for users.
5. **Scalability and Flexibility**: Amazon EBS volumes can be easily resized and scaled up or down as needed without interrupting the attached instance, providing greater flexibility for storage management. Cloud Local Storage does not support dynamic resizing, requiring users to provision additional storage or instances for scalability.
6. **Cost**: Amazon EBS volumes incur separate costs based on the provisioned storage size and usage, offering a pay-as-you-go pricing model. Cloud Local Storage is typically included in the instance's cost but may result in higher expenses for additional storage and data transfer, impacting the overall cost efficiency of the solution.
In Summary, Amazon EBS and Cloud Local Storage differ in terms of storage type, durability, performance, backups, scalability, and cost, providing distinct options for storage management within a cloud environment.
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- Point-in-time snapshots36
- Data reliability27
- Configurable i/o performance19
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What is Amazon EBS?
Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.
What is Cloud Local Storage?
Serverless storage exposed via simple, familiar API. Simply call getItem & setItem, passing a name and a value and your data is stored forever on cloud-local-storage.
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What companies use Amazon EBS?
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What tools integrate with Amazon EBS?
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What are some alternatives to Amazon EBS and Cloud Local Storage?
Amazon EFS
Amazon EFS is easy to use and offers a simple interface that allows you to create and configure file systems quickly and easily. With Amazon EFS, storage capacity is elastic, growing and shrinking automatically as you add and remove files.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.