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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cloud Storage
  5. Amazon EBS vs RabbitMQ

Amazon EBS vs RabbitMQ

OverviewDecisionsComparisonAlternatives

Overview

Amazon EBS
Amazon EBS
Stacks650
Followers542
Votes82
RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K

Amazon EBS vs RabbitMQ: What are the differences?

Introduction

In website development, it is important to ensure that the content is formatted properly to enhance readability and provide a good user experience. Markdown is a lightweight markup language that can be used to format text on websites. In this task, we will format the provided information about the key differences between Amazon EBS and RabbitMQ as Markdown code that can be used on a website.

Key Differences between Amazon EBS and RabbitMQ

  1. Storage vs Messaging: Amazon EBS (Elastic Block Store) is primarily used for providing persistent block-level storage for Amazon EC2 instances, allowing data to be stored independently from the instance. On the other hand, RabbitMQ is a messaging broker that enables different applications to exchange messages, facilitating asynchronous communication and decoupling components.

  2. Data Persistence vs Message Queueing: Amazon EBS provides data persistence, allowing data to be stored and retrieved even if an Amazon EC2 instance is terminated or fails. In contrast, RabbitMQ focuses on message queueing, ensuring reliable delivery and enabling communication between applications, even when they are not concurrently available.

  3. Storage Performance vs Messaging Complexity: Amazon EBS provides storage that is optimized for performance, offering features such as high IOPS (Input/Output Operations Per Second) and low-latency access to data. On the other hand, RabbitMQ introduces additional complexity for message queuing and handling, which may require more effort to set up and configure.

  4. Scale-Up vs Scale-Out: Amazon EBS allows for scaling up by increasing the storage capacity of an individual instance. It provides seamless integration with Amazon EC2 instances and allows for easy expansion. In contrast, RabbitMQ is designed for scaling out, enabling the distribution of messages across multiple applications or consumers to handle higher message loads efficiently.

  5. Block-Level vs Message-Level: Amazon EBS operates at the block level, allowing direct access to storage blocks, which is suitable for data-intensive workloads that require low-level disk operations. On the other hand, RabbitMQ operates at the message level, allowing messages to be exchanged between applications, making it ideal for asynchronous messaging and decoupled architectures.

  6. Synchronous vs Asynchronous: Amazon EBS provides synchronous storage, ensuring immediate availability of data when requested. It is designed for use cases where immediate access to data is crucial. In contrast, RabbitMQ enables asynchronous messaging, allowing applications to continue working independently without waiting for immediate responses, which is beneficial for decoupling components and enhancing scalability.

In Summary, Amazon EBS focuses on providing persistent block-level storage for Amazon EC2 instances, while RabbitMQ is a messaging broker that enables asynchronous messaging and decoupled communication between applications.

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Advice on Amazon EBS, RabbitMQ

viradiya
viradiya

Apr 12, 2020

Needs adviceonAngularJSAngularJSASP.NET CoreASP.NET CoreMSSQLMSSQL

We are going to develop a microservices-based application. It consists of AngularJS, ASP.NET Core, and MSSQL.

We have 3 types of microservices. Emailservice, Filemanagementservice, Filevalidationservice

I am a beginner in microservices. But I have read about RabbitMQ, but come to know that there are Redis and Kafka also in the market. So, I want to know which is best.

933k views933k
Comments
Pulkit
Pulkit

Software Engineer

Oct 30, 2020

Needs adviceonDjangoDjangoAmazon SQSAmazon SQSRabbitMQRabbitMQ

Hi! I am creating a scraping system in Django, which involves long running tasks between 1 minute & 1 Day. As I am new to Message Brokers and Task Queues, I need advice on which architecture to use for my system. ( Amazon SQS, RabbitMQ, or Celery). The system should be autoscalable using Kubernetes(K8) based on the number of pending tasks in the queue.

474k views474k
Comments
Meili
Meili

Software engineer at Digital Science

Sep 24, 2020

Needs adviceonZeroMQZeroMQRabbitMQRabbitMQAmazon SQSAmazon SQS

Hi, we are in a ZMQ set up in a push/pull pattern, and we currently start to have more traffic and cases that the service is unavailable or stuck. We want to:

  • Not loose messages in services outages
  • Safely restart service without losing messages (@{ZeroMQ}|tool:1064| seems to need to close the socket in the receiver before restart manually)

Do you have experience with this setup with ZeroMQ? Would you suggest RabbitMQ or Amazon SQS (we are in AWS setup) instead? Something else?

Thank you for your time

500k views500k
Comments

Detailed Comparison

Amazon EBS
Amazon EBS
RabbitMQ
RabbitMQ

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.

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Amazon EBS allows you to create storage volumes from 1 GB to 1 TB that can be mounted as devices by Amazon EC2 instances. Multiple volumes can be mounted to the same instance.;Amazon EBS enables you to provision a specific level of I/O performance if desired, by choosing a Provisioned IOPS volume. This allows you to predictably scale to thousands of IOPS per Amazon EC2 instance.;Storage volumes behave like raw, unformatted block devices, with user supplied device names and a block device interface. You can create a file system on top of Amazon EBS volumes, or use them in any other way you would use a block device (like a hard drive).;Amazon EBS volumes are placed in a specific Availability Zone, and can then be attached to instances also in that same Availability Zone.;Each storage volume is automatically replicated within the same Availability Zone. This prevents data loss due to failure of any single hardware component.;Amazon EBS also provides the ability to create point-in-time snapshots of volumes, which are persisted to Amazon S3. These snapshots can be used as the starting point for new Amazon EBS volumes, and protect data for long-term durability. The same snapshot can be used to instantiate as many volumes as you wish. These snapshots can be copied across AWS regions, making it easier to leverage multiple AWS regions for geographical expansion, data center migration and disaster recovery.;AWS also enables you to create new volumes from AWS hosted public data sets.;Amazon CloudWatch exposes performance metrics for EBS volumes, giving you insight into bandwidth, throughput, latency, and queue depth. The metrics are accessible via the AWS CloudWatch API or the AWS Management Console. For more details, see Amazon CloudWatch.
Robust messaging for applications;Easy to use;Runs on all major operating systems;Supports a huge number of developer platforms;Open source and commercially supported
Statistics
GitHub Stars
-
GitHub Stars
13.2K
GitHub Forks
-
GitHub Forks
4.0K
Stacks
650
Stacks
21.8K
Followers
542
Followers
18.9K
Votes
82
Votes
558
Pros & Cons
Pros
  • 36
    Point-in-time snapshots
  • 27
    Data reliability
  • 19
    Configurable i/o performance
Pros
  • 235
    It's fast and it works with good metrics/monitoring
  • 80
    Ease of configuration
  • 60
    I like the admin interface
  • 52
    Easy to set-up and start with
  • 22
    Durable
Cons
  • 9
    Too complicated cluster/HA config and management
  • 6
    Needs Erlang runtime. Need ops good with Erlang runtime
  • 5
    Configuration must be done first, not by your code
  • 4
    Slow

What are some alternatives to Amazon EBS, RabbitMQ?

Amazon S3

Amazon S3

Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

Google Cloud Storage

Google Cloud Storage

Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Azure Storage

Azure Storage

Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.

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