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Average Ratings 0 Ratings

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ease
features
design
support

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Description

IBM® Messages for RabbitMQ on IBM Cloud® serves as a versatile broker that accommodates various messaging protocols, enabling users to efficiently route, track, and queue messages with tailored persistence levels, delivery configurations, and publish confirmations. With the integration of infrastructure-as-code tools like IBM Cloud Schematics utilizing Terraform and Red Hat® Ansible®, users can achieve global scalability without incurring additional costs. IBM® Key Protect allows customers to use their own encryption keys, ensuring enhanced security. Each deployment features support for private networking, in-database auditing, and various other functionalities. The Messages for RabbitMQ service enables independent scaling of both disk space and RAM to meet specific needs, allowing for seamless growth that is just an API call away. It is fully compatible with RabbitMQ APIs, data formats, and client applications, making it an ideal drop-in replacement for existing RabbitMQ setups. The standard setup incorporates three data members configured for optimal high availability, and deployments are strategically distributed across multiple availability zones to enhance reliability and performance. This comprehensive solution ensures that businesses can effectively manage their messaging needs while maintaining flexibility and security.

Description

IBM® Integration Bus allows for seamless connections between applications, irrespective of the various message formats or protocols they utilize. This capability enables a diverse range of applications to communicate and share information within a flexible, dynamic, and extensible framework. It accommodates numerous data formats, including binary types like C and COBOL, XML, and various industry standards such as SWIFT, EDI, and HIPAA. Additionally, patterns offer reusable solutions that encapsulate proven methods for addressing common architectural, design, or deployment challenges in specific contexts. These patterns can be implemented as-is or tailored to fit specific needs. Furthermore, message flows articulate the connectivity logic of your applications, outlining the precise route that data follows within the integration node, thereby determining the processing applied by the message nodes along that route. This structured approach not only fosters better integration but also enhances overall system performance and reliability.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Ansible
Elasticsearch
IBM Cloud
IBM Cloud Kubernetes Service
IBM Cloudant
IBM Watson IoT
PostgreSQL
RabbitMQ
Terraform

Integrations

Ansible
Elasticsearch
IBM Cloud
IBM Cloud Kubernetes Service
IBM Cloudant
IBM Watson IoT
PostgreSQL
RabbitMQ
Terraform

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/messages-for-rabbitmq

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/docs/en/integration-bus/10.0

Product Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Message Queue

Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling

Product Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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