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What is Infrared360?

Infrared360® presents an extensive collection of tools designed for Administration, Monitoring, Load Testing, Auditing, Statistical Reporting, and Self-Service, specifically optimized for Enterprise middleware environments. As cloud platforms, containers, and other modern distributed architectures become more prevalent, it is crucial to fulfill your Service Level Objectives without any compromises. Unlike other solutions that simply log information and depend on average-based alerts—which often result in considerable delays—Infrared360® offers True Real-Time™ monitoring along with proactive notifications regarding potential issues, ensuring your middleware functions at its highest capability. Its Auto-Discovery functionality detects any newly created objects across various operating systems, such as Queue Sharing groups and transmission queues, facilitating immediate checks on the correct configuration of assigned objects for application and subsystem availability. This feature significantly boosts operational effectiveness by providing immediate visibility into the status of your middleware infrastructure, allowing teams to respond swiftly to any anomalies that might arise. By leveraging these advanced capabilities, organizations can maintain optimal performance while minimizing downtime.

What is HiveMQ?

HiveMQ provides the most trusted IoT data streaming and Industrial AI platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone. What HiveMQ is known for: 1. MQTT-native: Built around the MQTT standard, purpose-designed for event-driven, real-time communication 2. Enterprise-grade reliability: Handles millions of concurrent connections with high availability and fault tolerance 3. Industrial-ready: Widely used in IIoT, manufacturing, automotive, energy, smart infrastructure, and data centers 4. Scalable & secure: Supports global deployments with strong security, governance, and observability 5. UNS & IT/OT convergence enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.

Media

Media

Integrations Supported

Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
MySQL
Snowflake

Integrations Supported

Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
MySQL
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.34/hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Avada Software

Date Founded

2006

Company Location

United States

Company Website

avadasoftware.com/product-details-infrared360/

Company Facts

Organization Name

HiveMQ

Date Founded

2012

Company Location

Germany

Company Website

www.hivemq.com

Categories and Features

Message Queue

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

System Monitoring

Alerts / Notifications
Antivirus Management
Data Backup / Recovery
Device Monitoring
Inventory Management
Patch Management
Policy-based Automation
Remote Monitoring
Reporting / Analytics
Risk Analysis
Server Monitoring
Service Configuration Management

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Message Queue

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

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