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What is meshIQ?

Middleware observability and management software designed for messaging, event processing, and streaming within hybrid cloud environments is known as MESH. - It offers a comprehensive situational awareness® that ensures full observability of Integration MESH. - The platform facilitates secure management of configuration, administration, and deployment processes while also automating these tasks. - Users can track and trace transactions, messages, and data flows effectively. - It enables the collection of data, performance monitoring, and benchmarking. meshIQ empowers users with detailed controls for managing configurations within the MESH, which minimizes downtime and accelerates recovery following outages. The software supports searching, browsing, tracking, and tracing messages to identify bottlenecks, enhance root cause analysis, and increase efficiency. By unlocking the integration black box, it provides visibility across the MESH infrastructure for thorough visualization, analysis, reporting, and predictive capabilities. Additionally, it equips users with the ability to initiate automated actions based on set criteria or intelligent AI/ML-driven decisions, further enhancing operational efficiency and responsiveness. This holistic approach not only improves system reliability but also fosters a proactive stance in managing integration challenges.

What is Middleware?

An innovative cloud observation platform powered by AI offers a middleware solution that enables users to pinpoint, comprehend, and address issues within their cloud infrastructure. This AI-driven system identifies and diagnoses a variety of issues related to applications and infrastructure, providing insightful recommendations for their resolution. With a real-time dashboard, users can effectively monitor metrics, logs, and traces, ensuring optimal outcomes with minimal resource expenditure. The platform consolidates all relevant data into a cohesive timeline, delivering a comprehensive observability solution that grants full visibility into cloud operations. Leveraging advanced algorithms, the AI analyzes incoming data and proposes actionable fixes, while giving users complete control over their data collection and storage, potentially reducing costs by up to tenfold. By connecting the dots from the origin to the resolution of problems, issues can be addressed proactively, often before they reach the users. Ultimately, the platform provides a centralized and cost-effective solution for cloud observability, enhancing overall operational efficiency. This empowers users to maintain their cloud systems with greater confidence and effectiveness.

Media

Media

Integrations Supported

ActiveMQ
Apache Kafka
Dynatrace
IBM App Connect
IBM DataPower Gateway
IBM Event Streams
IBM MQ
IBM Tivoli Monitoring
RabbitMQ
ServiceNow
Splunk AppDynamics
Splunk Enterprise

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

meshIQ

Date Founded

1994

Company Location

United States

Company Website

meshiq.com

Company Facts

Organization Name

Middleware Lab

Date Founded

2022

Company Location

United States

Company Website

middleware.io

Categories and Features

AIOps

Not specified

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

Cloud Monitoring

Not specified

Message Queue

Not specified

Observability

Not specified

Categories and Features

Log Monitoring

Not specified

Observability

Not specified

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