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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 Kloudfuse?

Kloudfuse stands out as an AI-driven observability platform that adeptly scales and brings together a multitude of data sources, such as metrics, logs, traces, events, and the monitoring of digital experiences, into a unified observability data lake. Supporting over 700 integrations, it allows for the effortless integration of both agent-based and open-source data without necessitating any re-instrumentation, and it is compatible with open query languages like PromQL, LogQL, TraceQL, GraphQL, and SQL, in addition to providing the ability to create tailored workflows via notifications and webhooks. Organizations have the advantage of quickly deploying Kloudfuse within their Virtual Private Cloud (VPC) using a simple single-command installation, while operations can be managed centrally through a control plane. The platform's automatic collection and indexing of telemetry data utilize intelligent facets, delivering swift search capabilities, machine learning-driven context-aware alerts, and service level objectives (SLOs) that reduce the likelihood of false positives. Users enjoy extensive visibility across the entire technology stack, making it easier to trace issues from user experience metrics and session replays down to backend profiling, traces, and metrics, thus streamlining the troubleshooting process. This comprehensive observability strategy guarantees that teams can promptly detect and fix code-level problems while keeping user experience enhancement at the forefront of their efforts. Ultimately, Kloudfuse empowers organizations to maintain operational efficiency and foster better user satisfaction.

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

GraphQL
SQL

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

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
Online Training

Company Facts

Organization Name

meshIQ

Date Founded

1994

Company Location

United States

Company Website

meshiq.com

Company Facts

Organization Name

Kloudfuse

Date Founded

2020

Company Location

United States

Company Website

www.kloudfuse.com

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

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