Middleware vs meshIQ Platform comparison

meshIQ is an advanced middleware observability and management platform tailored for complex IT environments. It empowers teams to efficiently manage hybrid, multi-middleware infrastructures, providing clarity and control for seamless modernization without disruption.

meshIQ offers comprehensive multi-middleware observability and specialized Kafka management. It supports seamless observability and control, whether dealing with legacy systems like IBM MQ or streaming technologies such as Apache Kafka. By ensuring uninterrupted transitions from legacy to modern platforms, it reduces downtime risks. meshIQ's unified interface consolidates performance insights, enabling real-time analytics and proactive monitoring to swiftly resolve issues and optimize operations.

What features define meshIQ?

• Kafka-Specific Management: Offers specialized tools for managing Kafka environments effectively.
• Seamless Migration: Ensures zero downtime during transitions from legacy to modern middleware.
• Unified Observability: Provides real-time analytics and performance insights across middleware ecosystems.
• Cost Efficiency: Utilizes automated workflows and monitoring to decrease operational costs significantly.
• Operational Agility: Simplifies complex tasks to enhance middleware system reliability and responsiveness.

What benefits and ROI should you expect?

• Reduced Downtime: Guarantees minimal service interruption during migrations.
• Cost Savings: Achieves up to 50% reduction in middleware support expenses.
• Enhanced Reliability: Increases operational resilience and reliability of middleware environments.
• Improved Efficiency: Provides rapid issue resolution, decreasing MTTR.

meshIQ is implemented across industries to manage middleware landscapes that integrate legacy and modern systems like Apache Kafka. This adaptability allows industries to maintain resilience and optimize middleware for both current and future technological demands.

Middleware platform helps identify, understand and fix issues across your cloud infrastructure.

Our AI-based predictive algorithms look at your data and give you suggestions on what to fix.

You are the owner of your data. Control your data collection and store it on your cloud to reduce cost by 5x to 10x.

Connect the dots between when the problem begins and where it ends. Fix problems before your users' report.

Logs: Manage and analyze your Front end, backend, and infrastructure log all in one place to correlate the issue.

Metrics: Monitor your infrastructure's health and performance, which allows you to diagnose issues more quickly.

Traces: Monitor Front end and backend traces and correlate them with respective logs to debug the issue faster.