Data Glossary & FAQ
Learn the meaning of essential data terms and get answers to common questions about using the meshIQ platform.
meshIQ addresses the critical operational challenge created by complex, hybrid messaging environments (like IBM MQ, Apache Kafka, Apache Active MQ, Rabbit MQ, Solace). It transforms these sprawling, fragmented estates from a source of operational fragility and hidden cost into a platform of unified control, agility, and business assurance.
meshIQ provides comprehensive governance, observability, and automation for major enterprise messaging platforms, including IBM MQ, Apache Kafka, TIBCO EMS, Solace PubSub+, ActiveMQ, and RabbitMQ. This hybrid support allows organizations to manage their entire digital nervous system from a single control plane.
Business Assurance is the guarantee that transactions and messages are reliably and compliantly processed, protecting both revenue and reputation. For meshIQ, this means providing end-to-end message tracing, audit-ready evidence, proactive performance monitoring, and secure operational control to prevent outages and financial leakage.
meshIQ reduces costs primarily through three methods:
- Optimized Capacity Planning (preventing over-provisioning and ensuring resources are right-sized)
- Automation and Self-Service (eliminating manual, ticket-based work and freeing up specialized administrators for strategic tasks)
- Tool Consolidation/tool replacement as part of the reduction in operational costs.
Yes. meshIQ supports modernization without disruption. It allows IBM MQ and Apache Kafka to run side-by-side while maintaining governance, reconciliation parity, and unified visibility across both, ensuring the transformation is a controlled evolution rather than a high-risk cutover.
Governed Self-Service empowers development and QA teams to provision their own queues, topics, and connection details, and access high-fidelity operational insights—all within predefined, secure guardrails. This eliminates reliance on central middleware teams, dramatically accelerating development cycles while maintaining compliance and control.
meshIQ provides meticulous, unalterable audit trails and end-to-end evidence of message flows and operational changes. This visibility allows organizations, particularly in finance, to easily demonstrate adherence to stringent regulatory standards and can significantly reduce the time and cost associated with audit preparation.
No. meshIQ is an assurance and governance layer that sits above your existing message brokers. It does not replace them; it enhances them by providing the unified visibility, automation, and control necessary to manage a complex, hybrid estate at scale.
Yes. meshIQ reduces dependency on scarce mainframe expertise by abstracting away complexity and enabling broader, non-specialized teams to contribute safely through automated operations and secure self-service, modernizing your operational model.
meshIQ is built on four core pillars: High-Fidelity Observability (unified end-to-end visibility), Automation & Infrastructure-as-Code (automated scaling, provisioning, and performance tuning), Governance & Financial Stewardship (compliance and cost optimization), and Governed Self-Service (accelerating developer agility safely).
meshIQ provides a unified, single pane of glass for all your major messaging platforms. It normalizes monitoring, governance, and automation across both traditional (IBM MQ) and modern streaming (Apache Kafka, Solace) brokers. This allows centralized teams to manage the entire hybrid ecosystem consistently, eliminating operational silos and ensuring end-to-end message traceability regardless of the broker used.
Yes. meshIQ provides high-fidelity usage data on queue managers and overall infrastructure consumption. This allows organizations to move from rough estimates to data-driven capacity planning, helping to identify underutilized resources, prevent over-provisioning, and ensure accurate reporting for IBM sub-capacity licensing and regulatory audits.
meshIQ provides proactive, intelligent monitoring that goes beyond basic queue depth alerts. It uses advanced analytics to identify subtle performance inhibitors, such as I/O contention or latency spikes, often before they impact transactions. It also enables automation features like dynamic scaling and performance tuning to ensure the system handles peak loads efficiently and reliably.
meshIQ operates on a principle of “Governed Self-Service.” It centralizes security and access control, allowing administrators to define fine-grained, role-based guardrails (e.g., read-only access for developers, restricted provisioning limits for QA). This ensures that while agility is maximized, the integrity of the production environment is always protected.
As an assurance layer, meshIQ integrates non-disruptively with your existing messaging brokers. Deployment time can vary based on the size and complexity of your estate, but key capabilities like unified visibility and core automation can often be rolled out quickly, providing initial insights into hidden costs and operational bottlenecks almost immediately.
Apache Kafka®
An open-source distributed event streaming platform used for high-throughput, real-time data feeds, event-driven architectures, and processing high volumes of data streams.
Business Assurance
The state of guaranteeing that mission-critical transactions, messages, and business processes are executed reliably, compliantly, and efficiently. For meshIQ, it signifies moving beyond basic uptime to total operational and financial integrity.
End-to-End Tracing
The ability to track a single message or transaction as it travels through multiple queues, topics, and different messaging platforms (e.g., from MQ to Kafka), ensuring complete auditability and troubleshooting capability.
Enterprise Messaging
The system of software components (message brokers) used by large organizations to facilitate reliable, asynchronous communication between different applications and services (e.g., payments, order processing, data synchronization).
Governed Self-Service
The practice of securely empowering non-specialist teams (like developers or QA) to manage their own messaging resources (queues, topics, connections) within strict, predefined administrative guardrails, eliminating operational bottlenecks.
High-Fidelity Observability
Providing deep, granular, and unified visibility into the entire messaging infrastructure and individual message flows (end-to-end tracing), necessary for proactive diagnostics and compliance reporting.
Hybrid Messaging
An IT environment that utilizes multiple, often disparate, messaging technologies simultaneously, typically including both traditional brokers (like IBM MQ) and modern streaming platforms (like Apache Kafka or Solace).
IBM MQ
The industry’s “gold standard” message queuing software, used as the reliable, transactional backbone for mission-critical systems in finance, retail, and healthcare.
Infrastructure-as-Code (IaC)
Managing and provisioning the underlying messaging infrastructure (queues, topic definitions, broker configuration) using code and automation tools, rather than manual, ticket-driven processes.
Message Broker
Software that acts as an intermediary, managing, routing, and translating messages between sender and receiver applications, ensuring guaranteed delivery and separation of services.
Messaging Governance
The centralized policies, processes, and controls used to manage the security, compliance, performance, and configuration of a large, complex messaging estate.
Operational Control
The ability to manage, monitor, and automate the messaging estate consistently and centrally, preventing outages, enforcing standards, and ensuring the environment is efficient and compliant.
Solace PubSub+
A robust event mesh platform used to make data instantly available across on-premises systems, private clouds, and public clouds, enabling real-time data movement.
Transactional Integrity
The assurance that a critical business transaction, often composed of multiple messages, is either completed fully and correctly, or entirely rolled back, preventing financial loss or data corruption.