The meshIQ blog.
Our blog offers insights into pivotal and disruptive technologies, including Hybrid Cloud, Messaging Middleware, AI, and more, contributed by meshIQ experts and innovators.
Featured.
AIOps, Messaging, Middleware Optimization, Observability, Streaming
Modernizing Middleware for the AI Era
As AI adoption accelerates, middleware complexity intensifies. In this discussion with meshIQ CEO Navdeep Sidhu, discover why governance—not speed—has become the defining factor for enterprise success, and why fragmented middleware environments can no longer be ignored in the AI era.
Apache ActiveMQ®, Middleware Optimization, Monitoring
ActiveMQ Message Persistence: KahaDB, Artemis Journal & JDBC
Every persistent message in ActiveMQ must survive a broker restart. That guarantee is the contract behind DeliveryMode.PERSISTENT is what separates a messaging system from a memory buffer. It is also what makes message persistence configuration the most consequential decision in ActiveMQ architecture.
Apache ActiveMQ®, Middleware Optimization
ActiveMQ on Kubernetes: Production Deployment Guide
Kubernetes is now the default deployment substrate for most enterprise platform teams. But ActiveMQ on Kubernetes presents a specific challenge that pure stateless workloads do not: message brokers are stateful.
Apache ActiveMQ®, Middleware Optimization, Monitoring, MQ
ActiveMQ Monitoring & Alerting Setup: The Complete 2026 Guide
Most ActiveMQ outages are not sudden failures. They are visible in the metrics for minutes, sometimes hours, before they become incidents. A memory usage graph climbing past 60%. A queue depth that isn’t draining. An enqueue time that doubled after a deployment. A consumer count that dropped from 3 to 1 at 2 AM.
AIOps, Integration, meshIQ, Middleware, Middleware Optimization, Observability
Navigating the Middleware Maze: How meshIQ 12.1 Redefines Scale and Simplicity with Agentic AI
meshIQ v12.1 transforms middleware management with petabyte-scale data processing and agentic AI. The new intelligent launchpad, simplified onboarding, and context-aware safeguards move teams from reactive monitoring to proactive, AI-driven operations across the enterprise.
Apache ActiveMQ®, Middleware Optimization, Monitoring, MQ
ActiveMQ JMS 2.0 Implementation Guide: Simplified API, Transactions & Spring
For most of JMS’s lifetime, writing a simple producer required creating a ConnectionFactory, creating a Connection, starting it, creating a Session, creating a MessageProducer, creating a Message, calling send(), and then closing the producer, session, and connection with the close calls safely wrapped in finally blocks to prevent resource leaks. Every developer knew the pattern. Every developer wrote it slightly differently. Every code review had the same comments about resource management.
Apache ActiveMQ®, Middleware Optimization, Monitoring, MQ
ActiveMQ Security Hardening: TLS, JAAS, LDAP & CVE Patch Guide
In October 2023, security researchers published CVE-2023-46604, a CVSS 10.0 remote code execution vulnerability in Apache ActiveMQ. Within days, it was being actively exploited in ransomware campaigns. The attack required nothing more than network access to port 61616. No authentication, no credentials, no social engineering. The attacker connected to the standard ActiveMQ port and executed arbitrary code on the server.
Apache ActiveMQ®, Middleware Optimization, Observability, SaaS
ActiveMQ Slow Consumer: Detection, Strategy & Prevention Guide
One of the most counterintuitive failure modes in enterprise ActiveMQ deployments is this: a single application team deploys a new consumer for a high-volume market data topic. Their consumer is slow, maybe they added a database write on every message, or their processing thread pool is undersized.
Apache ActiveMQ®, Middleware Optimization
ActiveMQ MQTT Protocol Setup Guide: QoS, SSL, and IoT Scale
Modern enterprise architectures increasingly need to bridge the gap between resource-constrained IoT devices and heavyweight enterprise backend systems. ActiveMQ MQTT support makes this possible: devices running the MQTT protocol – sensors, actuators, edge nodes, publish telemetry on standard topics, while JMS-based backend services consume and process the data without any client-code changes.
Apache ActiveMQ®, Devops, Messaging, Middleware Optimization
ActiveMQ Network of Brokers: The Complete Configuration Guide
Distributed enterprise applications eventually need to exchange messages across network boundaries – between datacenters, between application tiers, between geographic regions. A single broker cannot serve all of them efficiently.
Apache ActiveMQ®, Middleware Optimization
Apache ActiveMQ® High Availability: Fix the #1 HA Design Mistake
The most common Apache ActiveMQ high availability mistake is not a configuration error; it is a false assumption. Teams deploy two broker instances, point clients at both with a comma-separated URL, and label the topology “HA.” Then the primary crashes, the secondary does not have the message state, and clients start throwing exceptions while the ops team scrambles.
Apache ActiveMQ®, Middleware Optimization
ActiveMQ Performance Tuning: A Guide to 10x Throughput
Every team running Apache ActiveMQ in production eventually hits the same conversation: throughput is lower than expected, latency is inconsistent, or producers are getting blocked without an obvious reason. The broker logs show flow control events. Queue depth is climbing.
Apache ActiveMQ®, Devops
ActiveMQ Dead Letter Queue (DLQ) Management: The Complete Guide
If your Apache ActiveMQ deployment has a growing ActiveMQ.DLQ, you are not alone, and you are looking at the right problem. An unbounded, unmonitored dead letter queue is one of the most common root causes of “invisible” message loss in enterprise messaging environments. DLQ messages land without fanfare, nobody notices, and business-critical data quietly disappears from the processing pipeline.