Category: Middleware Optimization
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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.
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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.
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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.
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Apache ActiveMQ® vs Apache Artemis™: The 2026 Definitive Guide
When engineers search for "Apache ActiveMQ vs Apache Artemis," most of what they find is either a shallow feature checklist or a confident recommendation to "just migrate to Apache Artemis." Neither helps a senior architect deciding whether to stay on a stable, battle-hardened Apache ActiveMQ deployment, or a platform team evaluating both options for a new system with clear eyes.
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The Modern Messaging Primer: Navigating the Shift from Legacy Middleware to Open Source Innovation
The shift from legacy middleware to open-source innovation promises agility and cost savings, but introduces the 'Modernization Tax'—operational complexity that requires new approaches to observability, governance, and management across hybrid messaging environments.
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The Art of Scaling: How to Determine the Right Number of Apache Kafka® Partitions
Apache Kafka® partition count isn't just a number—it defines parallelism, ordering, and operational complexity. Learn the formula to balance throughput requirements with maintenance costs, avoid common anti-patterns, and find your 'Goldilocks' number for production-ready performance.