Category: Middleware
Blog
McKinsey Says Agentic Enterprises Need “Automated Guardrails.” Here’s What That Means
McKinsey studied 20 enterprises that created real AI value and found only a few reached Stage 3: Agentic AI enterprise. The deciding capability is automated guardrails built into execution, not bolted on after. Most enterprises are still applying Stage 2 thinking to a Stage 3 problem.
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Why Most Enterprise AI Agent Programs Overspend, and What Actually Fixes It
Enterprise AI agent programs overspend because leaders optimize token costs, which represent just 20-25% of variable run costs. Human oversight accounts for 70-75%. The real fix is reducing exception rates and embedding governance directly into agent execution from the start.
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Modernizing middleware for assurance, economics, and the AI-ready enterprise
Why modernization is no longer optional - and how middleware holds the key to economics, resilience, and intelligent operations.
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Apache ActiveMQ® End of Life: What Enterprises Need to Know
If you have searched for Apache ActiveMQ® end of life, you have probably encountered a wall of conflicting answers: some claiming the broker is dead, others insisting it is fine forever. Both are wrong.
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Apache ActiveMQ Zero-Downtime Maintenance: The Complete Procedures Guide
The broker is processing 8,000 messages per second. There are 340 active client connections. A configuration change is needed: a memoryUsage limit increase to prevent an approaching producer flow control event. The question is not whether to make the change. The question is how to make it without dropping messages, disconnecting clients, or triggering a cascade of client reconnect storms that themselves cause the resource pressure you are trying to resolve.
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Multi-Datacenter Active ActiveMQ® Deployment: Network of Brokers & AMQP
A single-datacenter ActiveMQ deployment, even with full HA, has a fundamental limitation: all message processing is bound to one physical location. Geographic distribution, whether driven by latency requirements (consumers closer to producers), regulatory requirements (data residency), or business continuity requirements (surviving a full site outage), requires a multi-data center deployment.