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Category: Observability

Blog

ActiveMQ Capacity Planning: The Complete Framework

Most ActiveMQ deployments are sized in one of two ways: either under-provisioned from underestimating growth ("we'll upgrade when we need to") or over-provisioned from anxiety ("better give it 32GB just in case"). Both approaches are avoidable with a structured capacity planning framework that translates your messaging workload characteristics into specific hardware and configuration requirements.

ActiveMQ Capacity Planning: The Complete Framework

Blog

ActiveMQ Backup and Disaster Recovery: Complete DR Guide

A message broker's backup and disaster recovery plan is the last line of defense against scenarios that HA cannot address: a full datacenter outage, catastrophic hardware failure that destroys both primary and secondary nodes, accidental message deletion, or KahaDB corruption that prevents the broker from starting.

ActiveMQ Backup and Disaster Recovery: Complete DR Guide

Blog

Who’s Driving Your Data? How to Regain Control of Your Apache Kafka® Infrastructure

Apache Kafka® often succeeds faster than operational maturity can keep pace. Consumer lag, partition drift, and configuration sprawl create dangerous blind spots. Learn how unified visibility, governance, and automation transform reactive Kafka operations into predictive control.

Who’s Driving Your Data? How to Regain Control of Your Apache Kafka® Infrastructure

Blog

Troubleshooting ActiveMQ Producer Flow Control Blocks

The alert comes in at 2 AM: your order processing service is unresponsive. The application is not crashed, threads are running, the JVM is healthy, but no messages are being sent. Your operations team traces it to a blocked send() call on an ActiveMQ connection. Hours later, after restarting the application, someone finds this line in the broker log from 11 PM the previous day:

Troubleshooting ActiveMQ Producer Flow Control Blocks

Blog

The AI Bottleneck: Why Your Modern Models Are Choking on Legacy and Streaming Data Architecture

Enterprise AI struggles not from inadequate models, but from fragmented data architecture. Critical business data remains trapped in legacy systems or lost in streaming complexity. Success requires bridging the gap between modern intelligence layers and underlying systems of record.

The AI Bottleneck: Why Your Modern Models Are Choking on Legacy and Streaming Data Architecture

Blog

The Silent Killer of IBM MQ®: How One Leaky App Can Crash Your Entire Estate

A single leaky application can crash your entire IBM MQ® estate by consuming OS resources through unclosed connections. Traditional monitoring misses these silent killers. Learn how proactive observability detects OPPROCS anomalies before they trigger infrastructure failures.

The Silent Killer of IBM MQ®: How One Leaky App Can Crash Your Entire Estate
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