Confluent Message Browser vs. Infrared360: Two Protobuf Inspection Workflows This is Part 4 of a 5-part series exploring The Protobuf Visibility Gap in Kafka Operations | Previous Article | Next Article A useful product comparison starts by acknowledging the overlap. Confluent Cloud's message browser and Confluent Platform Control Center can display, filter, validate, download, and [...]
A practical evaluation guide for MQ engineers comparing monitoring and administration platforms If you are evaluating an IBM MQ monitoring and administration solution, you probably do not need another tool that only displays queue depth. You need a faster and safer way to see what is happening across the MQ estate, investigate incidents, [...]
Why Risk and Operations Teams Inspect Business Values Inside Kafka Records This is Part 3 of a 5-part series exploring The Protobuf Visibility Gap in Kafka Operations | Previous Article | Next Article A risk or operations team does not inspect Kafka message content merely because the technology makes it possible. The team inspects content [...]
IBM MQ Appliance M2004: What MQ Teams Should Know About the New Release IBM has announced the IBM MQ Appliance M2004, a new hardware model designed to support higher messaging performance, modern memory architecture, and expanded network connectivity for enterprise MQ environments. [1] For MQ teams managing high-volume messaging, business-critical workloads, and resilient infrastructure, this [...]
Kafka Monitoring Can Show the Symptom. Protobuf Record Inspection Can Reveal the Cause This is Part 2 of a 5-part series exploring The Protobuf Visibility Gap in Kafka Operations | Previous Article | Next Article Kafka operations teams depend on monitoring because distributed streaming systems can fail in many ways. Brokers can become unavailable, partitions [...]
Middleware Performance: What Experienced Teams Monitor, Manage, and Automate Middleware performance testing is the practice of validating how messaging and integration infrastructure behaves under realistic transaction patterns—not just whether a queue manager, broker, channel, or application endpoint is technically “up.” IBM’s documentation on monitoring your IBM MQ network emphasizes the value of gathering statistics [...]
Protobuf Visibility Without Schema Registry: A More Flexible Way to Inspect Kafka Records This is Part 1 of a 5-part series exploring The Protobuf Visibility Gap in Kafka Operations | Next Article Protocol Buffers, usually called Protobuf, give development teams an efficient way to serialize structured data. A .proto file defines the fields, types, [...]
Secure MQ Administration: Why MQ Monitoring Alone Isn’t Enough For enterprise IT leaders, IBM MQ is often one of the most critical layers in the technology stack. It moves high-value transactions, connects core systems, and supports applications that the business cannot afford to interrupt. That is why secure MQ administration requires more than another [...]
IBM MQ Configuration Drift: How to Detect and Prevent It with Infrared360 Configuration drift happens when IBM MQ queue managers, queues, channels, listeners, security records, or other object definitions no longer match the approved baseline. In IBM MQ environments, configuration drift can create operational risk, security exposure, compliance gaps, and avoidable troubleshooting work. A queue [...]
Middleware Performance: What Experienced Teams Monitor, Manage, and Automate Middleware performance is not just about whether servers are up or whether an application appears available. For teams responsible for IBM MQ, ActiveMQ, Kafka, IBM App Connect Enterprise, application servers, and related integration infrastructure, middleware performance is about whether messages, events, transactions, and dependent services [...]
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