Scaling Kafka? Learn How To Avoid Costly Mistakes! Download Our Whitepaper
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Published November 11, 2024

Let’s be honest: setting up Kafka monitoring on Kubernetes can feel like you’re trying to solve a puzzle without all the pieces in place. Between connectivity snags, configuration issues, and keeping tabs on resource usage, it’s easy to feel like you’re constantly firefighting.

Troubleshooting Kafka Monitoring Setup in Kubernetes
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Published October 28, 2024

In mainframe environments, where workloads are high and demands on reliability are even higher, tuning MQ systems isn’t just beneficial—it’s essential. When MQ systems are optimized, your organization can maintain faster, more reliable message processing, handle greater transaction volumes, and ultimately keep up with today’s demands.

Best Practices for Tuning MQ Systems in Mainframe Environments
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Published March 16, 2021

Wednesday, April 7, 2021, 1 p.m. ET

Many enterprises are adopting OpenShift in their journey to building and running containerized workloads in on-premise, cloud-based or hybrid environments. These initiatives leverage multiple application integration technologies, such as IBM MQ, Apache Kafka, or Tibco EMS.

Mastering Application Integration Challenges in Hybrid Cloud Environments
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Published June 2, 2020

I recently had a technical problem to solve that had me stumped. My first reflex was to read the available documentation, hoping to find an answer. I didn't find what I was looking for.

You Don't Have Time To Build A Rocket Ship
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Published May 29, 2020

If you are interested in multi-middleware message flow tracking, this video may be the best 5 minutes you have spent in a very long time!

 
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Scott Corrigan from Nastel Technologies walks you through how to use Nastel’s XRay solution to view and analyze the performance of end-to-end transactions that span multiple middleware technologies (in the example you are interested in multi-middleware message flow tracking, this video may be the best 5 minutes you have spent in a very long time!le he shows an example using IBM MQ, Kafka and Java apps).

DevOps’ Problem with Speed-to-Market Explained: IBM MQ, Multi-Middleware Role in Deploying New Applications & Updates

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