Published October 21, 2024
Mainframe systems may be the workhorses of many enterprises, but let’s face it, modernization is long overdue for most organizations. With decades-old infrastructure running mission-critical workloads, updating these systems isn’t just about keeping up with the times—it’s about ensuring that your business remains agile, competitive, and efficient.
Published October 17, 2024
Kafka is great at handling data at scale, but to get the most out of it, you need to do a little fine-tuning. Think of it like having a high-performance car—yeah, it runs out of the box, but a few tweaks under the hood can really make it fly.
Published October 2, 2024
Mainframes. Just the word alone can conjure up images of massive, humming machines sitting in a data center, quietly running the backbone of your business. These systems have been around for decades, rock-solid and dependable, but let’s be honest—they’re not exactly built for the speed and flexibility of today’s tech world.
Published September 26, 2024
Kafka brokers are the backbone of your data streaming architecture. They handle storage, data distribution, and real-time management across vast amounts of information. As your Kafka cluster scales, ensuring your brokers remain optimized and resilient isn’t just important—it’s critical.
Published September 17, 2024
Kafka is a beast when it comes to handling data streams at scale. But when your Kafka setup grows into a massive cluster, keeping it running smooth? Yeah, that can feel like trying to tame a tornado.
Published September 5, 2024
When it comes to mainframe performance, MQ tuning is often one of the most underrated aspects. We’ve seen firsthand how it can make a significant difference in system performance. In one of our projects, a mainframe environment was struggling to keep up with the load.
Published September 4, 2024
Integrating MQ monitoring into a newly modernized mainframe environment isn’t something you can just wing. We’ve worked on projects where it seemed straightforward at first—just plug in some monitoring tools and you’re good to go, right? Not quite.
Published August 1, 2024
In today's dynamic IT landscape, effective monitoring of application servers (app servers) is crucial to ensure optimal performance, security, and user satisfaction. Monitoring tools help in identifying potential issues before they become critical, allowing for proactive management and maintenance.
Published June 13, 2024
Apache Kafka seems easy at first. It quickly becomes the backbone of your data streaming strategy, making life smooth and simple. But as you grow, Kafka can become complicated quickly. One of the biggest headaches you'll face is partition rebalancing between your brokers.
Let's dive into why it matters, and how to fix it.
Partitions help Kafka divide and conquer data, spreading messages evenly across brokers.
Published October 11, 2023
Distributed transaction tracing (DTT) is a way of following the progress of message requests as they permeate through distributed cloud environments. Tracing the transactions as they make their way through many different layers of the application stack, such as from Kafka to ActiveMQ to MQ or any similar platform, is achieved by tagging the message request with a unique identifier that allows it to be followed.
