The meshIQ blog provides insights into pivotal and disruptive technologies, such as Hybrid Cloud, i2M, Messaging Middleware, AI, blockchain, and more contributed by MeshIQ experts and innovators.
Published October 23, 2024
Maintaining a healthy Kafka cluster is critical to ensuring your real-time data pipelines run smoothly. However, keeping your Kafka environment in tip-top shape isn’t just about setting it up and letting it run. Regular monitoring of key metrics is essential to catch issues before they escalate, optimize performance, and keep everything humming along smoothly.
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 16, 2024
Apache Kafka’s thing is real-time data streaming. But keeping it running at full throttle? That takes more than just spinning up a cluster and hoping for the best. As your environment grows, you’ll need to do some tweaking to make sure Kafka keeps up with the pace.
Published October 14, 2024
Mainframe MQ systems are the lifeblood of many enterprises, managing the messaging that keeps critical applications running smoothly. However, maintaining the health of these systems requires careful oversight, and this is where real-time monitoring comes into play.
Published October 10, 2024
Mainframes are the workhorses of many enterprise systems, known for their reliability and ability to handle high transaction volumes. However, as technology evolves, even these robust systems need upgrades to keep up with modern demands. A smooth mainframe upgrade isn’t just about upgrading the core system; it’s also about ensuring that the surrounding infrastructure, including messaging systems like IBM MQ, functions seamlessly during and after the upgrade.
Published October 9, 2024
Apache Kafka is the go-to solution for companies needing to move data fast and efficiently, but here’s the catch—when you’re handling sensitive data, the stakes are high. One misstep in your security configuration, and you’re not just dealing with a hiccup; you could be looking at full-blown security breaches, unauthorized access, or lost data.
Published October 7, 2024
Kafka’s bread and butter is real-time data streaming, but like any complex system, it can run into performance issues. These problems often sneak up as your cluster scales, leading to bottlenecks, slowdowns, or even crashes if left unchecked.
Published October 2, 2024
If you’ve been working with Kafka long enough, you know its power when it comes to real-time data streaming. But, like any complex system, it comes with its own set of headaches—especially when it comes to partition rebalancing. One day your cluster is humming along, and the next, a rebalance kicks in, and suddenly you’re staring at a bunch of overloaded brokers and bottlenecked data flows.
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.
