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 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 30, 2024
Ah, Kafka—the powerhouse behind real-time data streaming in today’s world. It’s efficient, scalable, and handles vast amounts of data with ease. But with great power comes great responsibility, right? And in 2024, with cyber threats more sophisticated than ever, securing your Kafka environment is no longer just a good idea—it’s non-negotiable.
If you’re using Kafka to manage mission-critical systems, securing your data pipelines should be at the top of your to-do list.
Published September 26, 2024
Kafka brokers are the backbone of your data streaming architecture. They’re responsible for storing, distributing, and managing large amounts of data in real-time. As your Kafka cluster scales, keeping those brokers healthy, optimized, and resilient becomes more critical than ever.
Published September 25, 2024
Handling real-time data at scale? Apache Kafka is likely at the heart of your system. It’s robust, fast, and highly reliable. But as Kafka clusters grow, so does the complexity of maintaining balanced workloads across brokers and partitions.
Published September 23, 2024
Apache Kafka plays a critical role in financial services by providing a robust, scalable, and real-time data streaming platform. The financial industry relies heavily on processing vast amounts of data quickly and reliably, and Kafka’s capabilities are well-suited for this environment.
Published September 19, 2024
Running Apache Kafka in production? You know monitoring is a must. But with all those metrics coming at you, it’s easy to get lost in the weeds. After a while, you start to figure out that monitoring everything isn’t really worth it.
Published September 18, 2024
Kafka can ingest real-time traffic data, vehicle positions, and road conditions, process this data using Kafka Streams, and then publish optimized routes back to the vehicles. If traffic conditions change, Kafka can instantly process the new data and update the routes accordingly.
Apache Kafka can be an essential component in optimizing fleet tracking by providing a scalable, reliable, and real-time data processing platform.
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 14, 2024
High availability is frequently discussed but often misunderstood—especially when dealing with hybrid cloud and mainframe environments. Ensuring high availability in MQ monitoring across these environments requires a comprehensive strategy, careful planning, and sometimes, a bit of trial and error.
Published September 12, 2024
Mainframe MQ systems are like the unsung heroes of enterprise tech. They quietly keep critical business functions running smoothly, but they don’t always get the attention they deserve—until something slows down or, worse, grinds to a halt.
