Published April 30, 2025
Let’s be real, Prometheus and Grafana are great tools. They’ve earned their place in enterprise IT by offering solid infrastructure monitoring and visualization. But in complex, multi-middleware environments, these tools hit their limits.
Picture this: a business-critical transaction is delayed or missing.
Published March 26, 2025
In this post, we summarize the major changes in the recently officially released Apache Kafka 4.0.0 version. We will look at the most notable features compared to the previous versions and explain what these changes mean in real production environments and what improvements they can bring to your streaming infrastructure.
Published November 20, 2024
In a Kafka setup, high availability isn’t just nice to have—it’s a lifeline. Downtime, data loss, or hiccups in message flow can make or break critical applications. Let’s be real: setting up Kafka brokers to be resilient takes some fine-tuning, but it’s absolutely worth it.
Published November 6, 2024
Managing a Kafka cluster is no small feat. While Kafka’s distributed messaging system is incredibly powerful, keeping it running smoothly takes careful planning and a keen eye on the details. Small mistakes in Kafka management can quickly add up, leading to bottlenecks, unexpected downtime, and overall reduced performance.
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 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 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.
Sound familiar?
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 July 27, 2023
Most companies in today’s business landscape that deal with large amounts of data want to integrate their applications so that they can pass data between them seamlessly and easily. Being able to ensure that you can see exactly what is happening at every stage of the process is key, and this is where approaching the process with observability in mind can make a real difference.
Published June 16, 2023
When businesses look at how best to understand the performance levels of their platforms, some of the best incident management metrics to look at are Mean Time Between Failures (MTBF) and Mean Time To Resolution (MTTR). These two measurements will give an excellent indication of the health and speed of the system, as well as the ability of the platform to take care of any anomalies that have been detected or to flag them up for others to take action to resolve them.
