Published September 5, 2024
Deploying Kafka on Kubernetes can feel like a game-changer—mixing the powerful message streaming capabilities of Kafka with the flexible, scalable orchestration of Kubernetes. It sounds like a match made in heaven, right? Well, not so fast. While running Kafka on Kubernetes has some fantastic benefits, it also comes with its own set of challenges.
Published August 29, 2024
If you've ever worked with Apache Kafka, you know that it's a powerful tool, but it can also be a bit finicky. Things can go wrong, and when they do, it’s important to know how to troubleshoot and resolve those issues quickly.
Published August 28, 2024
You ever get that nagging feeling that maybe, just maybe, you’ve missed something crucial in a project? When it comes to deploying Apache Kafka, that “something” often turns out to be security. I’ve been there myself, thinking everything was running smoothly, only to realize later that I’d left the door wide open for potential security issues.
Published August 26, 2024
Kafka is a beast when it comes to handling real-time data streams, but like any powerful tool, it needs to be fine-tuned to really shine. I’ve spent more time than I’d like to admit tweaking Kafka configurations, trying to squeeze every last drop of performance out of it.
Published August 15, 2024
Monitoring and Observability of messaging and middleware has and will continue to be a function of increasing importance and this is especially true for organizations in the Financial Services industry. In the financial services industry, observability refers to the ability to monitor, measure, and analyze the performance, health, and security of financial systems, applications, messaging and middleware which power long running processes in real-time.
Published July 10, 2024
Kafka is a powerful event streaming technology that is relatively easy to set up but can become extremely complicated to scale, especially without significant maintenance tasks. Any Kafka manager requires a robust Kafka management tool to efficiently operate, monitor, and maintain a Kafka cluster, especially in production environments.
Published April 2, 2024
Monitoring Azure Service Bus (SB) comes with its own set of challenges, primarily due to the distributed nature of the service and the complexities involved in message processing and delivery. Some of the most common challenges associated with monitoring Azure SB include:
Message Flow Monitoring: Tracking the flow of messages through various queues or topics, including understanding where bottlenecks might occur or where messages might be delayed.
Latency Monitoring: Ensuring that messages are being processed within acceptable time frames.
