The meshIQ blog.
Our blog offers insights into pivotal and disruptive technologies, including Hybrid Cloud, Messaging Middleware, AI, and more, contributed by meshIQ experts and innovators.
Featured.
RabbitMQ
What Is RabbitMQ And How Do You Manage It With Kubernetes?
RabbitMQ is an open source message broker enabling communication and information exchange between systems, applications and services.
Transaction
B2B Flow Intelligence in Transactions: Closing the Gaps That Cost Enterprises Millions
Every enterprise depends on B2B transactions to keep business moving. From purchase orders to payments, they form the unseen network powering global commerce.
RabbitMQ
What Is RabbitMQ And How Do You Manage It With Kubernetes?
RabbitMQ is an open source message broker enabling communication and information exchange between systems, applications and services.
Apache Kafka®, Middleware, Reconciliation
Fixing the Reconciliation Gap: Why Order to Cash Breaks Across Industries and How to Close It
Discover why order-to-cash breaks across industries and how closing the reconciliation gap prevents revenue loss, penalties, and compliance risks.
Apache Kafka®, Data Streaming, Middleware Optimization
Introduction to Apache Kafka® Scaling Challenges
Apache Kafka® has become the go-to platform for organizations handling high-throughput, real-time data streaming. Its ability to manage massive data volumes while ensuring reliability is second to none. However, as businesses grow and demand for data increases, scaling Apache Kafka® isn’t always a walk in the park. It often comes with its own set of
Middleware
Why Enterprise Middleware Teams Need More Than Just Prometheus & Grafana
The Limitations of Prometheus & Grafana for Middleware Teams 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. Dashboards look fine. CPU
Apache Kafka®
Top 10 Changes and Key Improvements in Apache Kafka® 4.0.0
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. 1. Goodbye to ZooKeeper The
Apache Kafka®
Introducing the Middleware Adoption Journey
Understanding How the Most Successful Companies Master Middleware Management Middleware plays a crucial role in modern IT infrastructure by enabling seamless communication between applications, systems, and services. It facilitates data exchange, enhances interoperability, and supports various business functions by providing capabilities like messaging, transaction management, and integration services. Over time, middleware has evolved from simple
Apache Kafka®
Reducing the Costs and Operational Overhead of Apache Kafka® Infrastructures
The Hidden Costs of Apache Kafka® Apache Kafka® is powerful. No doubt about it. But it’s also a beast when it comes to operational complexity and cost. What starts as a simple deployment quickly turns into a resource-hungry system that eats up engineering hours, compute power, and budget. Let’s consider a company that eagerly rolls
Apache Kafka®
Apache Kafka® Scaling Trends for 2025: Optimizations and Strategies
Scaling Apache Kafka® isn’t just about adding nodes or increasing partition counts; it’s about creating an ecosystem that grows with your business demands. As we move into 2025, the focus is shifting from brute force scaling to more nuanced, efficient strategies. Organizations are discovering that throwing resources at Apache Kafka® bottlenecks won’t solve long-term scalability
Apache Kafka®
Configuring Apache Kafka® Brokers for High Resilience and Availability
In a Apache 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 Apache Kafka® brokers to be resilient takes some fine-tuning, but it’s absolutely worth it. Imagine dealing with failovers smoothly or knowing your
Apache Kafka®
Apache Kafka® Cluster Health Checks: Keeping Performance & Reliability in Check
Apache Kafka® clusters don’t just run on autopilot—they need regular health checks to stay stable and efficient. These checks aren’t just for peace of mind; they’re essential for preventing failures, keeping message flow smooth, and avoiding operational chaos. From tracking key metrics to proactive tuning, here’s how to keep your Apache Kafka® cluster in top
MQ
Top 5 Risks of MQ Migration and How to Mitigate Them
When it comes to MQ migration, there’s a lot at stake. MQ migration can bring big improvements in efficiency and functionality, but it’s no small feat to pull off smoothly. Between data loss, unexpected downtime, and compatibility headaches, a migration can turn into a stress test for any team. But the good news is, with