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.
Published September 5, 2024
When it comes to mainframe performance, MQ tuning is often one of the most underrated aspects. We’ve seen firsthand how it can make a significant difference in system performance. In one of our projects, a mainframe environment was struggling to keep up with the load.
Published September 4, 2024
Integrating MQ monitoring into a newly modernized mainframe environment isn’t something you can just wing. We’ve worked on projects where it seemed straightforward at first—just plug in some monitoring tools and you’re good to go, right? Not quite.
Published June 13, 2024
Apache Kafka seems easy at first. It quickly becomes the backbone of your data streaming strategy, making life smooth and simple. But as you grow, Kafka can become complicated quickly. One of the biggest headaches you'll face is partition rebalancing between your brokers.
Let's dive into why it matters, and how to fix it.
Partitions help Kafka divide and conquer data, spreading messages evenly across brokers.
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.
Published March 26, 2024
In the ever-evolving landscape of financial services, institutions are under constant pressure to ensure their messaging infrastructures comply with a myriad of global regulatory requirements. Compliance with regulations such as the General Data Protection Regulation (GDPR), the Payment Services Directive 2 (PSD2), and other localized financial regulations is not just a legal necessity but a cornerstone for maintaining trust and integrity in the financial sector.
Published March 18, 2024
In today's digital landscape, the performance and reliability of messaging systems are paramount for business operations. Systems like IBM MQ play a crucial role in ensuring seamless communication between different parts of an application, impacting everything from transaction processing to customer experiences.
Published October 11, 2023
Distributed transaction tracing (DTT) is a way of following the progress of message requests as they permeate through distributed cloud environments. Tracing the transactions as they make their way through many different layers of the application stack, such as from Kafka to ActiveMQ to MQ or any similar platform, is achieved by tagging the message request with a unique identifier that allows it to be followed.
Published September 6, 2023
In today’s rapidly evolving technological and business landscapes, staying competitive requires more than just a great product or service. It demands a technological edge that can drive efficiency, innovation, and overall growth. This is where partnering comes into play - it’s like turbocharging your business engine.
