Learn about meshIQ Kafka Console Our Cost Effective Solution for Robust Kafka Management
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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.

Overcoming Azure Service Bus Monitoring Challenges 
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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.

Strategies for Ensuring Compliance in Financial Messaging
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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.

Optimizing Performance and Reliability in Messaging Systems
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Published December 13, 2023

You probably have seen ads where someone claims that their app can save you money by finding subscriptions you forgot about. I have a hard time imaging someone with $100s of dollars of expenses they forgot about, but I have had the occasional one that was missed.

Lessons Learned from Managing Kafka Costs
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Published November 15, 2023

There was a time not too long ago, before the cloud was a part of every enterprise technology conversation, when integration work was considered the purview of a specific architecture and engineering group.

If messages failed to send, or services failed to respond, application stakeholders would create a trouble ticket for the integration team to address.

How a Modern Integration MESH Changes our Roles and Responsibilities
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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.

Delivering Distributed Transaction Tracing Across Integration MESH
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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.

meshIQ – Seeking Partners to Deliver Observability Across Integration MESH
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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.

3 Reasons to Prioritize Observability as part of Application Integration Strategy
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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.

Improve MTBF and MTTR for your Application Platforms by using MESH Observability
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Published March 27, 2023

The last decade has been nothing but a roller coaster ride for the airline industry. The pandemic has transformed it forever and now it needs to reevaluate its digital transformation priorities on how to manage traveler expectations. Taking it a step further, travelers buying behavior is changing farther as now they will want to book tickets while chatting with an AI interface.

Airlines aiming to transform need modern Observability.