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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.
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Published February 22, 2023

Earlier this month, we announced a rebrand to meshIQ and in this blog we will highlight the reasons behind the rebrand and what you can expect going forward.

Nastel has been at the forefront of some major technological innovations in the middleware messaging management sphere.

meshIQ
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Published January 3, 2023

Integration is a fundamental part of any IT infrastructure. It allows organizations to connect different systems and applications together in order to share data and information. As organizations become more complex and interconnected, they need to ensure they have complete observability and monitoring of their integration architecture.

Complete observability & monitoring of your integration infrastructure
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Published December 16, 2022

Observability is a term that has gained a lot of traction in recent years, particularly in the realm of software engineering and DevOps. At its core, observability refers to the ability to gain insight into the internal workings of a system by observing its external outputs.

The Five Myths of Observability
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Published December 15, 2022

Observability tools have traditionally focused on capturing and analyzing log data to improve application performance monitoring and security.

Data observability turns the focus back on the data to improve data quality, tune data infrastructure and identify problems in data engineering pipelines and processes.

The Benefits of Data Observability