Modern apps trigger thousands or even millions of transactions per day and each transaction triggered follows a very complex path passing through the different integration platforms. Any one of these platforms can impact the performance and ultimate success of the transaction. Both developers and administrators would like to see how their transactions are performing and be aware of bottlenecks in the chain.
Application developers may have limited visibility into integration topologies. By gaining a complete understanding of the data topologies, developers and admins can visualize end-to-end transaction flows and pin-point problems quickly. Additionally, they can ingest data to generate long term trends and use AI/ML to predict performance bottlenecks and outages.
Take a deep dive into your data with our intuitive, English-like query language. Effortlessly transform these queries into visual representations that illustrate the dynamics and patterns of your data as it flows through your application stack.
meshIQ’s middleware tracking platform scales with your apps. As the applications grow and process higher transaction volumes, our solution provides vertical and horizontal scaling to manage high transaction volumes. The clustered architecture ensures elastic scalability, enabling dynamic workload tracking.
Our requirements are tough and our expectations are very high. meshIQ has worked hard to deliver what we needed especially for our most market critical and highly exposed business applications.
Industry: Banking
The retailer faced numerous challenges including a small pool of administrators coupled with a continually shrinking budget, and a lack of expertise in maintaining their stable mainframe.