Leading Automotive OEM Achieves Real-Time Monitoring With Zero Latency
A leading Korean automotive OEM needed to support their Connected Vehicle program with a highly available and performant microservices architecture (MSA).
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meshIQ delivers granular access controls to manage configurations across the MESH to reduce downtime and quick recovery from outages.
Provides the ability to find, browse, track, and trace messages to detect bottlenecks and speeding up root-cause analysis.
Unlocks the integration blackbox to deliver visibility across the MESH infrastructure to visualize, analyze, report, and predict.
Delivers the ability to trigger automated actions based on pre-defined criteria or intelligent actions determined by AI/ML.
Customers include some of the world’s largest banks, financial service companies, insurance providers, retail chains, transportation, and manufacturing companies.
A leading Korean automotive OEM needed to support their Connected Vehicle program with a highly available and performant microservices architecture (MSA).
A leading credit card company needed to support their integrated transaction hub, real-time digital marketing program, and customer payment platform on a Kafka-supported microservices architecture.
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.
Kafka is great for handling data at scale, but to get the most out of it, you need to do a little fine-tuning.
Apache Kafka’s thing is real-time data streaming. But keeping it running at full throttle? That takes more than just spinning up a cluster and hoping for the best.
Mainframe MQ systems are the lifeblood of many enterprises, managing the messaging that keeps critical applications running smoothly. However, maintaining the health of these systems requires careful oversight, and this is where real-time monitoring comes into play.
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