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.
Managing a Kafka cluster is no small feat. While Kafka’s distributed messaging system is incredibly powerful, keeping it running smoothly takes careful planning and a keen eye on the details.
When it comes to modernizing MQ systems, finding the right balance between performance and cost can feel like walking a tightrope.
Keeping a Kafka cluster optimized can feel like a balancing act. Every piece—brokers, partitions, producers, and consumers—has to work in harmony, or you’ll start running into bottlenecks.
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