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Monitoring Microservices & Containers at Scale on OpenShift with CA APM
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Alexander Martens, Senior Presales Consultant for Application Performance Management at CA Technologies, shows in this recorded live demo how to monitor microservices that are running in containers (pods) on OpenShift.
Today’s growing demand for modern, cloud-native application architectures like microservices is changing the rules of the game. These applications run on dozens to thousands of small, interconnected services, each serving a single purpose, which are meant to be deployed and scaled often and independently. Such highly dynamic, distributed systems have always come with a premium; with greater complexity comes an increased likelihood of failures.
In this briefing, we will explain how to efficiently tackle the complexities of microservice architectures in Continuous Delivery and perform root-cause analysis once in production in seconds, instead of weeks, with CA APM on OpenShift.
Today’s growing demand for modern, cloud-native application architectures like microservices is changing the rules of the game. These applications run on dozens to thousands of small, interconnected services, each serving a single purpose, which are meant to be deployed and scaled often and independently. Such highly dynamic, distributed systems have always come with a premium; with greater complexity comes an increased likelihood of failures.
In this briefing, we will explain how to efficiently tackle the complexities of microservice architectures in Continuous Delivery and perform root-cause analysis once in production in seconds, instead of weeks, with CA APM on OpenShift.
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