Kubernetes workloads are highly dynamic, ephemeral, and are deployed on a distributed and agile infrastructure. As a result, faster troubleshooting Kubernetes workload is challenging. Teams require better visibility, the contextual information of their different microservices, their dependencies, how they are interconnected, and which other clients and applications access them.In this session we will walk you through the must-have steps to do faster troubleshooting:
– Live view of communication between namespaces, microservices, and deployments.
– Leverage contextual and correlated data to determine root cause for application connectivity.
– Kubernetes-native way to capture packets from a specific pod or collection of pods with specified packet sizes and duration
– Preview, stage and deploy the solution
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