+Though Kubernetes dramatically simplifies application deployment in containers and across clouds, it adds a new set of complexities for managing, securing and troubleshooting applications. Container-based applications are dynamic and they are being designed using microservices, where the number of components is increased by an order of magnitude. To ensure Kubernetes security, it requires self-configuration that is typically specified in code, whether Kubernetes yaml manifests, Helm charts, or templating tools. Properly configuring for workloads, clusters, networks, and infrastructure is crucial for averting issues and limiting the impact if a breach occurs. Dynamic provisioning via Infrastructure as Code (IaC), automated configuration management and orchestration also add to monitoring and troubleshooting complexity. Kubernetes monitoring is critical to managing application performance, service uptime and troubleshooting. Having a good monitoring tool is becoming essential for Kubernetes monitoring. This blog post escribesd how to add a monitoring stack using Prometheus and Grafana to a Kubernetes cluster in HPE GreenLake for Private Cloud Enterprise.
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