Update Blog “set-up-apache-skywalking-for-k8s-monitoring-in-hpe-greenlake-for-private-cloud-enterprise”

Author: GuopingJia

content/blog/set-up-apache-skywalking-for-k8s-monitoring-in-hpe-greenlake-for-private-cloud-enterprise.md

@@ -9,11 +9,17 @@ tags:
   - hpe-greenlake, hpe-greenlake-for-private-cloud-enterprise, Kubernetes,
     application performance monitoring, Apache SkyWalking
 ---
-## Introduction
+## Why is Kubernetes monitoring so important?
 
 [HPE GreenLake for Private Cloud Enterprise](https://www.hpe.com/us/en/greenlake/private-cloud-enterprise.html) delivers a modern private cloud to support your app workloads running in any combination across your edges, colocations, and data centers. It contains one HPE service, called [HPE GreenLake for Private Cloud Enterprise: Containers](https://www.hpe.com/us/en/greenlake/containers.html), which provides an enterprise-grade container management service using open source Kubernetes. It allows customers to create a Kubernetes cluster, view details about existing clusters, and launch the service console. 
 
-Since Kubernetes is widely used for processing customer workloads, the non-availability of both workloads and the cluster itself, from misconfiguration of core components to network connectivity issues in Kubernetes, can adversely impact productivity, business continuity and user experience. To avoid this, enterprises must closely monitor the status of the objects managed and operations performed by Kubernetes, proactively capture abnormalities, and resolve them well before end-users notice. 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, automated configuration management and orchestration also add to monitoring and troubleshooting complexity. Kubernetes monitoring is critical to managing application performance, service uptime and troubleshooting. However, it presents a challenge for a traditional, static monitoring approach, emphasizing the need for real time monitoring. Having a good application performance monitoring (APM) tool is becoming essential for Kubernetes monitoring.  
+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, automated configuration management and orchestration also add to monitoring and troubleshooting complexity.
+
+Since Kubernetes is widely used for processing customer workloads, the non-availability of both workloads and the cluster itself, from misconfiguration of core components to network connectivity issues in Kubernetes, can adversely impact productivity, business continuity and user experience. To avoid this, enterprises must closely monitor the status of the objects managed and operations performed by Kubernetes, proactively capture abnormalities, and resolve them well before end-users notice.
+
+Kubernetes monitoring is critical to managing application performance, service uptime and troubleshooting. However, it presents a challenge for a traditional, static monitoring approach, emphasizing the need for real time monitoring. Having a good application performance monitoring (APM) tool is becoming essential for Kubernetes monitoring.  
 
 In [my first blog post](https://developer.hpe.com/blog/get-started-with-application-performance-monitoring-tools-overview/), I walked through some of the best APM tools, described their key features and discussed their strengths and weaknesses in detail. In this blog post, I choose one APM tool,  *Apache SkyWalking*, and describe in detail how to set it up in HPE GreenLake for Private Cloud Enterprise for monitoring a Kubernetes cluster.