Knative Log Analysis With LogDNA on IBM Cloud

In this post, you will learn how to use the IBM Log Analysis with LogDNA service to configure cluster-level logging for an app named "Knative-node-app" published in IBM Cloud Kubernetes Service. Refer to this post to set up a Node.js app.

IBM Log Analysis with LogDNA offers administrators, DevOps teams, and developers advanced features to filter, search, and tail log data, define alerts, and design custom views to monitor application and system logs.

From the moment you provision a cluster with IBM Cloud Kubernetes Service, you want to know what is happening inside the cluster. You need to access logs to troubleshoot problems and pre-empt issues. At any time, you want to have access to different types of logs such as worker logs, pod logs, app logs, or network logs. In addition, you want to monitor different sources of log data in your Kubernetes cluster. Therefore, your ability to manage and access log records from any of these sources is critical. Your success in managing and monitoring logs depends on how you configure the logging capabilities for your Kubernetes platform.