Logging with LogDNA Overview
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.
Troubleshoot logs in real time to diagnose issues and identify problems.
By using the live streaming tail feature, developers and DevOps teams can diagnose issues, analyze stack traces and exceptions, identify the source of errors, and monitor different log sources through a single view.
Issue alerts to be notified of important actions.
To act promptly on application and services events that you identify as critical or warning, DevOps teams can configure alert notification integrations to the following systems: email, Slack, webHook, and PagerDuty.
Export logs to a local file for analysis or to an archive service to meet auditing requirements.
Export specific log lines to a local copy or archive logs from LogDNA to IBM Cloud Object Storage. Log lines are exported in JSON line format. Logs are archived in JSON format and preserve the metadata that is associated with each line.
Control logging infrastructure costs by customizing what logs to manage through LogDNA.
Control the cost of your logging infrastructure in the IBM Cloud by configuring the log sources for which you want to collect and manage logs.
|Install LogDNA agent on IBM Kubernetes Service (IKS)||LogDNA with IKS|
|Install LogDNA agent on RedHat OpenShift||LogDNA with OpenShift|
|Install LogDNA agent on minikube||LogDNA with minikube|
|Using LogDNA Dashboard||LogDNA Dashboards|
|Alerts with LogDNA||Alerts with LogDNA|
|JSON logs with LogDNA||JSON logs with LogDNA|