Features of IBM Cloud Logs

Data collection and centralized storage

IBM Cloud Logs integrates with popular logging frameworks and libraries, enabling you to easily transfer your data to IBM Cloud Logs for centralized storage and analysis. You can analyze your data without indexing it,reducing storage cost.

Data transformation and parsing

IBM Cloud Logs automatically parses and structures your observability data. Parsing your data make it easier to search, filter, and analyze.

You can enrich your data with business, operations, or security information, including IP-based geographical information that might not be available at runtime.

You can use metric time series to produce metrics containing information can can be quickly queried.

Querying data

You can extract specific information or insights from your collected logs, metrics, and traces using Lucene, SQL, or the DataPrime query language.

Alerting

You can set up alerts and notifications when querying logs and metrics based on specific conditions or thresholds . These alerts can notify you when predefined events occur or when metrics deviate from normal behavior.

Monitoring

You can monitor your data using Explore. You can also analyze your logs and traces.

Events to Metrics functions can generate metrics from your spans and logs to optimize storage without sacrificing important data. Application performance monitoring (APM) can provide additional observability information.

Visualizations

You can create unlimited, personalized custom dashboards catered to your specific observability needs, or take advantage of pre-built dashboards to help you analyze and visualize log data. Grafana and Kubernetes dashboards are also available.

Compliance and security

Data security and compliance is a IBM Cloud Logs priority. IBM Cloud Logs offers encryption at rest and in transit, access controls, and adheres to industry-standard security practices. IBM Cloud Logs helps businesses meet compliance requirements, such as GDPR and HIPAA, by providing features such as data anonymization and audit logs.

Cost optimization

IBM Cloud Logs provides functions to reduce the total cost of ownership for your observability stack.

Different data is used differently and is used to achieve different goals. With IBM Cloud Logs you pay relative to the value of your data, not the volume.

Data prioritization before storing or indexing data reduces monitoring costs while simultaneously improving system visibility.