Install IBM Log Analysis and start seeing your logs in under two minutes. Whether you wish to send logs via Kubernetes, Code libraries, OS agents, or syslog we have hundreds of custom integrations and are adding more each month.
Our integrations are meant to be hassle free, and our backend services will automatically detect, parse, and index all log types.
By using IBM Log Analysis' streaming “live tail”, 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. This feature is available through the command line and through the web interface.
Automatically parse and index all log types and formats that are ingested. IBM Log Analysis can intelligently detects log types, parse them to display beautifully, and more importantly index them in a way that makes keyword search fast and easy to use. Custom parsing rules can be configured for any proprietary formats as well.
Use simple to use keyword based search to search across your logs instead of fiddling with custom query languages. Apply the same keyword search to build beautiful time series graphs instantly.
Act promptly on application and service logs that you identify as critical. IBM Log Analysis users can configure multi-channel alert notifications based on pattern matching to a variety of direct integrations such as email, Slack, PagerDuty, Opsgenie, VictorOps or your own custom webhooks.
From Kubernetes, syslog, or code libraries, to REST API, we support over 30+ integrations to ingest log data. We look to provide the easiest and fastest integration to your any and all of your log sources.
Introduction to IBM Log Analysis