Operations | Monitoring | ITSM | DevOps | Cloud

Most classical, batch-oriented machine learning systems follow the paradigm of “fit and apply”. In an earlier blog post, I discussed a few patterns on how to better organize data pipelines and machine learning workflows in Splunk. In this blog, we’ll review how you can organize your machine learning model in a new way: online learning.

Syslog is an event logging standard that lets almost any device or application send data about status, events, diagnostics, and more. It’s commonly used by network and storage devices to ship observability data to analytics platforms and SIEMs in order to support and secure the enterprise. Syslog is an excellent lightweight protocol to get telemetry from small scale devices.

One of the most important pieces of operating any application stack is making sure you’re aware of the logging events occurring on your running systems. If your development team is like most, then you collaborate with your colleagues using Slack. Being successful while building and operating software includes looking for ways to implement high-visibility operations within your team communication platform.

Splunk embodies the top 5 principles of unified security and observability, and has been an expert in log management, security, and observability for years.