Connect Syslog & Jupyter

Integrating Syslog into a Jupyter Workflow

strongDM takes access and session logs from Jupyter and sends them to logging tools using standardized messaging protocols like Syslog. strongDM translates these device logs into searchable events to help you gain insight into user activity.

Syslog is a standard message protocol that allows network devices to send messages to a logging server (called a syslog server), making it easier to monitor and review various device logs from multiple machines. strongDM uses standardized messaging protocols like Syslog to send access and session data to a user’s logging tools. Jupyter Notebook is a tool built for collaboration. Teams use Jupyter to share live code, explanatory text, multimedia visualizations, and more within the context of a web page. The strongDM proxy fetches data from a variety of sources, so Jupyter users can collaborate on projects with no interruptions to workflow.

Syslog: Integrating into a Jupyter workflow

Collect logs with Syslog from Jupyter

Use Syslog with Jupyter

Use Syslog and Jupyter

Connect Syslog + Jupyter

Connect Syslog using Jupyter

Free 14-day trial, no credit card required.

Syslog 🤝 Jupyter

To set up one-click access to Syslog and start integrating it into your Jupyter workflow, sign up for a free trial account on strongDM, then visit Logging Tour linked below.

To get started collecting access and session logs with Syslog from Jupyter, sign up for a free trial account on strongDM, then visit Logging Tour linked below.

To get started connecting Syslog and Jupyter, sign up for a free trial account on strongDM, then visit Logging Tour linked below.

Logging Tour

Syslog documentation

Jupyter documentation

Syslog

strongDM uses standardized messaging protocols like Syslog to send access and session data to a user’s logging tools.

Jupyter

The strongDM proxy fetches data from a variety of sources, so Jupyter users can collaborate on projects with no interruptions to workflow.

Jupyter Notebook is a tool built for collaboration. Teams use Jupyter to share live code, explanatory text, multimedia visualizations, and more within the context of a web page.