Making The Insights For Log Data Simply Accessible

Trevor Parsons

Subscribe to Trevor Parsons: eMailAlertsEmail Alerts
Get Trevor Parsons: homepageHomepage mobileMobile rssRSS facebookFacebook twitterTwitter linkedinLinkedIn

Related Topics: Application Performance Management (APM), DevOps Journal


Python APM Community Pack | @DevOpsSummit #DevOps #APM #Python

The power of log data and the unparalleled role that logs can play in effective end-to-end system monitoring

Introducing Logentries' Python APM Community Pack
by Matt Kiernan

At Logentries, we feel strongly about the power of log data and the unparalleled role that logs can play in effective end-to-end system monitoring. Yet we feel it also important to recognize how other monitoring approaches can further supplement a log monitoring solution to provide even greater, actionable insight into system performance. One such approach is Application Performance Management (APM) and today we're excited to announce our first APM Community Pack.


While log data provides a more comprehensive overview of system health than traditional Application Performance Management, an APM tool can offer insights into an issue's root cause at the code level. Logentries' new APM Community Pack leverages a new extension recently added to our Python librarythat gives developers the ability to calculate important metrics related to any function they choose to measure.

Using the Logentries' new APM Community helps to easily analyze the effect of function execution on overall system performance.
Using the new Pack, developers can do things like identify low performing functions, reveal memory leaks and monitor remaining system resources.

With this new level of insight, developers can spend less time searching for answers and more time writing good, clean code.

The recent APM updates to our Python library also enable users to extend the functionality of the library. For example, a developer could now decide to add network or disk statistics to their logs and measure network load generation by function. Developers could also create a counter to measure the number of method calls over time.

The Logentries Python APM Community Pack is available for free and takes only seconds to install. Visit to get started today.

More Stories By Trevor Parsons

Trevor Parsons is Chief Scientist and Co-founder of Logentries. Trevor has over 10 years experience in enterprise software and, in particular, has specialized in developing enterprise monitoring and performance tools for distributed systems. He is also a research fellow at the Performance Engineering Lab Research Group and was formerly a Scientist at the IBM Center for Advanced Studies. Trevor holds a PhD from University College Dublin, Ireland.