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Machine Learning Authors: Yeshim Deniz, Pat Romanski, Liz McMillan, Elizabeth White, Corey Roth

Related Topics: @ThingsExpo, Java IoT, Microservices Expo, Linux Containers, @CloudExpo, @DXWorldExpo, @DevOpsSummit

@ThingsExpo: Blog Post

Spotting Anomalies When Things Are Calm

Watching for blind spots

Monitoring application performance on the surface and the currents below is a great way to build a performance baseline and provide application fluency. Ironically, the deep dive tools sets in place today still may not provide all the insight you need to quickly resolve anomalous behavior.

Standing back on the shore waiting for an event to go by may not be the best approach for proactive monitoring. Synthetic monitoring (active monitoring) is needed to help reduce the blind spots for critical business applications.

For example, we just experienced a production issue on a fully instrumented critical business application that first appeared nebulous.

During peak volume time the Service Desk was taking calls from users across random locations stating that they couldn't login, however if they were already on the system all was well.  Even when the users logged out they could still login again and continue working. Other facts that came in made the issue more perplexing:

  • RUM showed transaction volume and performance was normal.
  • Deep dive Java monitoring agents showed the same.
  • There were no glaring HTTP 500 errors and the backend database was fine.
  • Infrastructure monitoring was green in all tiers and resource consumption was within baseline.
  • What did we use to find the issue then? It was our synthetic monitoring tool that popped an alert on two externally facing applications.

    Root Cause? Our Internet provider’s DNS resolution was not working properly. So any machine that needed name resolution that wasn’t already cached for the day, couldn’t get a login page. For further insight, click here for the full article.

    Image: Travis Miller/Flickr (Top);

    More Stories By Larry Dragich

    Larry Dragich is actively involved with industry leaders, sharing knowledge of Application Performance Management (APM) technologies, from best practices and technical workflows, to resource allocation and approaches for implementation. He has been working in the APM space since 2006 where he built the Enterprise Systems Management team which is now the focal point for IT performance monitoring and capacity planning activities.

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