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How Do You Detect and Solve Performance Issues?

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How Do You Detect and Solve Performance Issues?

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Transform incident management with machine learning and analytics to help you maintain optimal performance and availability while keeping pace with the growing demands of digital business with this eBook, brought to you in partnership with BMC.

This post is asking you to help us in building a better product. What we are after is your current experience in Java performance tuning. You can share your insights in just a few minutes via a short survey.  We appreciate your effort and in return grant you access to three months of Plumbr subscription. Also, 10 of the randomly chosen respondents will receive a $100 Amazon gift card.

First 250 responses are already submitted. Based on the data gathered we can already share a few teasers about what kind of data we are collecting:

  • Most commonly used monitoring tools: Nagios, NewRelic and Zabbix
  • Most frequently used tools for root cause detection: JVM built-in tooling, profilers and thread dumps
  • Most common causes for performance issues: memory leaks, slow database queries and synchronization issues

We do have a lots of other interesting insights and are eager to publish the results, but we do not want to influence you too much before taking the survey. Anyhow, we promise to share the results already in the beginning of November.

Our product is completing a major milestone with the biggest release in our history during this week. You input will be used to steer our product development in forthcoming releases, so if you wish to get a better tool to solve those nasty performance issues, find the three minutes to answer the 10 questions!

Evolve your approach to Application Performance Monitoring by adopting five best practices that are outlined and explored in this e-book, brought to you in partnership with BMC.


Published at DZone with permission of Nikita Salnikov-Tarnovski, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.


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