All the latest
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Visualizing a big data pipeline: From monitoring to understanding (Logfooding, pt 3)
In the first two parts of this series on how Loggly uses Loggly, we looked at gathering and structuring data to help us solve the problem… Read more
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New automated log parsing for Windows, Heroku, Python, and MongoDB
We’re proud to announce our new automated parsing for logs coming from Windows, Heroku, MongoDB, and Python. Our mission is to understand the logs you are… Read more
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5 Loggly values that resonated with the AWS re:Invent audience
This year’s AWS re:Invent was a huge success by any measure. The AWS team made so many announcements and this underscores its ongoing commitment to making… Read more
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How to track the end user experience with logs
How well do you know your user experience? End users play an increasingly important role in tracking application performance. As technology becomes faster, users become less… Read more
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Loggly @ AWS re:Invent 2017
Happy Thanksgiving! AWS re:Invent 2017 is just right around the corner. Next week more than 40,000 technologists from leading cloud technology companies will be working hard… Read more
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8 common mistakes to avoid in Loggly search
Every month I host a webinar in the Advanced Technical Webinar Series that tackles in-depth topics for advanced Loggly users. After the successful rollout of this… Read more
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Kubernetes 1.7 auditing with Loggly
As organizations start building production-grade Kubernetes clusters, security has emerged as one of the big issues to be addressed. This is true whether you are a… Read more
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The 2017 DevOps holiday survival guide: Keep calm and carry on
The 2017 holiday season is almost here! So we thought of sharing a holiday survival guide with you. With the rise in mobile shopping and fully… Read more
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Timeshift: Monitoring across time periods made easy
It is the end of October and therefore time for the Fall Classic. This year we have the Los Angeles Dodgers taking on the Houston Astros.… Read more
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Benchmarking Java logging frameworks
Two years ago, Loggly ran a series of performance tests on some of the most popular Java logging frameworks at the time. These tests were designed… Read more