All the latest
-
Loggly Q&A: Mike Vizard on IT and logging trends
Mike Vizard is a seasoned IT journalist, with nearly 30 years of experience writing about enterprise IT issues. He is a contributor to publications including Programmableweb,… Read more
-
Why Loggly chose Amazon Route 53 over Elastic Load Balancing
The key function of our log management service is to process massive amounts of log data from a wide variety of sources, parsing and indexing it… Read more
-
Loggly Q&A: Unearthing the Value of Dark Data
Jon Gifford is Loggly’s Chief Search Officer. We spoke with him today about the concept of dark data, and why it’s a hidden gold mine to… Read more
-
Bringing Stream Filtering into Loggly with Fluentd
Kiyoto Tamura is Director of Developer Relations at Treasure Data, where he focuses on open source initiatives. Follow him on twitter: @kiyototamura Introduction There are many… Read more
-
Loggly Q&A: Big Data 2.0, Logs, and You
Ben Kepes is a technology evangelist, an investor, a commentator and a business advisor with Diversity Limited. Ben covers the convergence of technology, mobile, ubiquity and… Read more
-
Error Reporting: How to Use Loggly to Report on Errors and Exceptions
At Loggly, we regularly ask our trial users about how they are using our log management service. Reporting on errors and exceptions, cited by more than 40%… Read more
-
Loggly Q&A: A Look at Log Management and IT Performance Management
Dennis Callaghan is a Senior Analyst on the Infrastructure Software team at 451 Research. He leads the firm’s coverage of application and Internet performance management, service-level… Read more
-
Using Pending Tasks in Elasticsearch and How to Make Them More Actionable with Loggly
If you have read our first three posts on Elasticsearch, you have probably seen a pattern: Running a large-scale app that heavily uses search is impossible… Read more
-
Using Range Queries in Alerts: How to Find Operational Problems Before They Happen
A while back, Jon Gifford wrote a great post on how to use search to find problems from your log data. Following up on that, I… Read more
-
Get Closer to Your Data: Seven Steps You Need to Follow
The Rise of the Data-Smith In the Middle Ages, blacksmiths and coppersmiths produced beautiful works based on the knowledge of their materials: how the materials behaved,… Read more