Hadoop Apache Log Processing Can’t Match the Simplicity, Scalability, and Reliability of Loggly

What Hadoop Apache Log Processing Entails

Processing your log files with Apache Hadoop sounds like a really cool idea, but it’s harder than it sounds to get meaningful insights. Here are the challenges your solution will need to address:

  • “Spiky” data that may have bursts lasting several hours
  • The need for extreme fault tolerance: Every log could be the one you need most when your application is on fire
  • Near real-time processing to support operational troubleshooting use cases
  • Time-series data views
  • Potentially fast growth as your application takes off, exponentially growing your data storage costs

Even the best DIYers have found challenges to be really tough. Why not leave log management to the experts so you can focus on your core product differentiation?

Apache Log Processing and Analysis with Loggly

Loggly’s cloud-based log management service offers a different approach: We do the hard work of processing log files and parsing them for analysis so that you can focus on finding answers. With our simple setup process for Apache logs as well as many other log types and easy-to-use analysis tools, Loggly gives you a quick productivity boost. Loggly processes tons of log data every second and alerts you when your logs show an anomaly, so you can stay laser focused on operational problem solving. With Loggly Dynamic Field ExplorerTM, you have instant visibility into your Apache logs without doing a bunch of custom search queries.

Experience the benefits of Loggly yourself by signing up for our free trial.

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