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Logging

The latest News and Information on Log Management, Log Analytics and related technologies.

3 Steps to Structuring Logs Effectively

In order to analyze logs efficiently, they must be structured effectively. Often, logs from different sources label data fields differently and/or provide data that’s completely unstructured. The problem is that both types of data need to be structured appropriately in order to key in on particular elements within the log data, such as: Monitoring on source address, Applying rules associated with user names, and Creating alerts for destination addresses.

Logging Agents vs. Logging Libraries: Which Should You Use?

When logging applications to a centralized location like LogDNA, developers have two options: using a logging agent or using a logging library. Both approaches will get your logs to their destination, but choosing one over the other can have a significant impact on the design of your applications and infrastructure. In this article, we’ll explain the difference between logging via agents and logging via libraries, and which approach works best in modern architectures.

Harness the power of CHAOSSEARCH to understand your users and Amazon ELB log data

Still trying to make sense of your Amazon ELB Log data? Don't move your logs out of your Amazon S3 account - simply connect CHAOSSEARCH to your S3 Bucket with a Read Only IAM role where we index that data and write the results to your Amazon S3 account.

Identify risky cloud behavior in your Amazon AWS Cloudtrail logs with CHAOSSEARCH

Trying to make sense of your AWS Cloudtrail logs? Have you given up hope that you'll ever create an Elasticsearch index mapping to search all that data? Watch as Pete Cheslock dives into some AWS Cloudtrail data to identify risky cloud behavior.