JSON is the Right First Step for Efficient Log Analysis
If you’re logging in JSON, you’re already on the path to getting actionable insights from your logs. Want to see which JSON fields are most useful to Loggly customers? Check out our blog post.
However, your JSON logging efforts won’t bear fruit until you put in place a scalable, reliable system that can take full advantage of JSON’s structure for efficient log analysis. JSON log analysis is much easier with Loggly in place.
Loggly Helps You Take Advantage of JSON’s Structure
JSON essentially creates a structured database of your logs, even if there are too many events for you to read manually. Loggly’s cloud-based log management system can crunch through hundreds of thousands of JSON events per second, giving you a much smarter way to gain the full value of logging in JSON. Because we don’t use agents, Loggly is incredibly easy to set up.
Loggly parses your JSON as logs are received, creating a real-time map of your logs’ structure that is viewable and clickable through the Loggly Dynamic Field ExplorerTM user experience. Instead of relying on guesswork and iterative searches to figure out where to look for a problem, you can utilize JSON field counts and other metrics to guide you to answers. With JSON’s flexibility for adding and removing fields, Loggly even picks up changes to your logs with no action on your part.
Our log management service offers:
- Charting and trend visualizations created via a GUI
- Powerful search tools that use a straightforward, Lucene-like query language
- Point-and-click filtering on JSON fields
- Built-in alerts
- Automatic archival to Amazon S3
- Customizable dashboards for tracking operational metrics
Not sure how Loggly will work with your JSON data? Thinking about replacing a homegrown log management solution? No problem! Just sign up for our 30-day free trial and see for yourself!