Business Metrics for Data-Driven Enterprises
• Get better insights into your end-to-end business processes
• Extract business metrics from logs and events for decision-making
• Enhance customer experience by uncovering insights that are embedded inside logs
Mezmo's pipeline parsers and Events to Metrics Processor provide an easy way to create new metrics from existing logs and events.
01
Derive metric data from Logs
Parse the log data to extract specific information and then use that information to create metrics. For example, identifying a specific value within a log message, such as the time it took to serve a request, and using that value to create a metric for downstream analytics.
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Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. Richard McClintock.
EXAMPLE 1
02
Create Metrics from Events
Count specific events within the log data and turn that count into a metric. For example, count the number of successful requests and use that count to create a metric for the Grafana dashboard.
See How It Works
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Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. Richard McClintock.
EXAMPLE 2
03
Visualize and Analyze in the Destination of Your Choice
Take your data to any analytics and visualization tool of your choice. Whether DatadDog, Grafana, Elastic Stack, or Splunk, Mezmo works with all popular observability tools.
Check out the extensive list of supported destinations.
TITLE LOREM
Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. Richard McClintock.