Events to Metrics in Chronologics
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Questions and Answers

What is the main advantage of using Events to Metrics?

  • Retaining data for a long time without incurring high costs (correct)
  • Improving the performance of log queries
  • Enabling real-time monitoring of logs and spans
  • Enhancing the security of log data

    • What is a prerequisite for using Events to Metrics?

  • Setting up a metrics bucket (correct)
  • Defining a query to capture fields
  • Setting up a custom dashboard
  • Configuring log filtering

    • How are logs converted to metrics in Events to Metrics?

  • By defining a custom query
  • By extracting a specific field and indexing it
  • By filtering logs by a specific field and saving the metric (correct)
  • By using a pre-built metric template

    • What can be visualized in a custom dashboard in Events to Metrics?

    <p>Both logs and spans converted to metrics</p> Signup and view all the answers

    How are spans converted to metrics in Events to Metrics?

    <p>By extracting the duration field from a span and generating metrics from it</p> Signup and view all the answers

    What is the benefit of using Chronologics?

    <p>Significant cost savings due to not indexing</p> Signup and view all the answers

    What is the first step in creating an event to metrics feature?

    <p>Enter basic details such as name and description</p> Signup and view all the answers

    What is the maximum number of metric fields that can be defined?

    <p>10</p> Signup and view all the answers

    What do labels essentially represent in metrics?

    <p>Values that can be added to metrics</p> Signup and view all the answers

    What can be done to avoid reaching the 10 million permutations per account limit?

    <p>Allocate a daily permutation budget</p> Signup and view all the answers

    What is a recommended practice when creating events to metrics?

    <p>Make specific queries to avoid slowdowns</p> Signup and view all the answers

    What is a benefit of using custom dashboards?

    <p>It generates data without incurring extra costs</p> Signup and view all the answers

    Study Notes

    Events to Metrics Overview

    • Events to Metrics allows users to turn logs or spans into metrics, making it easy to hold onto data for a long time without incurring high costs.
    • Metrics are very easy to retain and can be queried in a very performant way across long periods of time.
    • This feature unlocks historical reporting capabilities without the need for expensive indexing.

    Prerequisites

    • A metrics bucket needs to be set up in order for Events to Metrics to work.
    • The metrics bucket can be set up in the Data Flow section, inside the Archive section.

    Benefits

    • Events to Metrics enables huge cost savings while retaining key information over a long period of time.
    • The power of Chronologics lies in the ability to convert logs and traces into metrics without indexing, resulting in significant cost savings.

    Converting Logs to Metrics

    • In the Log Explore view, users can filter logs by a specific field, such as HTTP response took Ms.
    • A query can be run to capture the field, and then an event to metrics category can be defined to capture the field.
    • The metric series will start generating from the particular field when the "Save" button is clicked.
    • The resulting metrics can be visualized in a custom dashboard.

    Converting Spans to Metrics

    • Spans can be converted into metrics in a similar way to logs.
    • Users can extract the duration field from a span and generate metrics from it.
    • The resulting metrics can be visualized in a custom dashboard.

    Creating an Event to Metrics Feature

    • To create an event to metrics feature, users need to hover over Data Flow, go to Events to Metrics, and click on "New Event to Metric".
    • The first step is to enter basic details, such as the name and description of the event to metric.
    • Users can then choose between logs and spans, and enter a query to filter the data.
    • Metric fields can be defined, and labels can be added to the metrics.

    Metric Fields

    • Up to 10 different metric fields can be defined.
    • Metric fields can be used to generate different metric series, such as maximum, minimum, and average.
    • Advanced options allow users to customize the metric fields, such as adding histograms or aggregations.

    Labels

    • Labels are essentially values that can be added to metrics.
    • Labels can be used to query and slice the data.
    • Users need to be aware of the implications of adding labels, as they can affect the number of permutations.

    Permutations

    • Permutations refer to the different combinations of unique values for labels.
    • The number of permutations can quickly increase if multiple labels are added.
    • A graph is available to show the number of permutations per day, helping users to understand the impact of adding labels.

    Best Practices

    • It is recommended to make specific queries to avoid slowdowns.
    • Users should be aware of the implications of adding labels and permutations.
    • It is important to think about how the data will be used and define labels accordingly.### Permutations
    • Permutations can quickly increase exponentially, making it possible to reach the 10 million permutations per account limit
    • It is essential to carefully consider labels with unique values and how they impact permutation metrics

    Managing Permutations

    • Use the Matrix permutations graph to understand the impact of labels on permutations
    • Allocate a daily permutation budget (e.g., 1100, 1200, etc.) to avoid reaching the limit
    • Consider the permutation budget when adding labels, and evaluate whether they are necessary or can be optimized

    Event to Metrics Configuration

    • Configure events to metrics, setting the query, scope, and severities for logs
    • Set services and actions for given spans
    • Configure different values in the metrics fields (limited to 10 metric fields per program to metrics)

    Metric Permutations and Labels

    • Metric permutations are crucial, and their impact should be monitored
    • The number of metric permutations can be viewed in the dashboard
    • Labels can significantly affect permutations, making it essential to balance the number of labels and high cardinality labels with the permutation budget

    Benefits of Custom Dashboards

    • Cost-effective: storing data in object storage in the cloud account
    • Prerequisite: having the metrics archive set up
    • No additional cost impact: generate data without incurring extra costs
    • Provides powerful, high-performance historical perception of data

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    Description

    Learn about the Events to Metrics feature in Chronologics, which allows users to convert logs and spans into metrics, enabling cost-effective historical reporting and data analysis. This feature provides a powerful way to retain data without incurring high costs. Discover how to set up and configure Events to Metrics, and understand the benefits of using custom dashboards.

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