Documentation Index
Fetch the complete documentation index at: https://docs.chronosphere.io/llms.txt
Use this file to discover all available pages before exploring further.
After creating shaping rules, you want to understand their impact
to ensure they have the intended outcome. Chronosphere Observability Platform
provides several tools to understand the impact of the shaping rules you create.
Review metric shaping rules
Use the
Aggregation Rules UI
to understand your existing metric shaping rules and how they affect your
environment. Use the
shaping impact preview
to preview the impact of a rule on your overall system, which helps prevent breaking
changes and ensure the rules you create operate as expected.
You can then use the Live Telemetry Analyzer
to review metrics with a Data phase filter that shows what data was dropped,
matched, or rejected by specific rule types.
Periodically review the
Recommendations
page to help identify metrics and labels with no usage or utility over the past 30
days. You can then create drop rules and rollup rules based on the recommendations.
If your organization uses capacity pricing, you can define metrics
quotas and pools to assign specific
percentages of your total persisted writes limit to pools of metrics. Review log control rules
When creating a log shaping rule, enter a filter to
display a preview of the log data that the filter matches. This preview lets you
confirm that the control rule targets the intended logs before applying the control
rule.
After creating log shaping rules, use the Logs Usage
page to review and understand frequent patterns in your log data. Use this
information to identify high-volume, low-utility patterns, and confirm that a
pattern’s volume has changed after applying a control rule. You can then create a
control rule for a pattern from the Logs Usage page with a defined filter, which
ensures you’re matching the correct pattern.
Review trace control rules
Use the Trace Control Plane to both create and
review the control mechanisms for trace data. After creating datasets, you can view
the total processed and persisted bytes for a selected period to understand the data
consumption.
Before assigning behaviors,
run a preview
against a specific dataset to understand how it impacts data volume before shaping
the data. Select a behavior to view head and tail sampling statistics so you can
understand how the behavior affects traces that impact multiple datasets.
After creating a trace metric, you
can pivot to view similar traces or view similar logs to cross-reference what data
the metric is capturing.
