Proposal: Adaptive Filter Processor

[ppnaik1890]

The purpose and use-cases of the new component

We will like to propose a new transform for OTel for adaptively filtering the metric and log collection based on external inputs.

Motivation:

The Adaptive Filter Processor dynamically adjusts the telemetry data based on the available budget, prioritizing metrics or logs that are most relevant or indicative of critical events. It optimizes transmission by adhering to external bandwidth limits, ensuring efficient data delivery without network congestion. This ensures that telemetry data is transmitted efficiently, even in resource-constrained environments.

Example configuration for the component

processors:
  # name of the processor 
  adaptivefilterprocessor:
    budget: 1GB/s
    cooloffperiod: 1m
    minthreshold: 0.8GB/s
    backofftimer: random/exponential
    defaultpriority: 2
    priorityorder:
      - priority: 1
          matchrule:
            metric: 
              - 'name == "my.metric" and resource.attributes["my_label"] == "abc123"'
            logs:
              - 'IsMatch(body, ".*password.*")' 
      - priority: 2
          matchrule:
            logs:
              - 'severity_number < SEVERITY_NUMBER_WARN'
           

The adaptive filter processor has the following parameters.

It first takes the allocated budget in terms of bandwidth for telemetry data processing and transmission for the cluster. A waiting period, known as the cooloffperiod, is observed before activating the filtering mechanism, in case the surge in bandwidth usage is temporary. The key parameter is the priorityorder which orders the metrics and logs in terms of priority. These priority are matched based on match rules on the labels present in the metrics and logs. Priority level 1 signifies the highest importance. It's important to note that if certain telemetry data falls into priority level 1, it is deemed crucial and transmitted regardless of the specified budget. Metrics and logs not covered by any priority rules in the priority order are assigned the defaultpriority. Furthermore, if a metric or log matches multiple priority rules, the higher priority level is chosen.

As this filter can be dynamically adjusted, it's necessary to return to the default configuration once the telemetry overload is resolved, specifically when the current bandwidth usage falls below the minthreshold. The cooloffperiod is utilized again to prevent sporadic drops in bandwidth utilization. However, it may happen that the issue requires more than the cooloffperiod which is when backofftimer triggers to reduce the checks by increasing the interval either randomly and exponentially.

Telemetry data types supported

metric and logs

Is this a vendor-specific component?

• This is a vendor-specific component
• If this is a vendor-specific component, I am proposing to contribute and support it as a representative of the vendor.

Code Owner(s)

No response

Sponsor (optional)

No response

Additional context

No response

[ppnaik1890]

If accepted we will like to contribute this enhancement.

[github-actions]

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