Processors

Comprehensive list of data processors supported by Bindplane for transforming, filtering, and enriching metrics, logs, and traces

Processors can be inserted into your telemetry pipeline to transform your data before it arrives at your destination. Adding attributes, filtering, and converting logs to metrics are all the types of transformations we can do using processors in Bindplane.

Processor Categories

Data Transformation

• Add, modify, or remove fields and attributes

• Parse structured data from various formats

• Convert between data types and formats

Filtering & Sampling

• Filter telemetry based on conditions, fields, or patterns

• Sample data to reduce volume

• Remove duplicate or unwanted data

Data Enrichment

• Add contextual information and metadata

• Lookup additional data from external sources

• Detect and add resource information

Aggregation & Statistics

• Compute metrics from logs and traces

• Group and aggregate data

• Generate statistical summaries

Available Processors

Data Transformation Processors

Processor	Metrics	Logs	Traces	Description
Add Fields	✓	✓	✓	Add attributes, resources, and log record body keys
Copy Field	✓	✓	✓	Copy values from one field to another
Delete Empty Values	✓	✓	✓	Remove fields with empty or null values
Delete Fields	✓	✓	✓	Remove specific fields from telemetry
Move Field	✓	✓	✓	Move values between different field types
Rename Fields	✓	✓	✓	Rename fields and attributes
Rename Metric	✓			Rename metric names
Split	✓	✓		Split telemetry records into multiple records
Transform	✓	✓	✓	Transform telemetry using custom OTTL statements
Unroll		✓		Expand arrays into separate log records

Parsing Processors

Processor	Metrics	Logs	Traces	Description
Parse CSV	✓	✓	✓	Parse CSV-formatted strings into structured data
Parse JSON	✓	✓	✓	Parse JSON strings into structured data
Parse Key Value	✓	✓	✓	Parse key-value pairs from strings
Parse Severity		✓		Extract and standardize log severity levels
Parse Timestamp	✓	✓	✓	Parse timestamps from various formats
Parse with Regex	✓	✓	✓	Extract data using regular expressions
Parse XML	✓	✓	✓	Parse XML strings into structured data

Filtering & Sampling Processors

Processor	Metrics	Logs	Traces	Description
Filter by Condition	✓	✓	✓	Filter based on OTTL conditions
Filter by Field	✓	✓	✓	Filter based on field values
Filter by Regex		✓		Filter using regular expressions
Filter HTTP Status		✓		Filter logs based on HTTP status codes
Filter Metric Name	✓			Filter metrics by name patterns
Filter Severity		✓		Filter logs by severity level
Log Sampling		✓		Sample logs to reduce volume
Deduplicate Logs		✓		Remove duplicate log entries

Data Enrichment Processors

Processor	Metrics	Logs	Traces	Description
Coalesce	✓	✓	✓	Combine multiple fields into a single field
Group by Attributes	✓	✓	✓	Group telemetry by attribute values
Lookup Fields	✓	✓	✓	Enrich data using lookup tables
Resource Detection	✓	✓	✓	Automatically detect and add resource information
Redact Sensitive Data	✓	✓	✓	Redact sensitive data in telemetry
Rewrite Timestamp	✓	✓	✓	Modify timestamp values

Aggregation & Statistics Processors

Processor	Metrics	Logs	Traces	Description
Batch	✓	✓	✓	Batch telemetry for efficient processing
Compute Metric Statistics	✓			Calculate statistics from metric data
Count Telemetry	✓	✓	✓	Count telemetry records and generate metrics
Extract Metric		✓		Extract metrics from log data

Specialized Processors

Processor	Metrics	Logs	Traces	Description
Concat	✓	✓	✓	Concatenate multiple fields into a single field
Custom	✓	✓	✓	Custom OpenTelemetry processor configuration
Google SecOps Standardization		✓		Standardize logs for Google Security Operations
Marshal		✓		Marshal data into specific formats

Available Processors by Bindplane Plan/License

Processor	Google Edition	Growth / Enterprise / Enterprise (Google Edition)
Compute metric statistics		✓
Copy field		✓
Count telemetry		✓
Custom		✓
Delete empty values		✓
Delete fields		✓
Deduplicate logs		✓
Extract metric		✓
Filter by condition		✓
Filter by field		✓
Filter HTTP status		✓
Filter metric name		✓
Filter severity		✓
Log sampling		✓
Mask sensitive data		✓
Add fields	✓	✓
Batch	✓	✓
Coalesce	✓	✓
Filter by regex	✓	✓
Group by attributes	✓	✓
Google SecOps standardization	✓	✓
Lookup fields	✓	✓
Marshal	✓	✓
Move field	✓	✓
Parse CSV	✓	✓
Parse JSON	✓	✓
Parse key value	✓	✓
Parse severity	✓	✓
Parse timestamp	✓	✓
Parse with regex	✓	✓
Parse XML	✓	✓
Rename fields	✓	✓
Rename metric	✓	✓
Resource detection	✓	✓
Split	✓	✓
Unroll	✓	✓

Getting Started

To add a processor to your configuration:

1. Navigate to the Configs tab in Bindplane

2. Select or create a configuration

3. Add a source to collect data

4. Click Add Processor

5. Choose the appropriate processor type from the list above

6. Configure the required parameters

7. Add destinations to route the processed data

8. Apply the configuration to your collectors

Processor Bundles

Processor bundles are a convenient way to group multiple processors into a single unit. Each bundle can encapsulate a list of processors designed to perform complex transformations. Bundles enable the user to streamline common tasks that require multiple processors.

Click here for an in-depth view on how to use processor bundles.

Telemetry Type Support

Processors can operate on different types of telemetry data:

• Metrics: Numerical measurements and statistics

• Logs: Text-based event records

• Traces: Distributed tracing data for request flows

Some processors support multiple telemetry types, allowing you to apply consistent transformations across your entire observability pipeline.

Enterprise Features

Certain processors are available only in Bindplane Enterprise Edition. Please contact [email protected] for more information about enterprise features.

Common Use Cases

• Log Enrichment: Add environment tags, service names, and other contextual information

• Data Normalization: Standardize log formats and field names across different sources

• Security: Mask sensitive data like passwords, API keys, and PII

• Performance Optimization: Filter out noise and sample high-volume logs

• Compliance: Ensure data meets regulatory requirements through transformation and filtering