Integrations

Comprehensive guide to Bindplane integrations including sources, processors, and destinations for building complete observability pipelines

Integrations are the building blocks of your Bindplane telemetry pipeline. They define how telemetry data (logs, metrics, traces) is collected, processed, and exported to your preferred destinations.

Integration Types

Sources

Data Collection: Sources define where your telemetry data originates. They connect to your infrastructure components, applications, and cloud services to ingest data into your pipeline.

Popular Sources:

• OpenTelemetry (OTLP): Standard protocol for telemetry data

• Kubernetes: Events, metrics, and logs from your K8s clusters

• AWS Services: CloudWatch, S3, EC2, and other AWS resources

• System Logs: Journald, Syslog, and file-based logging

• Application Logs: Custom application telemetry and structured logs

• Database Monitoring: MySQL, PostgreSQL, and other database systems

Processors

Data Processing: Processors modify, filter, and transform your telemetry data before it reaches its destination. They help optimize data flow, reduce costs, and ensure compliance.

Common Processors:

• Filtering: Remove unwanted logs, metrics, or traces

• Transformation: Rename fields, modify values, or restructure data

• Aggregation: Combine metrics or batch logs for efficiency

• Enrichment: Add metadata, labels, or contextual information

• Sampling: Reduce data volume while maintaining observability

• Routing: Direct data to different destinations based on criteria

Destinations

Data Export: Destinations are the final endpoints where your processed telemetry is sent for storage, analysis, or visualization.

Popular Destinations:

• Observability Platforms: Datadog, New Relic, Splunk, Elastic

• Cloud Services: Google Cloud Logs, AWS CloudWatch, Azure Monitor

• Security Platforms: Google SecOps, CrowdStrike Falcon LogScale

• Databases: ClickHouse, InfluxDB, TimescaleDB

• Message Queues: Kafka, RabbitMQ, AWS SQS

• Custom Endpoints: OTLP, HTTP, gRPC endpoints

Next Steps

• Browse available sources to see what data you can collect

• Explore processors to understand data transformation options

• Check destinations to find where you can send your data

• Learn about processors for advanced data processing

• Understand rollouts for safe deployment strategies