Real-Time Log Pipelines
Ingest, transform, route, and analyze logs at scale. Build resilient data flows with sub-10ms latency, dynamic filtering, and zero data loss.
✓ Ingestion: Active (24 sources)
✓ Transform: Pipeline v4.2 running
✓ Routing: 3 destinations configured
✓ Storage: Hot/Tiered sync enabled
⚠ Backpressure: None detected
$ cnx pipeline tail --live
How It Works
A unified pipeline architecture designed for high-throughput log processing.
Ingest
Multi-protocol receivers: HTTP, Syslog, Fluentd, Filebeat, & SDK agents.
Transform
Parse, enrich, mask PII, and apply schema validation in real-time.
Route
Dynamic routing rules, fan-out delivery, and conditional filtering.
Deliver
Push to storage, analytics, or alerting systems with exactly-once semantics.
Built for Production Scale
Enterprise-grade features to manage complex logging workloads without the overhead.
Backpressure-Aware Routing
Automatically throttles or buffers when downstream destinations slow down, preventing log loss and system crashes.
PII Redaction & Masking
Zero-config regex patterns for credit cards, emails, and IPs. Custom masking rules with auditable compliance logs.
Dynamic Schema Validation
Enforce JSON/YAML schemas at ingestion. Route malformed logs to quarantine queues for debugging.
Exactly-Once Delivery
Idempotent routing with checkpointed offsets. Automatic retry with exponential backoff and dead-letter queues.
Edge-to-Core Sync
Process logs at the edge, aggregate regionally, and sync to central storage with conflict-free resolution.
Pipeline Telemetry
Real-time dashboards for ingestion rate, transformation errors, routing latency, and destination health.
Declare Pipelines as Code
Define complex log routing logic in a single YAML file. Version control, review, and deploy pipelines like infrastructure. No proprietary DSLs required.
- ✓ GitOps native with CI/CD validation
- ✓ Hot-reload configuration without downtime
- ✓ Environment-aware variable interpolation
- ✓ Built-in syntax checker & schema validator
# pipeline.yaml sources: app_logs: type: http port: 8080 format: json transform: - name: redact_pii rules: - field: user_email action: mask - field: request_id action: hash routes: - name: hot_storage condition: severity >= warning dest: cloudnexus://index/logs-hot - name: cold_archive condition: severity = info dest: s3://logs-archive/{{region}} - name: slack_alerts condition: error_count > 100m dest: webhook://hooks.slack.com/services/XXX
Native Integrations
Connect to your existing stack without custom connectors.
Ready to Centralize Your Logs?
Spin up a production-ready pipeline in under 5 minutes. Free tier includes 10GB/day ingestion.