Route & Filter
Control what data goes where with intelligent routing and filtering rules.
Observability Pipeline
Taking operational control of your observability data before it controls your budget
Cribl Stream routes, filters, transforms, enriches, and replays telemetry data — giving you operational control over what goes where, in what format, at what volume.
The result: lower ingest costs, higher data quality, and the flexibility to change destinations without touching sources.
Deployed and operated as part of enterprise observability architectures through Aegis managed services.
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The Challenge
Observability data costs scale faster than IT budgets
Most organizations have no control plane for their telemetry data. Logs, metrics, and events generate at sources and route directly to destinations like Splunk, Microsoft Sentinel, or Elastic — with no management layer in between.
The Operational Reality
Every SIEM license, every Splunk ingest gigabyte, every log management platform charges based on data volume. Security and operations teams respond by ingesting everything into everything, watching costs climb, then making uncomfortable choices about what to drop.
Unmanaged pipeline from source to destination
Data arrives in non-optimal formats
Inconsistent field naming across sources
Duplicate events inflating ingest volume
Low-value debug logs without analytical value
Cribl Stream Intelligence
Cribl solves this by inserting an intelligent pipeline between your data sources and destinations.
Transform & Enrich
Normalize formats, standardize field names, and enrich events with contextual data.
Multi-Destination
Send the same data stream to multiple destinations without source reconfiguration.
Implementation Process
Six-phase deployment from assessment to operational integration.
1
Data Flow Assessment
Map current telemetry flows, identify optimization opportunities, and quantify cost reduction potential.
2
Architecture & Deployment
Design Cribl deployment architecture and establish connectivity to all sources and destinations.
3
Pipeline Build & Migration
Build transformation logic, migrate sources, and integrate with Aegis monitoring.
What You Get
Complete observability pipeline with operational documentation and ongoing management.
Data Flow Assessment
Source/destination inventory with volume analysis and cost reduction projection.
Cribl Deployment
Production-grade Cribl environment with high availability configuration.
Pipeline Configuration
Transformation logic for all data streams with multi-destination routing.
Aegis Integration
Pipeline health monitoring and change management workflow.
Measurable Results
- SIEM ingest volume reduction with direct license cost impact
- Improved data quality: consistent field naming and enriched events
- Multi-destination routing without source reconfiguration
- Compliance archiving at lower cost than full-fidelity SIEM retention
- Platform for ongoing data strategy evolution
Ideal Fit
- Organizations with Splunk or volume-based SIEM licensing experiencing cost pressure
- Multiple observability tools receiving overlapping data streams
- Planning SIEM migration without reconfiguring all data sources
- Compliance log retention requirements expensive to meet in SIEM
- Inconsistent log formats degrading SIEM detection quality
Architecture Comparison
Direct-to-SIEM vs. Cribl-mediated pipeline
Understanding when to add pipeline intelligence to your observability architecture.
Direct-to-SIEM
Default Architecture
Sources send data directly to Splunk or other platforms. Simple to implement initially.
Best Fit
Organizations with fewer than 5 data sources and a single SIEM destination.
Tradeoffs
Becomes expensive as data volumes grow, rigid as platforms change, and noisy as source verbosity accumulates.
Recommended
Cribl-mediated Pipeline
Intelligent Architecture
Adds intelligence between sources and destinations with data strategy control.
Best Fit
Complex telemetry environments, multiple destinations, or active SIEM cost pressure.
Tradeoffs
Additional component with deployment and management cost.
IVI Recommendation
Lower ingest cost, higher data quality, destination flexibility, and data decision control without touching sources.
Why IVI
Observability architecture expertise with operational depth
Production Cribl Operations
We operate Cribl in production observability environments and understand both technical configuration and organizational SIEM cost dynamics.
Architecture Integration
We design observability architectures where Cribl plays the right role, not just deploy it as a product.
Splunk Practice Depth
Our Splunk expertise means we understand downstream impact of pipeline decisions on SIEM performance and detection quality.
End-to-End Observability
Cribl deployment integrated with comprehensive observability strategy and Aegis managed services.
Data Strategy Control
Make data decisions about what to collect, where to send it, and how to transform it without touching sources.
Aegis Operations
Pipeline health monitoring, rule updates, and configuration evolution as your data environment changes.
Related Resources
Related Resources
Review related solution pages, supporting materials, and additional resources that help explain where this solution fits and how it can be applied.
FAQs
Frequently Asked Questions
Common questions about Cribl observability pipeline implementation.
We're already locked into Splunk licensing for 3 years. Does Cribl still provide value?
Yes. Even with committed Splunk licensing, Cribl improves data quality — better-structured, enriched, normalized data improves detection accuracy and search performance. It also positions you for the next renewal with quantified ingest reduction data that gives you negotiating leverage.
How does Cribl handle high-throughput data sources like firewall logs or network flow records?
Cribl is purpose-built for high-throughput telemetry processing. Flow records and firewall logs are among the highest-value use cases for Cribl optimization — they benefit significantly from sampling, aggregation, or filtering before SIEM ingest. We size Cribl worker nodes for your throughput requirements during architecture design.
We use Microsoft Sentinel, not Splunk. Does Cribl work with Sentinel?
Yes. Cribl has connectors for Microsoft Sentinel through the Azure Monitor Logs destination. The ingest optimization value is similar — reducing data volume sent to Sentinel reduces your Azure Monitor Logs cost. The deployment and pipeline design methodology is platform-agnostic.
Can Cribl help us move from Splunk to another SIEM platform?
Cribl is the ideal migration tool for SIEM transitions. You can route data to both your existing Splunk and your new SIEM simultaneously during transition — validating the new platform with real data while keeping the old one running. When ready to cut over, you remove the Splunk destination from the pipeline without source reconfiguration.
What's the typical cost reduction we can expect from implementing Cribl?
Cost reduction varies significantly by environment based on current data volumes, source verbosity, and optimization opportunities. Our data flow assessment quantifies the reduction potential specific to your environment before deployment. Most organizations see meaningful SIEM ingest volume reduction, with the exact percentage depending on current data quality and filtering opportunities.
How does Cribl integration with Aegis managed services work?
We onboard Cribl into Aegis monitoring with pipeline health alerts, throughput monitoring, and error rate tracking. We establish pipeline change management workflows for ongoing rule updates and new source integrations. This ensures your observability pipeline operates as managed infrastructure rather than a point solution.