Cribl development for teams that need control over their telemetry
We help teams route, shape, enrich, redact, archive, and replay observability data before it becomes noisy, expensive, risky, or trapped in one destination.
Telemetry control plane
Route the right data to the right place
Route
By value
Shape
Before ingest
Replay
When needed
Routing plan
GovernedSIEM + archive
Splunk + storage
Observability stack
Observability data needs a control plane before it needs another destination.
Modern environments generate more telemetry than teams can afford to search, store, or understand. Without a routing strategy, every destination becomes a compromise between cost, visibility, retention, and risk.
Cribl gives teams a place to make those decisions deliberately: what to keep hot, what to archive, what to redact, what to enrich, and what to send somewhere else.
Route telemetry to Splunk, object storage, SIEMs, data lakes, observability tools, and archive destinations based on value and use case.
Parse, enrich, redact, sample, suppress, and normalize data upstream so downstream platforms receive cleaner signal.
Separate high-value searchable data from archive, replay, and lower-cost retention paths without blind deletion.
Create reusable pipeline patterns, ownership, documentation, and change control around observability data flows.
Cribl pipelines with owners, rules, and purpose
We design telemetry paths so teams know why data moves, where it lands, what changed, and how to safely modify it.
Design Cribl as the control plane between sources, destinations, retention tiers, and operational workflows.
- Source and destination inventory for security, observability, compliance, and archive use cases
- Route design for Splunk, object storage, Elastic, Datadog, SIEMs, data lakes, and custom endpoints
- Environment patterns for dev, test, production, versioning, rollback, and change approval
Transform telemetry before it becomes expensive, noisy, risky, or hard to use.
- Field extraction, normalization, sampling, suppression, masking, and enrichment logic
- PII, secret, and sensitive-data handling before data reaches downstream tools
- Custom functions and pipelines for source-specific transformation requirements
Keep access to historical evidence without sending every byte to the most expensive destination.
- Hot, searchable, archive, replay, and compliance retention patterns
- Object storage and low-cost destination strategies for investigation backfill
- Replay-ready pipeline design so teams can recover missed data when needed
Make Cribl understandable and safe for the teams that will maintain it after implementation.
- Pipeline documentation, ownership, naming conventions, and review cadence
- Testing and validation patterns for transformations, routes, and destination behavior
- Training for operations, security, data engineering, and platform teams
A telemetry pipeline your team can reason about.
Cribl work should leave behind routes, transformations, validation, and documentation that survive beyond the first deployment.
Filtering data is easy. Governing telemetry is the real work.
Teams need to know what changed, who approved it, what evidence was preserved, and whether downstream tools still receive the signal they depend on.
How we approach Cribl development
We start with the data decision, then design the pipeline around value, risk, and downstream use.
We inventory data sources, destinations, volumes, costs, retention needs, security constraints, and users.
We define what should be searchable, archived, replayable, filtered, enriched, redacted, or sent elsewhere.
We implement Stream, Edge, custom functions, transformations, routes, and destination-specific behavior.
We test fidelity, performance, and outcomes, then document patterns so your team can safely operate Cribl.
Cribl development FAQ
Straight answers for teams building a more intentional observability pipeline.
Related services
Cribl is strongest when routing strategy connects to search, security operations, and custom workflows.
Build searches, detections, dashboards, and reporting on top of clean, routed telemetry.
Learn moreBuild custom workflow tools around telemetry routing, alerting, investigation, and reporting.
Learn moreTurn external exposure and remediation findings into operational security signal.
Learn moreTake control of your observability pipeline
Tell us where telemetry is creating pain: runaway ingest, duplicated data, sensitive fields, destination sprawl, missing replay paths, or Splunk cost pressure.
Schedule a Free Consultation