Security and operations often need different sinks — routing must reflect both without duplicating everything.
Bindplane
Design multi-backend telemetry routing that teams can defend
Duplicate full-fidelity export to every platform is expensive. Under-routing loses security or SRE coverage. Someone needs an explicit routing model — not tribal knowledge in processor chains.
Multi-sink routing Coexistence model Sampling aware Cost boundaries
Why this matters
Why this matters
Routing mistakes show up as surprise bills, missing forensic logs, or dashboards that disagree during incidents.
Cribl reduction may belong before or after collectors — order affects what each backend sees.
Sampling for traces and logs should be designed per destination, not copied blindly.
What you get
Clear outputs you can use
Scoped multi-backend routing design for Bindplane-managed or converging OTel fleets: which signals go where, processor/enrichment order, sampling implications, and implementation backlog.
- ✓ Routing matrix: signal types, destinations, retention, and ownership
- ✓ Processor and exporter architecture for agreed paths
- ✓ Implementation backlog for Bindplane configs and backend onboarding
Why teams talk to GKC
Calm, practical, and grounded in the environment you already have
No rip-and-replace narrative — coexistence with Splunk Platform, ES, Grafana, Elastic documented
Pairs with general ingestion optimisation when finance needs a unified story
Implementation scoped separately — design ends in actionable configs
What happens next
A straightforward first step
We keep the first step straightforward so you can understand fit, scope, and likely value before deciding what to do next.
1
Map stakeholders and signals
We align security, SRE, and platform requirements per signal type and compliance constraints.
2
Design routing and processors
Routing architecture covers exporters, enrichment, sampling, and Cribl interaction as scoped.
3
Hand off for build
You receive design pack and sequenced implementation on Bindplane and backend hubs.
Questions teams often have
Common questions
Can one backend be enough?
Often yes. This engagement is for estates that genuinely need multi-sink routing — we will say if simplification is the better outcome.
Will you implement Splunk and Grafana too?
Routing design is fleet-layer. Backend-specific depth stays on Splunk Platform, Grafana, or other hubs — coordinated, not hidden in one SOW.
What about vendor-neutral OTel only?
Routing design is vendor-neutral at the collector layer. Destinations are your chosen backends — documented with trade-offs, not religion.
Related services
If this is close, these may be relevant too
Bindplane
Bindplane Architecture & Fleet Design
Scoped Bindplane architecture and fleet design: agent/collector topology, HA and secrets patterns, environment model, RBAC, and integration with CI/CD or GitOps as scoped.
Splunk Platform
Index & Retention Strategy (Cost-to-Serve)
Index and retention strategy review: tiering, archival, ingest heat maps, and pipeline reduction options (including Cribl where architecture fits) with a prioritised implementation backlog.
Grafana
Loki Log Pipeline Optimisation
A scoped optimisation of your Loki ingest path: label strategy, retention, agents/collectors, and query patterns — with measurable before/after targets.
Value and Cost Clarity
Data Ingestion Optimisation
Data Ingestion Optimisation reviews where data volume is coming from, what is worth retaining, and where fast savings may be available.
Next step
Start with a practical conversation
We can talk through the environment, what is making this feel urgent or uncertain, and whether this service is the right fit. If another starting point makes more sense, we will say so.