Exporter sprawl without templates makes every backend change a custom project.
Bindplane
Standardise OpenTelemetry collector pipelines across your fleet
Every cluster’s collector YAML tells a different story. Platform teams spend incident time guessing which processors ran — while backends inherit inconsistent attributes and costs.
Pipeline templates Config packs Consistent attributes Fleet-wide governance
Why this matters
Why this matters
Standard pipelines make Bindplane rollouts worthwhile and make backend migrations feasible later.
Processor chains copied from blog posts introduce subtle cardinality and drop issues.
Standardisation must leave room for team-specific namespaces — not one global dictator config.
What you get
Clear outputs you can use
Bounded OTel collector standardisation programme: baseline pipeline templates, processor and exporter standards, Bindplane config packs (or migration path), and validation on priority routes.
- ✓ Approved pipeline templates and Bindplane config packs for agreed tiers
- ✓ Rollout plan for standard configs on priority clusters or environments
- ✓ Governance workflow for proposing new processors and exporters
Why teams talk to GKC
Calm, practical, and grounded in the environment you already have
Validated on representative clusters and backends — not lint-only YAML review
Coordinates with OTel instrumentation so applications emit compatible attributes
Cribl reduction stages documented when they sit after collectors
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
Define standards and tiers
We agree pipeline tiers (gateway, agent, namespace), attribute rules, and backends per tier.
2
Build and pilot templates
Templates deploy to pilot fleets with before/after validation on signals and cost proxies.
3
Roll out with governance
You receive approval workflow, training notes, and backlog for remaining environments.
Questions teams often have
Common questions
Is this duplicate of OTel pipeline optimisation?
Optimisation fixes hot paths and cardinality crises. Standardisation establishes fleet-wide templates and governance — complementary scopes.
Teams insist on custom configs per app.
Standards allow extension points — we design tiers so customisation is controlled, not forbidden or anarchic.
We do not use Bindplane yet.
Templates can target GitOps-managed collectors first. Bindplane packs are optional where fleet management is planned.
Related services
If this is close, these may be relevant too
OpenTelemetry (OTEL)
Pipeline Optimisation (Cardinality, Cost, Quality)
Scoped OTel pipeline optimisation: processor chains, attribute governance, sampling adjustments, and drop rules with stakeholder sign-off — measured against agreed cost and quality targets.
Bindplane
Bindplane Implementation (Scoped Rollout)
Scoped Bindplane implementation: pilot fleet deployment, config migration from legacy management, production waves, validation, and platform handover.
Splunk Platform
Data Onboarding & Sourcetype Design Accelerator
Accelerated onboarding for agreed priority sources: sourcetype design, parsing, field extraction, CIM alignment, and validation evidence your platform team can maintain.
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.