OpenTelemetry (OTEL)

See where OpenTelemetry will actually help — and what to fix first

OpenTelemetry promises portability, but estates often inherit duplicate agents, inconsistent attributes, and collectors that grew faster than governance.

Vendor-neutral Collector-aware Backend-agnostic Prioritised plan

Why this matters

Why this matters

Without a maturity baseline, teams duplicate effort, leak cardinality into backends, and delay the very portability they adopted OTel for.

Inconsistent resource attributes break correlation across traces, metrics, and logs.

Ungoverned collectors become single points of failure in production.

Backend debates stall when signal requirements are not written down.

What you get

Clear outputs you can use

A bounded assessment of your OTel instrumentation, collector topology, and backend alignment — with a prioritised adoption and remediation plan.

  • Maturity scorecard across instrumentation, collectors, and governance
  • Reference pipeline diagram for target state
  • Prioritised backlog (standards, pilots, migrations)

Why teams talk to GKC

Calm, practical, and grounded in the environment you already have

Recommendations reference your backends (Splunk, Grafana, Elastic, SaaS) without lock-in

Pairs naturally with Bindplane fleet work where collectors are centrally managed

Delivered as engineering artefacts, not generic OTel training

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 signals and stakeholders

We identify critical services, current agents/SDKs, and who owns platform vs application instrumentation.

2

Assess collectors and attributes

We review collector deployment patterns, processors, sampling, and attribute consistency on representative paths.

3

Publish the adoption plan

You receive standards guidance, pilot service list, and effort bands for implementation waves.

Questions teams often have

Common questions

We already chose Datadog/Splunk. Why OTel?

OTel is often the instrumentation layer regardless of backend. The assessment clarifies what to standardise now so you are not locked out of future changes.

Isn’t OTel only for cloud-native shops?

No. Hybrid estates benefit from consistent attributes and collectors; we scope to workloads that justify the effort first.

Will this require rewriting every application?

No. We prioritise auto-instrumentation, collector-side enrichment, and a phased service list — not big-bang rewrites.

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.