Grafana

Clarify the right Grafana path for your observability signals

Grafana estates often grow by accretion: new data sources, dashboard sprawl, and rising cardinality. Teams sense cost and reliability risk before they have a coherent target architecture.

Cloud or self-managed Practical roadmap Cardinality aware Clear next steps

Why this matters

Why this matters

Without a shared roadmap, you duplicate effort, overload engineers with alerts, and make platform spend harder to defend.

Label and metric cardinality can inflate cost faster than usage forecasts.

Dashboards without standards slow incident response and onboarding.

OpenTelemetry adoption adds opportunity — and pipeline complexity — at the same time.

What you get

Clear outputs you can use

A focused assessment of your Grafana/LGTM posture: signal coverage, architecture options, cost drivers, and a prioritised plan for the next 90 days.

  • Current-state architecture and gap analysis
  • Cloud vs self-managed recommendation with trade-offs
  • Prioritised initiative backlog (ingest, dashboards, alerts, governance)

Why teams talk to GKC

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

Grounded in your tenants, data sources, and billing drivers

Independent of licence resale — architecture and delivery only

Aligned with OTel-first patterns where you are headed

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

Establish observability goals

We align on services in scope, SLO intent, and constraints (cost, skills, compliance).

2

Review stack, signals, and cost

We examine Mimir/Loki/Tempo or Cloud equivalents, cardinality hotspots, and alert/Dashboard hygiene.

3

Deliver the 90-day plan

You receive a roadmap you can execute internally or with GKC implementation engagements.

Questions teams often have

Common questions

We already pay for Grafana Cloud. Why assess?

Many teams under-use Cloud capabilities or over-pay via cardinality and retention misconfiguration. The assessment targets operational and commercial clarity.

Are you pushing migration from Datadog or Splunk?

No. We document coexistence options and only recommend migration where signals and ownership support it.

Can this stay technical — not a sales deck?

Yes. Outputs are for platform and SRE leads: architecture notes, backlog, and effort bands.

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.