Elastic

Clarify where Elastic fits across observability, security, and search

Elastic estates often grow by accretion — logs in one cluster, APM pilots elsewhere, security use cases debated in parallel. Teams sense cost and complexity risk before they have a coherent target architecture or an honest view of when Elastic complements versus replaces other platforms.

Cloud or self-managed Unified stack view Practical roadmap Coexistence aware

Why this matters

Why this matters

Without a shared assessment, you duplicate ingest, overload analysts with noisy signals, and make platform spend harder to defend to engineering and security leadership.

Logs, metrics, APM, and security workloads have different architecture and licensing implications — conflating them drives sprawl.

Elastic Cloud vs self-managed trade-offs need honest sizing, not generic reference slides.

OpenTelemetry and Elastic Agent choices affect portability — assessment should reflect where you are headed, not only today’s agents.

What you get

Clear outputs you can use

A focused assessment of your Elastic posture: deployment model, use-case fit (observability vs security vs search), cost drivers, and a prioritised plan for the next 90 days — with factual coexistence notes where Splunk, Datadog, or other stacks remain in play.

  • Current-state architecture and gap analysis across agreed workloads
  • Cloud vs self-managed recommendation with trade-offs for your teams and cost model
  • Prioritised initiative backlog (ingest, ILM, observability, security scope) for the next 90 days

Why teams talk to GKC

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

Independent comparison — when Elastic fits vs Splunk or Datadog without trash-talking incumbents

Grounded in your tenants, data streams, and billing drivers

Does not mandate rip-and-replace — coexistence options documented where signals support it

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 scope and outcomes

We align on workloads in scope (logs, metrics, APM, security), SLO intent, and constraints (cost, skills, compliance).

2

Review stack, signals, and cost

We examine cluster or Cloud deployment, ingest paths, index/ILM posture, and observability or security coverage gaps.

3

Deliver the roadmap

You receive a prioritised plan you can execute internally or with GKC architecture, implementation, or optimisation engagements.

Questions teams often have

Common questions

We already pay for Elastic Cloud. Why assess?

Many teams under-use Cloud capabilities or over-pay via retention and ingest misconfiguration. The assessment targets operational and commercial clarity — not licence upsell.

Are you pushing migration from Splunk?

No. We document coexistence options and only recommend consolidation where signals, ownership, and workflows support it.

Can this stay technical — not a sales deck?

Yes. Outputs are for platform, SRE, and security 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.