Elastic

Design Elastic architecture your platform and security teams can scale

Elastic clusters fail quietly through index sprawl, weak ILM defaults, and ingest pipelines nobody owns. Without a design, cloud bills and incident triage both get harder at the same time — especially when observability and security share the same stack.

Tier and ILM design Ingest pipelines Cross-cluster search Bounded design

Why this matters

Why this matters

Tier, pipeline, and retention decisions are expensive to unwind after dashboards, detections, and alerts depend on them.

Hot/warm/cold and ILM choices track ingest volume and query patterns — design must reflect top services first.

Ingest pipelines and Elastic Agent / OTel paths belong in the architecture, not as a late add-on.

Security and observability workloads on one stack need explicit boundaries — not political defaults.

What you get

Clear outputs you can use

Scoped Elastic architecture and sizing design: deployment tiers, ingest pipelines, ILM and retention guardrails, cross-cluster search where needed, and coexistence boundaries with Splunk or SaaS observability where applicable.

  • Target-state Elastic architecture documentation (self-managed or Cloud)
  • Ingest pipeline, ILM, and retention standards for agreed domains
  • Implementation backlog for agents, integrations, Kibana spaces, and cross-cluster search

Why teams talk to GKC

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

Cloud vs self-managed trade-offs without ideology — sized for your skills and cost model

Designed for OTel-native and Elastic Agent paths when you are headed that way

Does not mandate exit from Splunk or Datadog — boundaries documented where coexistence continues

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

Confirm scope and consumers

We agree teams, environments, compliance needs, and which workloads (logs, metrics, APM, security) are in phase one.

2

Design target state

Architecture covers tiers, ingest pipelines, ILM, Kibana spaces, and integration points with ITSM or SOAR where relevant.

3

Review and hand off

You receive documentation for platform and security leads with routed next steps on this hub or general services.

Questions teams often have

Common questions

We only need more indexes. Is full architecture overkill?

If scope is a single domain, implementation may be enough. This service fits when tiering, pipelines, and multi-team tenancy need definition before scale.

Elastic already gave us a reference design.

We tailor tiers, ILM, and ingest to your teams and billing reality — not a generic multi-tenant template.

Will this force Elastic Cloud?

No. We document cloud and self-managed options with honest trade-offs for your operations model.

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.