Indexer and search-head sizing decisions at go-live shape cost-to-serve for years.
Splunk Platform
Stand up Splunk Platform with a bounded greenfield implementation
Greenfield Splunk work expands easily — every team wants their data in day one, every app looks essential. Without scoped topology and ingest strategy, go-live slips and operating cost is baked in too early.
Greenfield scoped Forwarder strategy Baseline apps Admin handover
Why this matters
Why this matters
Poor day-one design creates years of search pain, licence pressure, and blocked ES or observability programmes downstream.
Forwarder architecture mistakes are painful to refactor after production dependence.
Baseline apps and naming standards reduce upgrade and ownership friction later.
What you get
Clear outputs you can use
Scoped greenfield Platform implementation: core deployment topology, heavy/light forwarder strategy, baseline apps, initial onboarding patterns, and admin handover.
- ✓ Deployment design and build for agreed scope (on-prem or Splunk Cloud Platform)
- ✓ Forwarder and ingest patterns for initial priority sources
- ✓ Admin runbooks, naming standards, and handover for day-2 operations
Why teams talk to GKC
Calm, practical, and grounded in the environment you already have
Scope tied to environment tier and source count — not “implement everything”
Designed so internal teams own upgrades and expansions after handover
Flags when ES or Observability should wait until Platform foundations are sound
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
Design to agreed scope
We confirm use cases, ingest volumes, compliance constraints, and fix topology, security, and source scope in the SOW.
2
Build and validate core services
Deployment, forwarders, baseline apps, and initial onboarding are implemented with test evidence and platform peer review.
3
Go-live and hand over
You receive runbooks, monitoring guidance, and a backlog for the next onboarding or optimisation wave.
Questions teams often have
Common questions
Splunk PS is already building the cluster. Can GKC still help?
Yes. We can own a scoped stream — sourcetype standards, forwarder rollout, or handover runbooks — alongside Splunk or a prime integrator.
Does this include full ES go-live?
No. ES is a separate hub and scope. We will align prerequisites so ES work is not started on untrusted data.
Cloud Platform vs Enterprise — do you cover both?
We deliver against your chosen model in scope. Hybrid patterns are documented; dual builds are change-controlled.
Related services
If this is close, these may be relevant too
Splunk Platform
Platform Health Check & Architecture Review
A bounded Platform health check: cluster topology, search and scheduler load, knowledge object hygiene, and prioritised recommendations ordered by risk and effort.
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.
Operational Risk and Control
Environment Review
The Environment Review gives you a practical view of how the current environment is structured, where key risks or knowledge gaps sit, and what needs attention first.
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.