Retention without business input deletes data investigators still need.
Splunk Platform
Right-size Splunk retention and ingest cost with a clear strategy
Licence and storage conversations get emotional when teams lack a data-level plan. Retention defaults linger, cold storage is underused, and pipeline reduction options are debated without evidence.
Tiering design Honest cost view Pipeline options Risk-aware cuts
Why this matters
Why this matters
Cost-to-serve decisions affect what security and operations can search months later — cutting blindly creates coverage gaps; keeping everything creates budget pain.
Hot/warm/cold and frozen tiers only help when ingest and search patterns are understood.
Pipeline reduction belongs in architecture — not as a panic reaction at renewal time.
What you get
Clear outputs you can use
Index and retention strategy review: tiering, archival, ingest heat maps, and pipeline reduction options (including Cribl where architecture fits) with a prioritised implementation backlog.
- ✓ Ingest and retention heat map with tiering recommendations
- ✓ Archival and routing options with trade-offs spelled out for stakeholders
- ✓ Prioritised implementation backlog — Splunk-side and pipeline as scoped
Why teams talk to GKC
Calm, practical, and grounded in the environment you already have
Uses your ingest and search patterns — not industry-average scare statistics
Aligns with general observability cost and ingestion offers when overlap helps
Documents compliance and security retention needs before recommending reductions
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 data and constraints
We review ingest volumes, index usage, compliance retention, and the reports or detections that depend on specific data ages.
2
Model tiering and pipeline options
Scenarios for retention, archival, and reduction (including Cribl where fit) are compared with explicit trade-offs.
3
Deliver an implementation backlog
You receive a plan platform, security, and finance stakeholders can act on — without a forced renewal narrative.
Questions teams often have
Common questions
Will you tell us to drop Splunk licencing?
We recommend what fits your data and workflows. Reduction is one option; better tiering, routing, or parsing fixes are often the first practical steps.
Legal says we must keep everything seven years. Can you still help?
Yes. Strategy work includes compliant archival and search patterns — not one-size retention cuts.
We do not use Cribl. Is pipeline talk still relevant?
Pipeline options are advisory. Splunk-side tiering and ingest discipline still stand alone when Cribl is not in scope.
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.
Value and Cost Clarity
Data Ingestion Optimisation
Data Ingestion Optimisation reviews where data volume is coming from, what is worth retaining, and where fast savings may be available.
Value and Cost Clarity
Observability Cost Visibility
Observability Cost Visibility gives teams a clearer view of what is driving cost, where patterns are changing, and which areas deserve attention first.
Splunk Platform
Search & Reporting Optimisation
Bounded search and reporting optimisation: scheduled search review, summary indexing or acceleration options where fit, workload management guidance, and a prioritised fix backlog.
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.