Splunk Cost Optimization (FinOps) – Reduce Ingestion & Retention

Splunk Cost Optimization (FinOps) is a structured professional services engagement designed to reduce total Splunk costs, typically 20% to 60%, by improving efficiency across ingestion, retention, storage, and search workload, without sacrificing visibility or security coverage.

Cost drivers we optimize

• Ingestion efficiency: Identify noise, duplicates, low-value data, and opportunities to reduce volume while preserving critical telemetry and security signals

• Retention and storage: Align retention policies to business requirements, optimize indexing and storage configuration, and reduce avoidable storage spend

• Search workload and performance: Tune heavy searches, reduce unnecessary scheduled searches, improve concurrency efficiency, and optimize search patterns

• Data pipelines (AWS and non-AWS): Review onboarding paths, source types, parsing, and routing to improve end-to-end efficiency and reduce waste

• Coverage preservation: Validate that optimization actions maintain detection and observability outcomes, with clear guardrails and acceptance criteria

What you receive

• A Data Intake Audit with prioritized ingestion reduction opportunities and guardrails

• A Retention & Storage Optimization plan aligned to compliance and business needs

• A Search Workload Tuning plan to reduce compute waste and improve responsiveness

• A quantified savings model with prioritized actions (quick wins and medium-term initiatives)

• An executive summary and a practical remediation roadmap to operationalize FinOps controls over time

Who this is for

Ideal for organizations facing:

• Rising ingestion and licensing costs

• Retention/storage growth outpacing budget

• Heavy search workload is affecting performance and cost

• A need to optimize Splunk spend without reducing security/observability coverage