splunk-platform-sizing

Calculate Splunk indexer counts and storage by converting daily ingest, retention, and workload inputs into deployment recommendations. This sizing process generates a machine-readable sizing.json and a detailed report without requiring live Splunk access.

Yes, you can size Splunk on Kubernetes deployments using daily ingest metrics. The sizing skill calculates requirements for both Splunk Operator for Kubernetes (SOK) and POD architectures, tailoring indexer counts and reference hardware to your workload.

To generate a Splunk Cloud sizing recommendation, you need daily ingest volume, data retention periods, workload types, and high availability (HA) settings. These inputs calculate effective ingest, search-head requirements, and reference hardware.

Splunk capacity planning supports premium apps like ES and ITSI by tailoring indexer counts, search-head requirements, and reference hardware to the specific workload demands of these applications during the sizing calculation.

The best way to plan a distributed Splunk Validated Architecture is to map daily ingest and retention inputs to SVA topologies. This approach calculates multisite scenarios, storage needs, and deployment hand-offs without live Splunk access.

No, you do not need live Splunk access to size a deployment. The capacity planning tool converts use-case inputs like daily ingest and retention into concrete deployment recommendations and topology hand-offs entirely offline.