Reduce Splunk ingest cost
Filter, drop, redact, and route telemetry at the OpenTelemetry Collector layer using LinkMesh. Keep the data you need. Stop paying to ingest the data you don’t. Self-hosted, vendor-neutral, and priced per collector — not per gigabyte.
25 Collectors free after a no-card registration · 5 without one How the free tier works
Splunk’s value is real, but its ingest-based pricing means every low-value log costs as much to land as a critical one. These are the reasons the bill grows faster than the signal.
Splunk bills by the gigabyte ingested. Every health-check line and debug log costs the same to land as the events you actually query.
Readiness probes, polling chatter, retry storms, and duplicated fields make up a large share of most log pipelines — indexed, retained, and rarely read.
The Universal Forwarder ships what it’s pointed at. Meaningful reduction means transforming telemetry upstream, not at the destination.
Sensitive fields slip into logs and get indexed in Splunk, where they’re retained and queryable long after they should have been dropped.
Security-relevant logs and low-value debug output go to the same expensive index, because there’s no layer deciding what belongs where.
Nobody drops data in production without a way to see exactly what a filter removes first. So the volume — and the bill — keeps growing.
Splunk sells two, and they reward opposite behaviour. Everything below depends on which one you are measured by, so it is worth settling before estimating anything.
A single dimension: you buy a daily volume in advance and are measured against it each day. The busiest day therefore matters more than the monthly average, and a month that looks comfortable can still contain a day that went over.
What moves it: filtering moves this directly, and a rate limit at the collector protects the peak. Reducing the average while leaving the spike in place is the common mistake.
Capacity is measured in SVCs, driven primarily by how much searching you do and how complex it is, alongside indexing volume. The provisioned SVC count sets the ceiling of the system.
What moves it: volume reduction helps less here. The honest answer is that dashboards, scheduled searches and their time ranges are the bigger lever — a Splunk-side change, not something a telemetry pipeline can do for you.
Mechanics as Splunk documents them, not as we would like them to be — check them against your own contract, which may differ. Splunk pricing models. Telemetry reaches Splunk through the collector’s splunk_hec exporter, so every change below happens before that exporter runs.
LinkMesh manages the processing that happens on your collectors. Telemetry is filtered, sampled, and masked where it’s produced, then only what you choose is routed to Splunk — the rest goes to cheaper storage or nowhere at all. Your telemetry never passes through LinkMesh.
Enter your own volume and cost per GB. Everything is editable, and every figure is an estimate for planning — LinkMesh does not set or represent Splunk pricing.
Estimated annual impact
Estimates only, for planning. Actual savings depend on your data, contract, and how aggressively you filter. LinkMesh does not set or represent Splunk pricing.
01
Problem
Health checks, readiness probes, and polling noise are ingested and indexed at full price, then almost never queried.
LinkMesh
Write filter rules that read plainly — drop where service.name = "health-check" — and apply them at the Collector, before anything reaches Splunk. LinkMesh renders the rule to OTTL and pushes it across the fleet.
The noise never reaches a billed index. Same signals, a fraction of the volume.
How-to: drop noisy logs →
02
Problem
Debug output and high-cardinality, high-volume events multiply your ingest without a matching increase in value.
LinkMesh
Keep debug locally or route it to cheap storage; statistically sample repetitive events; trim duplicated and unused attributes that inflate every record. All at the source, as managed processors on the collector.
Send Splunk the events worth indexing — not every retry and every field.
How processors transform telemetry →
03
Problem
When one pipeline sends everything to Splunk, low-value telemetry pays the same premium as your security-critical logs.
LinkMesh
Define routes by label, source, or environment: send security-relevant logs to Splunk and fan the rest to object storage, a cheaper backend, or an OTLP destination — from the same collector, with a different processing chain per route.
Splunk keeps the data that belongs there; everything else stops paying Splunk prices.
How routes fan telemetry to backends →
04
Problem
Credit cards, emails, tokens, and IDs slip into logs and get indexed in Splunk, where they’re retained and queryable by people who shouldn’t see them.
LinkMesh
Apply masking processors on the host, before telemetry leaves your network. Built-in templates for common patterns plus custom OTTL rules for your fields — so sensitive values never reach the index.
Sensitive data is gone before egress — not something to scrub from Splunk later.
How-to: mask PII before egress →05
Problem
Nobody drops data in production on faith. Without a way to see what a rule removes, the safe choice is to ingest everything — and keep paying.
LinkMesh
LinkMesh previews each processor against real captured records: input on one side, the rule and generated OTTL in the middle, the output on the other. You see exactly what a filter keeps and drops before it reaches a single collector.
Cut with confidence, because you saw what the rule does before it ran.
How-to: filter records on a route →06
Problem
A cost project shouldn’t become a rip-and-replace migration — and coupling every collector directly to Splunk makes any future change a fleet-wide rewrite.
LinkMesh
LinkMesh sits in front of Splunk as a vendor-neutral collection and processing layer built on standard OpenTelemetry Collectors and Grafana Alloy. Splunk stays your backend; LinkMesh manages what reaches it — and the same layer can route elsewhere the day you want to.
Lower the bill now without locking yourself to any one backend later.
How-to: route to another backend →The product
Left alone, none of this gets cheaper: the volume grows on its own, the data that already left cannot be recalled, and each agent added is one more to remove later.
By filtering, dropping, sampling, and routing telemetry at the OpenTelemetry Collector layer — before the data reaches Splunk. Splunk bills by ingested volume, so removing low-value data at the source directly reduces what you pay to ingest.
No. LinkMesh sits in front of Splunk as a collection and processing layer. Splunk stays your backend; LinkMesh manages the collectors and controls what telemetry reaches it. The same layer can also route telemetry to other backends if you choose.
You decide what is dropped. Every filter is previewed against real records — input, rule, and output side by side — before it reaches a collector, so you see exactly what is kept and removed. You can route lower-value data to cheaper storage instead of dropping it.
No. LinkMesh is self-hosted and carries only configuration and health. Filtering runs in your own collectors, and your telemetry flows straight from them to Splunk or your other backends — it never transits LinkMesh.
It depends on your data and how aggressively you filter — measure health-check noise, debug logs, and other removable records in a representative sample before estimating savings. Use the calculator on this page with your own GB/day and cost per GB to estimate it. LinkMesh does not set or represent Splunk pricing.
By managed collector, never by data volume. The first 25 collectors are free after a no-card registration in the OpenSight Customer Portal (5 without one); beyond that it is a flat USD 12.50 · CHF 12.00 · EUR 12.50 per collector per month, billed annually, and the bill stops growing at 200 collectors. Your savings scale with volume; your LinkMesh cost does not.
Self-hosted, vendor-neutral, priced per collector. Stand LinkMesh up, preview your filters against real records, and cut ingest with confidence. The first 25 Collectors are free after a no-card registration in the OpenSight Customer Portal (5 without one).
Install the control plane on any Linux VM — Ubuntu / Debian
curl -fsSL https://artifacts.saas.opensight.ch/binaries/linkmesh-server/latest/linkmesh-server_latest_amd64.deb -o linkmesh-server.deb && sudo apt install -y ./linkmesh-server.debRHEL / Rocky / AlmaLinux, collector enrollment, and the full walkthrough: Install guide →
Start with one test collector.
Save the current configuration, connect one collector and verify a real signal in your backend. Test one change and its rollback before expanding to the fleet.
No email required for the download. Includes failure tests, rollback and checks for ingest-cost assumptions.