Nobody touches the pipeline.
So the bill keeps climbing.
- Logs nobody reads. Dashboards nobody trusts.
- One person owns the config — everyone else is afraid to touch it.
- Last time someone did, monitoring went dark mid-incident.
- So nothing changes. And the invoices climb.
Magpie makes OTel pipeline changes safe — canaried, health-gated, auto-rolled-back. Ship config changes without the fear.
Looking for teams with 50+ collectors under cost pressure. No credit card required.
Your pipeline is too fragile to touch.
Infra cost keeps climbing. Nobody wants to touch the pipeline because it might break production. So nothing changes — and monitoring breaks during incidents anyway because the config drifted months ago.
of collected telemetry is never queried
Industry researchof cloud spend goes to observability
Platform engineering surveysof orgs actively controlling observability costs
2026 reportsHas your monitoring ever gone dark because the pipeline was too fragile to touch?
Debug logs shipping to prod. Duplicated exporters nobody remembers adding. Metrics no dashboard references. Everyone knows it's there — but one bad config push means 40 minutes of blindness during an incident. Remove the blast radius and the savings unlock themselves.
Ship cost cuts without breaking observability.
Magpie identifies what to cut — then deploys the fix through a phased rollout. Canary first. Health-gated promotion. Automatic rollback if anything degrades. Your observability stays intact while your bill drops.
Savings are reversible
Every cost-cutting config change auto-rolls-back if health degrades. Drop debug logs today, undo in 2 seconds if something needs them.
Canary before fleet
A filter that saves $8K/mo hits 10 hosts first. If pipeline throughput dips or error rates spike, the rollout halts — your fleet never sees it.
See the blast radius
Before you drop a log level or sample a trace pipeline, Magpie shows exactly how many hosts and how much volume the change affects.
No observability gaps
Health signals are watched continuously during soak. If the savings come at the cost of visibility, the system catches it before you do.
Audit everything
Every cost optimization applied, reverted, or promoted is hash-chained in an append-only log. Know what changed, when, and who triggered it.
Git stays source of truth
Every applied recommendation writes back as a PR. Your team reviews cost changes like any other code change. No governance regression.
The reason teams don't cut telemetry costs isn't that they can't find what to cut — it's that deploying the fix is terrifying. Magpie makes it safe, so the savings actually happen.
Cost control, through your own fleet.
Magpie analyzes collector self-telemetry — metadata only, never your actual data — to find what to cut and ship the fix. Each stage earns the trust for the next.
Per-pipeline volume and cardinality accounting from collector self-telemetry. Know what you ship, where, and what it costs.
Building with design partnersConcrete config diffs that drop never-queried logs, sample high-volume traces, and deduplicate exporters. With projected savings.
Building with design partnersOne-click apply through canary + rollback. Every recommendation ships through the safe-change engine. PR write-back to git.
RoadmapPolicy-bounded autonomous optimization. "Keep log volume under X GB/day, never touch error-level." Earned via ledger history.
RoadmapNo new data path
Acts through your existing OTel collectors. No proprietary agent, no proxy, no man-in-the-middle.
No ingest conflict
Unlike backend vendors, we have zero revenue tied to your telemetry volume. We win when your bill drops.
Metadata only
Analyzes throughput, cardinality, and pipeline stats. Your actual telemetry data never transits Magpie.
The empty square nobody occupies.
Neutral. Self-hostable. Cost optimization through existing OTel collectors. With safe-change machinery. Nobody else is here.
Minutes-to-hours rollouts. Zero telemetry-aware safety. Override sprawl at scale.
Sub-2s propagation with canary gates and auto-rollback. One system for K8s and VMs.
Cloud-locked. No self-host. Structurally conflicted against cutting your ingest bill.
Self-hosted, Apache 2.0. Backend-neutral — we have no ingest revenue to protect.
New vendor agent in your data path. $2,500/mo+ floors. Not OTel-native.
Acts through your existing otelcol-contrib. No new agent. No new data path. OTel-native.
Deliberately incomplete. Example server only. No cohorts, canary, or rollback. You build and maintain everything.
Production-ready control plane. Phased rollouts, scoped targeting, audit trail — shipped.
One binary. No dependencies. Five-minute deploy.
Single Go binary. SQLite for small fleets, Postgres when you scale. The agent wraps vanilla otelcol-contrib — unmodified, unforked, always upstream. Magpie is not in the data path.
Become a design partner.
We're looking for platform teams running 50+ OTel collectors under cost pressure. Get free Business-tier access for 6 months, direct support, and shape the cost optimization roadmap.
Looking for teams with 50+ collectors under cost pressure. No credit card required.
Free for 6 months
Full Business tier — cost intelligence, automation, priority support
Shape the product
Direct roadmap influence. Your pain points become our sprint priorities.
5-min quickstart
Apache 2.0, single binary. Deploy the wedge today, cost layer when ready.