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Logmetry

Solutions

The problems this work solves.

Every solution below is the same architecture applied to a different pressure: a control layer you own deciding what each destination receives, with full-fidelity history in storage that is yours.

Pick the pressure you feel

Seven pressures, one architecture: each tab says what it fixes and what the work does, and opens its own page.

AI token efficiency

Your agents should spend their tokens reasoning, not translating field names.

A Lake normalized to open schemas makes every agent reach better verdicts and spend fewer tokens on each investigation.

  • Parse every source in your control layer, in flight, before anything lands.
  • Enrich each event with what the source never knew, from your directory to the team that owns the host.
  • Map security events to OCSF, and metrics, logs and traces to OpenTelemetry semantic conventions.
AI token efficiency, in full →

Cost optimization

Pay analytics-tier prices for signal, not noise

SIEM and APM cost optimization means deciding upstream what each destination receives, so the expensive platforms bill on signal and everything else lands in storage you own.

  • Filters noise, duplicates, and oversized fields before indexing, so your platform only pays for signal.
  • Archives verbose data to open-format object storage at a fraction of analytics-tier pricing.
  • Enriches and normalizes events in flight, so detections and dashboards get cleaner inputs.
Cost optimization, in full →

Fast migrations

Migration as a parallel run, not a leap

With a control layer in front of the stack, a SIEM migration becomes a parallel run plus a routing change: both platforms receive the same feed until the new one is proven, then the cutover is a percentage.

  • Fork at the source and write to old and new platforms in parallel from one collection layer, with no duplicate forwarders.
  • Transition source by source at your own pace, retiring old routes only when validation passes.
  • Keep full fidelity in open-format storage throughout, so the compliance archive never has a gap.
Fast migrations, in full →

Data governance

Policy that travels with the data

Pipeline-level governance masks sensitive fields, routes by compliance tier and jurisdiction, and keeps audit evidence, all before data leaves your environment.

  • Masks and tokenizes sensitive fields in flight, before data lands anywhere.
  • Classifies sensitive data automatically, so new sources inherit the right handling rules.
  • Routes by compliance tier and jurisdiction, so regulated data lands on compliant storage in the right region.
Data governance, in full →

Multi-tenant pipelines

One control layer across every client

Multi-tenant pipeline design gives MSPs and MSSPs per-tenant routing, isolation, and cost attribution from one control layer, so onboarding a client is configuration rather than a project.

  • Tags and isolates each tenant the moment data enters the pipeline, before it reaches any SIEM or APM.
  • Routes per tenant to dedicated indexes, workspaces, or storage partitions, with isolation that holds across destinations.
  • Attributes volume and cost per tenant at ingest, so billing is accurate and the noisy client is visible.
Multi-tenant pipelines, in full →

Vendor independence

Make every platform easy to leave

Vendor independence means decoupling collection from destinations, so changing a SIEM or APM is a routing change instead of a rebuild, and every renewal is negotiated from strength.

  • One collection layer routes to many destinations at once, including your current platforms and candidate replacements.
  • Data normalizes to open schemas in the pipeline, so it arrives ready for whichever platform you choose.
  • Full-fidelity history lands in storage you own and replays into any destination, so no platform holds your past hostage.
Vendor independence, in full →

Telemetry modernization

An estate that scales by decision, not by accident

Telemetry modernization means collecting once at the edge, normalizing in flight, and tiering every event by value, so growth in volume stops translating directly into growth in cost.

  • Collects once at the edge across endpoints, containers, Kubernetes, and serverless, on the open standard every vendor accepts.
  • Normalizes fields and schemas in flight, so the same event reads consistently in every destination.
  • Tiers by value: signal to the platforms, full-fidelity copies to storage you own for replay and audit.
Telemetry modernization, in full →

See your architecture drawn, with the costs, before you spend anything.

Our lead architects draw your SIEM feed from your diagrams: where the cost sits, what step one would change, and where it would not pay. If it pays, the next step is a two-week proof on your noisiest source.

Free. No system access. No obligation. You keep the drawing.

What you get

  • Your architecture today, drawn
  • The waste map
  • Costs before and after, with estimates
  • Your target architecture
  • Options for your business problem

What it costsNothing