The first-mile control plane for your telemetry.
Control every pipeline from one neutral control plane
LyftData is a governed, vendor-neutral layer that shapes, enriches, masks, and routes logs, metrics, traces, and events before they hit your SIEMs, observability tools, or data platforms. You decide what gets delivered, where, and at what fidelity — all upstream.
The telemetry problem is no longer technical. It’s economic.
Telemetry volumes explode faster than budgets. Security and observability teams want more visibility, more context, and longer retention — but every extra gigabyte carries a price tag.
Leaders are forced into ugly trade-offs:
- •Shorten retention windows
- •Send less data to SIEM
- •Drop “low-value” logs you later need
- •Spend weeks tuning noisy agents
- •Fragment pipelines across teams and clusters
The result? Dozens of tool-specific ingestion paths, each behaving differently and billing unpredictably. You end up with unpredictable bills, unpredictable coverage, and very little control.
LyftData fixes this by creating a single, upstream control plane where every decision about your telemetry happens before it hits expensive tools.
What LyftData is
You insert LyftData between every source and every destination. Everything in between becomes consistent, governed, and visible.
Server → Workers → Jobs
ServerThe control plane that stores and manages pipeline definitions, schedules runs, and enforces policy.
WorkersLightweight executors that validate Jobs, run them close to data, and stream health back to Server.
JobsSigned, declarative pipelines (Input → Actions → Output) you can diff, review, and promote.
That simple structure unlocks immediate benefits:
- •Complete visibility into how data is shaped
- •Safe, predictable deployments
- •Consistent data policies across environments
- •Vendor-neutral routing into SIEM, observability, analytics, or storage
Everything is inspectable, auditable, and versioned from the start.
Shape data before you pay for it
Most SIEM and observability platforms bill on ingestion. Once data enters, you own the cost. LyftData lets you shape telemetry upstream — before those invoices accumulate.
Every Job can filter, mask, enrich, and route events before they cross the paywall:
- •Filter redundant events before ingest
- •Mask PII upstream instead of per-tool
- •Enrich events once and reuse everywhere
- •Send high-signal subsets to expensive tools
- •Archive full-fidelity streams cheaply for later investigations
The result: lower ingest volume, higher signal quality, better compliance — and fewer surprises on the bill.
One pipeline model = fewer moving parts
Today every tool, region, and team invents its own ingestion path. LyftData collapses that into a single, consistent model you can reason about.
- •One way of collecting
- •One way of transforming
- •One way of routing
- •One set of governance rules
Fewer ingestion patterns means fewer breakpoints, fewer urgent rewrites, and pipelines you can actually audit and trust.
Freedom from vendor lock-in
Pipelines shouldn’t depend on a vendor’s agent or UI. LyftData keeps your telemetry mobile and your pipelines vendor-neutral.
- •Route curated streams to Splunk, Sentinel, Datadog, Elastic
- •Send analytics copies to Snowflake or S3
- •Archive full-fidelity logs cheaply
- •Replay data into new tools without re-instrumenting anything
A real scenario
Before LyftData
A security team ships every EDR log straight into their SIEM. Ingest costs balloon, retention drops from 90 days to 7, and investigations stall. Masking rules differ per cluster, so governance never matches reality.
After LyftData
LyftData sits upstream from the SIEM. A Job filters redundant events, masks PII consistently, and fans out two streams: a curated subset for the SIEM and a full-fidelity archive in S3 for long-term investigations.
Result: predictable SIEM cost, restored retention, unified governance, and no change to the SIEM itself.
This is the LyftData effect — control at the first mile, not after the fact.
What you get immediately with LyftData
Jobs, Workers, Channels, Run & Trace, archives, and vendor-neutral routing become the foundation you can build on.
JobsDeclarative Input → Actions → Output definitions you can diff, review, and promote safely.
View documentationWorkersStateless executors you can add anywhere without rewriting pipelines or agents.
View documentationClone and fan out governed outputs to SIEM, observability, analytics, and archives.
View documentationValidate every Action, inspect payloads, and prove governance before deployment.
View documentationKeep full-fidelity data in your own S3/GCS/Azure buckets for years without re-ingesting.
View documentationSwap downstream tools without changing how telemetry is collected or transformed.
View documentationReady to run your first-mile control plane?
Start free, explore the capabilities, or jump straight into the docs — whichever next step proves the model for your team.
Built for real operators
Security, SRE, and data engineering teams use LyftData because it gives them control without taking away their tools.
Security teams
SRE / Observability teams
Data engineering
Every team benefits, but no team loses autonomy.