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Aether Cloud / Edge & IoT / Fleet telemetry
Aether Cloud · Edge & IoT

Fleet telemetry.

High-volume ingestion and time-series storage for device and sensor streams.

◇ Edge & IoT
Overview

Ingest and store high-volume telemetry from device and sensor fleets — buffered at the edge, streamed to time-series storage, and ready for dashboards, alerts and digital twins.

Where it sits
Category
Edge & IoT
Deployment
Managed → air-gapped
Governance
IAM · encryption · audit
How it works

Three steps to running.

01
Ingest at the edge

Buffer high-volume telemetry locally, stream to the cloud.

02
Store time-series

Compressed storage with fast range queries built in.

03
Feed downstream

Power dashboards, alerts and digital twins in real time.

What you get

Fleet telemetry, in full.

High-volume ingest

Millions of messages per second with edge buffering.

Time-series native

Compressed storage and fast range queries built in.

Stream-ready

Feed stream processing, alerts and twins in real time.

Backfill

Reconcile data buffered offline without gaps.

API-first

Provision it in a few lines.

Every service is reachable from the same SDK, CLI and infrastructure-as-code — one identity, one bill, one audit trail across the whole catalog.

# Provision fleet telemetry on Aether Cloud
aether edge-iot create \
  --service fleet-telemetry \
  --name app \
  --region us-1 \
  --deploy managed   # or vpc | on-prem | air-gapped
Specs

At a glance.

Ingest
Millions msg/sec, buffered
Storage
Time-series native
Streaming
Real-time downstream
Backfill
Reconcile offline gaps
Use
Twins · maintenance
Use cases

Built for real work.

01

Sensor and telemetry pipelines

02

Predictive maintenance

03

Digital-twin feeds

Why one platform

On one model, not stitched together.

The usual stack runs fleet telemetry in one product, the model in another and the data in a third — and the seams between them are the cost. Aether Cloud runs it on the same platform that serves the model, governs your identity and deploys into your boundary, with the rest of the catalog one hop away.

One platform

No stitching a vector DB to one place, a warehouse to another and a model to a third — fleet telemetry sits next to the rest of the catalog, one identity, one bill.

The model is here

The provider that runs Aether runs your fleet telemetry — so the data and the model never leave the same governed boundary to talk to each other.

Built on demand

Need a capability that isn’t here yet? The model writes and deploys it into the same boundary — the catalog is a starting point, not a ceiling.

FAQ

Good to know.

How does this compare to AWS IoT or time-series databases?

High-volume telemetry ingestion and time-series storage — feeding digital twins and predictive maintenance.

What if devices go offline?

Edge buffering and backfill reconcile data without gaps.

Can it feed a twin?

Yes — streams power digital twins and alerts in real time.

Deploy anywhere

Your boundary, your choice.

Managed
Your VPC
On-prem
Air-gapped / sovereign

Run Fleet telemetry on Aether Cloud.

High-volume ingestion and time-series storage for device and sensor streams. Deployable managed, in your VPC, on-prem or fully air-gapped — talk to us about the configuration your workloads and your boundary require.