AM Auralink MetricsVancouver · Founded 2020
Platform Signals Pricing FAQ Book a Live Demo

Canadian observability SaaS for DevOps teams

Infrastructure signals, before the incident room fills up

Auralink Metrics watches cloud, container, network, and service telemetry so operations teams spot strange behaviour while it is still small.

Vancouver product team · Cloud and network observability · +1 604 398 7216

Health dashboardLive-style view
Incident risk: latency rise detected near payment dependency after deploy window.
Cloud
Network
Service

The dashboard is opinionated. If every alert is “critical,” Auralink calls that out.

18 secmedian anomaly grouping
6.4Msignals scored daily in pilot labs
41%average noisy alert reduction
12supported telemetry categories

Platform

A signal layer for the teams carrying cloud, containers, apps, and networks at once

Most operations teams already have dashboards. The problem is figuring out which dashboard is telling the truth at 2:17 a.m.

01

Cloud Signal Intake

Pull metrics, events, logs, and traces from major cloud estates, container clusters, service meshes, and network edges without naming or favouring any single vendor.

02

Anomaly Storylines

The engine groups odd behaviour into a timeline: what changed, which service felt it first, and which signals are probably noise.

03

Infrastructure Health Dashboard

Executives get health trends. Engineers get dependency maps, saturation curves, and error clusters. Different readers, same evidence.

04

AIOps Workbench

Teams review suggested causes, tune thresholds, and pin lessons learned after incidents. It is not magic. It is a faster second opinion.

05

Automated Insight Briefs

Daily and weekly summaries explain drift, hot spots, quiet failures, and capacity risk in plain operations language.

“The first useful output was not an alert. It was a note saying three alerts were probably one problem.”

Priya Kwan, Director of Platform Operations, Northbank Retail Systems Ltd.

Signal Map

From telemetry pile to explainable incident path

Auralink groups time-correlated changes, checks dependency distance, and writes a short cause hypothesis that engineers can accept, edit, or reject. No black box worship. Just a better starting point.

  • Cloud resource drift and saturation trends.
  • Container workload performance and restart patterns.
  • Network latency, loss, and edge-to-service symptoms.
  • Business service impact notes written for incident leads.

Operations Feedback

What teams noticed during pilots

“It found the boring cause. That is a compliment.”

Rowan Clarke, SRE Lead, Fraser Coast Payments Inc.

“We had six dashboards open and still missed the network queue. Auralink tied it to the service dip in one line.”

Mina Alvarez, IT Operations Manager, CanalWorks Logistics Ltd.

“Setup took longer than the sales call implied, mostly because our labels were a mess. Once mapped, the insight briefs became part of standup.”

Trevor Bell, VP Engineering, Spruce Ledger Software Ltd.

Pricing

Plans shaped around signal volume and review depth

Pilot

Four-week telemetry review with one service map and weekly findings.

Contact for pricing

Ask About Pilot

Operations

Ongoing anomaly grouping, health dashboards, and team insight briefs.

Contact for pricing

Ask About Operations

Enterprise

Multi-team views, custom retention, and private review sessions.

Contact for pricing

Ask About Enterprise

FAQ

Questions before a demo

Does this replace our monitoring stack?

No. It sits above existing telemetry sources and helps teams read the mess. Some customers later retire overlap, but that is not day one.

Do you need production data?

For a demo, no. For a serious pilot, yes: sampled telemetry, topology context, and a few known incidents make the system worth judging.

How are anomalies scored?

By change rate, blast radius, dependency position, time-of-day history, and whether neighbouring services show matching stress. Then humans still review it.

Can network teams use it?

Yes. Flow summaries, interface saturation, routing-adjacent symptoms, and packet-loss patterns can sit beside app and cloud signals.

What is the usual pilot length?

Four weeks. Less than that and the baseline is thin; longer than that and teams start debating procurement before they have learned enough.

Demo Booking

Book a Live Demo

Bring one incident you wish the team had understood faster. We will show how the signal map would group it, where it would hesitate, and what data it would need.

Auralink Metrics Inc.1055 West Georgia Street, Suite 1880, Vancouver, BC V6E 3P3
+1 604 398 7216
hello@auralinkmetrics.ca