ASGARD
Overview

Asgard product concept

See the pattern. Understand why. Take action.

Asgard watches many different signal sources without turning every peak, log, or event into another alert. It first finds changes that move together, then tells you what may be happening, why it matters, and what can happen next.

Swipe to see how it works

From signals
to one event.

01 / 05
01What needs attention?

Start with the few things that matter.

Asgard groups related changes and keeps isolated noise out of the way.

Operations12:38
Need action04
Watching02
Done today18
WHAT NEEDS ATTENTION
LINE 22m

An anomaly may be occurring

7 / 9 signals · same time window

WAREHOUSE A7m

Multiple signals moved together

Metrics + logs + events

UTILITY ROOM14m

One signal briefly spiked

Still watching · no event yet

02What changed together?

See different sources on one timeline.

Metrics, logs, sensors, traces and events can be viewed together to understand how an anomaly formed.

←ASG-2409-017•••
EVENT CANDIDATE

An anomaly may be occurring

MULTI-SOURCE · 60S WINDOW

METRIC
p95 latency +182% from baseline.

LOG
Error pattern frequency increased 2.4×.

TRACE / EVENT
Retries and state changes increased together.

Asgard
Seven of nine signals deviated together in the same window, creating one event candidate.

03What evidence is attached?

Inspect the evidence yourself.

Time-series, logs and event evidence stay with the same event so you do not have to jump between systems.

Evidence Asgard seesLIVE
METRIC
Multiple time-series move together in the same window
LOG
LOG / EVENT EVIDENCE
12:31:19 error_pattern=retry_burst · state_change × 8
04Why did this become an event?

See why Asgard grouped the signals together.

Asgard compares baselines, timing, policy and AI interpretation before deciding that a pattern deserves attention.

Why Asgard created this eventCHECK
01
BASELINESeveral signals deviated together

Seven of nine signals moved outside their own baselines in the same 60-second window.

02
CORRELATIONThe changes may belong to one event

Timing, patterns and attached evidence point to the same anomaly cluster.

03
YOUR RULECreate an event only after two windows

This condition is now met.

DECISIONCREATE EVENT AND HAND OFF

Keep the evidence and send it to the next workflow

05What happens next?

Send it to the right next step.

A person, workflow or AI agent gets the same context and can continue from there.

What should happen next?ASG-2409-017

Event created

Who should handle this?

01
Operations team

Receive the event and supporting evidence

→
02
AI agent

Query more logs, metrics, or related context

→
03
Workflow / ticket

Create the next handling step automatically

→
The full event timeline and evidence stay attached, no matter who handles it next.

Design idea

Less noise.
More clarity.

01

Show the real event

Group many related signals into one thing that actually needs attention.

02

Keep the evidence attached

Time-series, logs, sensors, events and other evidence stay with the same event.

03

Make status obvious

People should know immediately if something is being watched, needs action, or is done.

04

Help the next step happen

Send the same information to a person, workflow, or AI agent without starting over.