D3 Framework — Enterprise Dashboard

Efficiency class

—

No data yet

Landauer waste

—

annual estimate

Bits erased / sec

—

across infrastructure

Active alerts

—

unresolved

Landauer waste — W (last readings) 0 points

Current efficiency

—

Run an audit to see your class

◆ Landauer waste by node — live (W)

◆ Efficiency class distribution

What these charts mean plain English

Audit history 0 records

Date	Servers	Class	Waste (W)	Annual cost	Workload
No audits recorded — run your first audit

Recoverable energy cost · fleet-wide / year

$0 — range —

Connect your fleet to see how much energy you spend above the thermodynamic minimum.

Fleet draw

— MW

vs hyperscaler avg

—

Fleet class

—

Top actions — ranked by annual savings —

The fastest wins first. Each row is a concrete change and the energy cost it removes per year. Cooling and consolidation are ordered by impact.

#	Action	Target	Saves / yr
Awaiting fleet data…

By cluster —

Recoverable / yr

$—

at $0.08/kWh

Landauer waste

— W

above thermodynamic floor

Bits erased / sec

—

irreversible operations

Fleet PUE est.

—

power usage effectiveness

Live waste meter ● LIVE

Spent above Landauer limit since page opened

$0.0000

$0.00per hour

$0per year

based on your live metrics

Efficiency class

Trend vs yesterday

—

0%

measuring…

Send test metric Classify any hardware → live

Hardware presets — one click to load values

Server ID

Temperature (K)

Power (W)

Operations / sec

▾ The physics behind these numbers

Ratio above Landauer limit — live log scale · A–F zones

Each line is one server, plotted against the thermodynamic floor (dashed, bottom). Green band = near quantum-limit hardware; red = critical waste. This is where the dollar figures above come from: distance above the limit × power × electricity rate.

Waste per server — worst to best

Bits erased / sec per server

Server fleet 0 servers

Alert timeline 0 alerts

Raw metrics feed ● streaming

Time	Server	Class	Waste	Ratio

Last reading

—

recorded at

Total readings

—

in database

Avg waste

—

watts above limit

Active alerts 0

No active alerts

D3 efficiency audit

Servers

Power / server (W)

PUE 1.0 = ideal · 1.5 = typical · 2.0 = poor

CPU

Workload

Electricity ($/kWh)

Generate report

Generate a comprehensive efficiency report covering the last 7 days — efficiency class, Landauer waste, alert history, and recommendations.

View report page

Python monitoring agent

Install on each server. Sends metrics every 60 seconds.

d3_agent.pyPython 3.8+

REST API reference

Endpoints

Prometheus scrape config

prometheus.yml

AWS CloudWatch integration EC2 / ECS / Lambda

Run this script on each EC2 instance to push metrics to D3 every 60 seconds. Requires AWS CLI installed and CloudWatch read permissions.

Datadog integration APM / Infrastructure

Send D3 efficiency metrics to Datadog as custom metrics. Add this to your Datadog agent configuration.

datadog_d3.py

Organisation credentials

Include your API key in all requests as Authorization: Bearer YOUR_KEY

Slack webhook

Get alerts in Slack when efficiency drops or waste exceeds threshold.
Go to: Slack → Apps → Incoming Webhooks → Add to Slack → copy URL.

Slack webhook URL

Microsoft Teams webhook

Go to: Teams channel → Connectors → Incoming Webhook → copy URL.

Teams webhook URL

PagerDuty

Go to: PagerDuty → Services → Integrations → Events API v2 → copy routing key.

PagerDuty routing key

Team members 0 members

Name	Email	Role	Status	Joined	Actions
No team members yet

Invite team member

Email

Name

Role

Role permissions

Feature	Member	Analyst	Admin
View dashboard	Yes	Yes	Yes
View reports	Yes	Yes	Yes
Run audits	No	Yes	Yes
Send metrics	No	Yes	Yes
Manage webhooks	No	No	Yes
Invite members	No	No	Yes
Billing access	No	No	Yes