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T2 / M2.15 / L3 OF 4 / Engineer TIER / 9 min

The risk score

Outcome

By the end of this lesson, you will be able to decompose a risk score into its three components, explain why an all-safe result scores zero, and judge when a low score is genuinely reassuring and when it is not.


TierEngineer
JTBD”Turn a canvas full of colours into one number I can put in a change request.”
PersonasPlatform Engineer · SRE · Engineering Leader
PrerequisitesM2.15.L2
Time9 minutes
Bloom verbDecompose (Analyze), Explain (Understand), Judge (Evaluate)

1. Concept

The risk score is a 0 to 100 number computed from three components. It is deliberately simple and deliberately transparent: you should be able to reconstruct it by hand from the side panel.

Terminal window
COMPONENT MAX POINTS
──────────────────────────────────────────────────────
1. IMPACT SEVERITY RATIO 60
affected counts FULL
warning counts HALF
as a ratio of the neighbour set
2. ENVIRONMENT 15
prod 15
staging 8
dev 3
ZEROED when nothing is impacted
3. OWNERSHIP SPREAD 20
teams + schedules touching the affected
set
──────────────────────────────────────────────────────
up to ~95

Component 1: severity ratio

The dominant term, and it is a ratio rather than a count.

Terminal window
2 affected out of 2 neighbours -> the full 60
2 affected out of 40 neighbours -> a small fraction
A warning counts half an affected. So four warnings
contribute what two affected nodes would.

The ratio choice is what stops a large well-connected resource from always scoring high. A load balancer with 40 healthy targets, one of which is briefly disrupted, is genuinely low risk, and a count-based score would call it high.

Component 2: environment, and the zeroing rule

Terminal window
prod 15
staging 8
dev 3
BUT: zeroed when nothing is impacted.

That rule is the one worth understanding. Without it, every action on every production resource would carry a floor of 15 points, including provably safe ones, and the score would stop distinguishing them.

Terminal window
Deleting an unattached volume in prod
severity ratio 0 (nothing impacted)
environment 0 (zeroed, because nothing impacted)
ownership 0
─────────────────────
RISK 0

Zero means something. It means safe was proven, not merely assumed, and the score is willing to say so even in production.

Component 3: ownership spread

Terminal window
Teams and schedules touching the affected set, up to 20.

This is the component that encodes a truth the other two miss: a technically minor change that reaches six teams is operationally expensive, because it needs six conversations. One that reaches one team is not.

It is also the component most likely to surprise you, because ownership is a fact about your organisation rather than your architecture, and the two drift apart.

Reading a score

Terminal window
0 Safe was proven. Nothing impacted.
1-20 Contained. Usually a single warning, one
owner.
21-50 Real but bounded. Read the affected list
individually.
51+ Either a high severity ratio or a wide
ownership spread. Find out which before
deciding.

The 51+ band matters because the two causes need opposite responses. A high severity ratio is a technical problem: the action genuinely breaks things. A wide ownership spread is a coordination problem: the action is fine and involves a lot of people. Treating one as the other wastes time or causes an incident.

When a low score is not reassuring

Three cases, and they are all limits of the model rather than bugs:

Terminal window
1. NO REDUNDANCY AWARENESS
The score does not know how many other targets an ALB
has. Disrupting the only target and one of forty look
identical to it.
2. ONE HOP ONLY
A low score means the direct neighbours are fine. It
says nothing about two hops out.
3. INFERRED, NOT OBSERVED
Edges come from resource metadata, not from network
flow logs. A dependency that exists in the application
and not in the metadata is invisible.

So the correct reading of a low score is: “nothing directly connected will break, as far as the metadata shows”. That is genuinely useful and it is not the same as “this is safe”.

Where the score is computed

The score is computed client-side from the classification the server returns. That is why it is reconstructable by hand: the inputs are all in the side panel, and no hidden weighting is applied on the way.


2. Demo

Three results, decomposed:

Terminal window
RESULT A: delete an unattached EBS volume, prod
neighbours 1, all green
severity 0/60 nothing impacted
environment 0/15 ZEROED (nothing impacted)
ownership 0/20
────────────────────
RISK 0
READ: safe was proven. Apply.
─────────────────────────────────────────────────────────
RESULT B: resize an EC2 instance behind an ALB, prod
neighbours 4
vol-web-01 green
rds-orders green
alb-prod AMBER
asg-web AMBER
severity 2 warnings = 1 affected-equivalent
out of 4 -> 15/60
environment 15/15 prod, and something IS impacted
ownership 1 team, 1 schedule -> 5/20
────────────────────
RISK 35
READ: real but bounded. The two ambers are a brief LB
target removal and an ASG that may replace the
instance. One team. Schedule a window, tell that team,
proceed.
─────────────────────────────────────────────────────────
RESULT C: edit a shared schedule's stop cron
neighbours 186, all amber (modify on mixed types)
severity 186 warnings, ratio 0.5 -> 30/60
environment 15/15 prod resources in the set
ownership 6 teams, 4 schedules -> 20/20 (capped)
────────────────────
RISK 65
READ: 51+, so ask which cause. Here the severity term
is 30 of a possible 60, and ownership is MAXED at 20.
This is a COORDINATION problem, not a technical one.
No single resource is badly affected; 186 of them are
mildly affected across six teams.
The response is therefore not "find a maintenance
window". It is "do not edit a shared schedule; give
your service its own".
─────────────────────────────────────────────────────────
THE COMPARISON THAT TEACHES THE MOST
B scored 35 and needed a maintenance window.
C scored 65 and needed a different plan entirely.
Reading only the number would have sent C to a
maintenance window, where it would have gone fine and
halved six teams' savings.

3. Hands-on (6 min)

Terminal window
1. Run any blast radius and reconstruct the score by hand
from the side panel:
affected ____ warning ____ total neighbours ____
severity term: ____/60
environment: ____/15
ownership spread: ____/20
your total: ______ reported: ______
2. Find a result scoring 0 in a PRODUCTION environment.
Why is the environment term not 15?
______________________________________________
3. Find a result above 50. Which term dominates?
[ ] severity ratio [ ] ownership spread
What does that imply about the right response?
______________________________________________
4. Take a low-scoring result on a load-balanced service.
Does the score know how many OTHER healthy targets
that LB has? Y / N
What would you check manually?
______________________________________________
5. Write the sentence you would put in a change request,
using the score and its decomposition:
______________________________________________

4. Knowledge check

Q1

Deleting an unattached volume in a production environment scores 0 risk. Why does the production environment not contribute its 15 points?

A. The environment term applies only to compute resources
B. Unattached volumes are not classified as production
C. Environment points are only added above a severity threshold
D. The environment term is zeroed when nothing is impacted

Show answer

Correct: D. Without that rule every action on every production resource would carry a floor of 15, including provably safe ones, and the score would stop distinguishing them. Zero is meaningful precisely because it is achievable in production: it means safe was proven through the behaviour map or edge matrix rather than merely assumed.

Q2

Two results both score 65. In one the severity term dominates; in the other the ownership spread is maxed at 20. The responses should be:

A. Opposite
B. The same, since the risk is equal
C. Both require executive approval
D. Both should be deferred until the score drops

Show answer

Correct: A. A high severity ratio is a technical problem, so the action genuinely breaks things and needs a maintenance window or a different approach. A wide ownership spread is a coordination problem: the action is fine and involves a lot of people, so it needs conversations or a redesign that narrows the reach. This is why the 51+ band prompts “find out which” rather than a fixed action. Sending a coordination problem to a maintenance window means it proceeds smoothly and still damages six teams’ savings.

Q3

A low risk score should be read as:

A. The action is safe
B. The action has been approved
C. All of the neighbours happen to sit in non-production environments
D. Nothing directly connected will break, as far as the metadata shows

Show answer

Correct: D. The score has no redundancy awareness (it cannot tell the only ALB target from one of forty), traverses one hop only, and works from inferred metadata edges rather than observed network traffic. All three limits are properties of the model rather than defects. Stating the reading precisely is what keeps the tool useful: it is genuinely informative and it is not a safety guarantee.


5. Apply

Put the decomposition, not just the number, into your change requests. “Risk 35: two warnings out of four neighbours, production, one team affected” is a sentence a reviewer can act on; “risk 35” is not.

When a score exceeds 50, always identify which term dominates before deciding what to do about it.


Glossary terms touched

Risk score · Severity ratio · Ownership spread · Redundancy awareness


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