Progressive delivery concept in Kubernetes - Step-by-Step Execution

Process Flow - Progressive delivery concept

Start Deployment

↓

Deploy to Small User Group

↓

Monitor Metrics & Feedback

↓

If Issues Detected

Yes→Rollback or Fix

↓

End

No↓

Increase User Group Size

↓

Repeat Monitoring & Scaling

↓

Full Deployment to All Users

↓

End

The flow shows deploying to a small group first, monitoring, then gradually increasing users if no issues, else rollback.

Execution Sample

Kubernetes

kubectl apply -f canary-deployment.yaml
# Monitor metrics
# Increase traffic to canary
kubectl rollout status deployment/myapp
# Full rollout if stable

This sequence deploys a canary version, monitors it, then rolls out fully if stable.

Process Table

Step	Action	Deployment State	User Group Size	Monitoring Result	Next Step
1	Apply canary deployment	Canary version deployed	5% users	Pending	Monitor metrics
2	Monitor metrics	Canary running	5% users	No issues	Increase user group
3	Increase user group	Canary running	25% users	Pending	Monitor metrics
4	Monitor metrics	Canary running	25% users	No issues	Increase user group
5	Increase user group	Canary running	50% users	Pending	Monitor metrics
6	Monitor metrics	Canary running	50% users	Issues detected	Rollback canary
7	Rollback canary	Stable version restored	100% users	N/A	End deployment

💡 Rollback triggered at 50% user group due to detected issues, deployment ends with stable version.

Status Tracker

Variable	Start	After Step 1	After Step 3	After Step 5	After Step 7
Deployment State	Stable version	Canary deployed	Canary running	Canary running	Stable version restored
User Group Size	0%	5%	25%	50%	100%
Monitoring Result	N/A	Pending	Pending	Pending	N/A

Key Moments - 3 Insights

Why do we deploy to only a small user group first instead of all users?

Deploying to a small group limits risk. If issues appear (see Step 6 in execution_table), we can rollback without affecting everyone.

What happens if monitoring detects issues during progressive delivery?

The deployment is rolled back to the stable version immediately (Step 6 and 7), preventing bad code from reaching more users.

Why do we increase user group size gradually?

Gradual increase allows careful observation of system behavior and user impact before full rollout, reducing risk of widespread failure.

Visual Quiz - 3 Questions

Look at the execution table, what is the user group size when issues are detected?

A 5%

B 25%

C 50%

D 100%

💡 Hint

Check the 'User Group Size' and 'Monitoring Result' columns at Step 6 in the execution_table.

At which step does the deployment rollback happen?

A Step 7

B Step 6

C Step 4

D Step 5

💡 Hint

Look for the 'Rollback canary' action in the 'Action' column of the execution_table.

If no issues were detected at 50% user group, what would be the next step?

A Rollback canary

B Increase user group to 100%

C Monitor metrics again

D End deployment immediately

💡 Hint

Refer to the flow in the execution_table rows 4 and 5 where no issues lead to increasing user group size.

Concept Snapshot

Progressive delivery means releasing new software gradually.
Start with a small user group (canary).
Monitor system and user feedback carefully.
If stable, increase user group size step-by-step.
If issues appear, rollback immediately.
This reduces risk and improves reliability.

Full Transcript

Progressive delivery is a method to release software updates gradually. First, a new version is deployed to a small portion of users, called a canary deployment. Then, monitoring tools check for errors or bad feedback. If no problems are found, the deployment expands to more users in steps. If issues are detected at any point, the deployment is rolled back to the stable version to protect users. This approach helps catch problems early and reduces the chance of widespread failures.