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MLOpsdevops~10 mins

Blue-green deployment for models in MLOps - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to define the active deployment environment in blue-green deployment.

MLOps
active_env = '[1]'
Drag options to blanks, or click blank then click option'
Ared
Bgreen
Cyellow
Dblue
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing an environment color not used in blue-green deployment like 'red' or 'yellow'.
2fill in blank
medium

Complete the code to switch traffic to the new model environment.

MLOps
traffic_router.route_to('[1]')
Drag options to blanks, or click blank then click option'
Agreen
Bblue
Ctest
Ddev
Attempts:
3 left
💡 Hint
Common Mistakes
Routing traffic to 'test' or 'dev' which are not part of blue-green deployment.
3fill in blank
hard

Fix the error in the code that updates the model version in the inactive environment.

MLOps
deploy_model(version='v2', environment='[1]')
Drag options to blanks, or click blank then click option'
Agreen
Bblue
Cproduction
Dstaging
Attempts:
3 left
💡 Hint
Common Mistakes
Deploying to the active environment causing downtime or conflicts.
4fill in blank
hard

Fill both blanks to create a dictionary mapping environments to model versions.

MLOps
model_versions = {'blue': '[1]', 'green': '[2]'}
Drag options to blanks, or click blank then click option'
Av1
Bv2
Cv3
Dv0
Attempts:
3 left
💡 Hint
Common Mistakes
Assigning the same version to both environments.
5fill in blank
hard

Fill all three blanks to complete the function that switches active environment and updates traffic routing.

MLOps
def switch_environment(current_env):
    new_env = '[1]' if current_env == '[2]' else '[3]'
    traffic_router.route_to(new_env)
    return new_env
Drag options to blanks, or click blank then click option'
Agreen
Bblue
Cred
Dyellow
Attempts:
3 left
💡 Hint
Common Mistakes
Using colors not part of blue-green deployment like 'red' or 'yellow'.

Practice

(1/5)
1. What is the main purpose of blue-green deployment in model updates?
easy
A. To run two models at the same time and combine their outputs
B. To switch traffic to a new model only after it is fully tested and ready
C. To update the model directly in the production environment without backup
D. To deploy models only during off-peak hours

Solution

  1. Step 1: Understand blue-green deployment concept

    Blue-green deployment uses two separate environments to avoid downtime and risk during updates.
  2. Step 2: Identify the key purpose

    The main goal is to switch traffic to the new model only after it is fully tested and ready, ensuring safety.
  3. Final Answer:

    To switch traffic to a new model only after it is fully tested and ready -> Option B
  4. Quick Check:

    Safe model update = A [OK]
Hint: Blue-green means switch only after testing new model [OK]
Common Mistakes:
  • Thinking both models run and combine outputs
  • Updating production without backup
  • Deploying only during off-peak hours
2. Which command correctly switches traffic from the blue environment to the green environment in a Kubernetes service?
easy
A. kubectl set image deployment/model-deploy model=green-model:latest
B. kubectl delete deployment model-deploy-blue
C. kubectl rollout restart deployment/model-deploy-green
D. kubectl patch service model-service -p '{"spec":{"selector":{"env":"green"}}}'

Solution

  1. Step 1: Understand traffic switching in Kubernetes

    Traffic is routed by the service selector labels pointing to the correct deployment environment.
  2. Step 2: Identify the command that changes service selector to green

    The patch command updates the service selector to point to pods labeled with "env=green".
  3. Final Answer:

    kubectl patch service model-service -p '{"spec":{"selector":{"env":"green"}}}' -> Option D
  4. Quick Check:

    Change service selector = B [OK]
Hint: Patch service selector to green environment label [OK]
Common Mistakes:
  • Restarting deployment does not switch traffic
  • Setting image changes deployment but not traffic
  • Deleting blue deployment before switch causes downtime
3. Given this simplified deployment script snippet, what will be the output after running it?
current_env = "blue"
new_env = "green"
if current_env == "blue":
    print(f"Switching traffic to {new_env} environment")
else:
    print(f"Switching traffic to {current_env} environment")
medium
A. Switching traffic to green environment
B. Switching traffic to undefined environment
C. Switching traffic to blue environment
D. No output

Solution

  1. Step 1: Analyze the condition in the script

    The variable current_env is "blue", so the if condition is true.
  2. Step 2: Determine the printed output

    Since current_env is "blue", it prints "Switching traffic to green environment" using new_env.
  3. Final Answer:

    Switching traffic to green environment -> Option A
  4. Quick Check:

    current_env == "blue" triggers green switch = C [OK]
Hint: Check if current_env is blue, then print green [OK]
Common Mistakes:
  • Confusing current_env and new_env variables
  • Assuming else branch runs when condition is true
  • Ignoring f-string formatting
4. You tried to switch traffic to the green model environment but users still hit the blue model. What is the most likely error?
medium
A. The service selector was not updated to point to the green environment
B. The green model deployment was deleted accidentally
C. The blue environment pods crashed and restarted
D. The model version in green environment is outdated

Solution

  1. Step 1: Understand traffic routing in blue-green deployment

    Traffic is controlled by the service selector labels pointing to the active environment.
  2. Step 2: Identify why traffic still hits blue

    If users still hit blue, the service selector likely was not updated to green, so traffic stays on blue.
  3. Final Answer:

    The service selector was not updated to point to the green environment -> Option A
  4. Quick Check:

    Traffic routing depends on service selector = D [OK]
Hint: Check if service selector changed to green environment [OK]
Common Mistakes:
  • Assuming green deployment deletion causes traffic to blue
  • Confusing pod crashes with traffic routing
  • Thinking model version affects routing directly
5. You want to implement blue-green deployment for a machine learning model with minimal downtime. Which sequence of steps is correct?
hard
A. Deploy new model to green, switch traffic immediately, then test and monitor
B. Delete blue environment, deploy new model to green, switch traffic, monitor performance
C. Deploy new model to green environment, test it, switch service selector to green, monitor, then delete blue
D. Deploy new model to blue environment, test it, switch service selector to blue, monitor, then delete green

Solution

  1. Step 1: Deploy and test new model in green environment

    Deploying and testing in green ensures the new model works without affecting users.
  2. Step 2: Switch traffic to green, monitor, then clean up blue

    Switching traffic only after testing reduces risk. Monitoring ensures stability before deleting blue.
  3. Final Answer:

    Deploy new model to green environment, test it, switch service selector to green, monitor, then delete blue -> Option C
  4. Quick Check:

    Test before switch, monitor after = A [OK]
Hint: Test green first, then switch traffic, then delete blue [OK]
Common Mistakes:
  • Deleting blue before green is ready
  • Switching traffic before testing
  • Deploying new model to blue environment instead of green