Feature flags in Microservices - Architecture Diagram

System Overview - Feature flags

This system manages feature flags to enable or disable features dynamically in a microservices environment. It allows safe rollout, testing, and rollback of features without redeploying services.

Key requirements include low latency flag checks, centralized control, and consistency across services.

Architecture Diagram

User
  |
  v
Load Balancer
  |
  v
API Gateway
  |
  +-------------------+
  |                   |
  v                   v
Feature Flag Service  Microservices
  |                   |
  v                   |
Cache (Redis)          |
  |                   |
  v                   v
Database (Feature Flags Store)

Components

User

client

End user making requests to the system

Load Balancer

load_balancer

Distributes incoming requests evenly to API Gateway instances

API Gateway

api_gateway

Routes requests to microservices and feature flag service

Feature Flag Service

service

Manages feature flag states and evaluates flags for microservices

Microservices

service

Application services that check feature flags to enable/disable features

Cache (Redis)

cache

Stores feature flag states for fast access to reduce database load

Database (Feature Flags Store)

database

Persistent storage of feature flag configurations and rules

Request Flow - 10 Hops

User → Load Balancer

Load Balancer → API Gateway

API Gateway → Microservices

Microservices → Feature Flag Service

Feature Flag Service → Cache (Redis)

Cache (Redis) → Feature Flag Service

Feature Flag Service → Microservices

Microservices → API Gateway

API Gateway → Load Balancer

Load Balancer → User

Failure Scenario

Component Fails:Cache (Redis)

Impact:Feature Flag Service cannot retrieve cached flag states, causing increased latency and load on the database.

Mitigation:Feature Flag Service falls back to querying the database directly. Cache is rebuilt asynchronously. Database replication ensures availability.

Architecture Quiz - 3 Questions

Which component is responsible for deciding if a feature is enabled for a user?

A Feature Flag Service

B Load Balancer

C API Gateway

D Cache (Redis)

Design Principle

This architecture uses a centralized Feature Flag Service with caching to provide fast, consistent feature flag evaluations across microservices. The cache reduces database load and latency, while the load balancer and API Gateway ensure scalable and secure request routing.

Practice

1. What is the main purpose of using feature flags in microservices?

easy

A. To increase database storage capacity

B. To enable or disable features without deploying new code

C. To improve network bandwidth

D. To encrypt communication between services

Solution

1. Step 1: Understand feature flags concept

   Feature flags allow toggling features on or off dynamically without changing the codebase.

2. Step 2: Identify the main benefit in microservices

   This helps in testing, gradual rollout, and quick disabling of features without redeployment.

3. Final Answer:

   To enable or disable features without deploying new code -> Option B

4. Quick Check:

   Feature flags = toggle features dynamically [OK]

Hint: Feature flags toggle features without code changes [OK]

Common Mistakes:

• Confusing feature flags with database scaling
• Thinking feature flags improve network speed
• Assuming feature flags handle encryption

2. Which of the following is the correct way to check a feature flag named new_ui_enabled in a microservice?

easy

A. featureFlags.enable('new_ui_enabled')

B. if (featureFlags.check('new_ui_enabled') == false) { /* use new UI */ }

C. if (featureFlags.isEnabled('new_ui_enabled')) { /* use new UI */ }

D. featureFlags.remove('new_ui_enabled')

Solution

1. Step 1: Identify correct method to check flag status

   Checking if a feature flag is enabled usually uses a method like isEnabled returning true or false.

2. Step 2: Analyze options

   if (featureFlags.isEnabled('new_ui_enabled')) { /* use new UI */ } correctly checks if the flag is enabled before using the feature. if (featureFlags.check('new_ui_enabled') == false) { /* use new UI */ } incorrectly uses check and false condition. featureFlags.enable('new_ui_enabled') and featureFlags.remove('new_ui_enabled') modify flags, not check them.

3. Final Answer:

   if (featureFlags.isEnabled('new_ui_enabled')) { /* use new UI */ } -> Option C

4. Quick Check:

   Check flag with isEnabled() = if (featureFlags.isEnabled('new_ui_enabled')) { /* use new UI */ } [OK]

Hint: Use isEnabled() to check feature flags status [OK]

Common Mistakes:

• Using enable() or remove() to check flags
• Checking flag with wrong method or negation
• Confusing flag check with flag update

3. Consider this pseudocode snippet in a microservice:

if (featureFlags.isEnabled('beta_feature')) {
  return 'Beta feature active';
} else {
  return 'Beta feature inactive';
}

What will be the output if the flag beta_feature is set to false?

medium

A. Beta feature inactive

B. Beta feature active

C. Error: flag not found

D. No output

Solution

1. Step 1: Understand flag value effect on condition

   The condition checks if beta_feature is enabled (true). If false, it goes to else branch.

2. Step 2: Determine output when flag is false

   Since the flag is false, the else block executes returning 'Beta feature inactive'.

3. Final Answer:

   Beta feature inactive -> Option A

4. Quick Check:

   Flag false triggers else = Beta feature inactive [OK]

Hint: False flag runs else block output [OK]

Common Mistakes:

• Assuming false flag runs if block
• Expecting error when flag is false
• Ignoring else branch output

4. A developer wrote this code to disable a feature using a feature flag:

if (featureFlags.isEnabled('dark_mode')) {
  disableDarkMode();
}

Why might this code not work as intended?

medium

A. It disables dark mode when the flag is enabled, which is opposite logic

B. The method disableDarkMode() does not exist

C. Feature flags cannot control UI features

D. The flag name should be 'enable_dark_mode'

Solution

1. Step 1: Analyze the condition logic

   The code disables dark mode if the flag is enabled, which is opposite of expected behavior (usually enabled flag means enable feature).

2. Step 2: Identify correct logic for disabling feature

   To disable dark mode when flag is false, the condition should check if flag is disabled or negate the check.

3. Final Answer:

   It disables dark mode when the flag is enabled, which is opposite logic -> Option A

4. Quick Check:

   Enabled flag should enable, not disable [OK]

Hint: Enabled flag usually means feature ON, not OFF [OK]

Common Mistakes:

• Confusing enable and disable logic
• Assuming flag controls only backend features
• Using wrong flag names without checking

5. You want to roll out a new payment feature gradually using feature flags in a microservices system. Which design approach is best to ensure minimal impact and easy rollback?

hard

A. Disable all other microservices during rollout to avoid conflicts

B. Deploy new code with feature always enabled and monitor logs manually

C. Hardcode feature flag values in each microservice and update code to change flags

D. Use a centralized feature flag service with percentage rollout and fallback to old payment service

Solution

1. Step 1: Understand gradual rollout with feature flags

   Gradual rollout means enabling feature for a small percentage of users first, then increasing over time.

2. Step 2: Identify scalable and safe design

   A centralized flag service allows dynamic control and percentage rollout. Fallback ensures quick rollback if issues arise.

3. Step 3: Evaluate other options

   Deploy new code with feature always enabled and monitor logs manually lacks control and rollback ease. Hardcode feature flag values in each microservice and update code to change flags requires code changes for flag updates, not scalable. Disable all other microservices during rollout to avoid conflicts is disruptive and unnecessary.

4. Final Answer:

   Use a centralized feature flag service with percentage rollout and fallback to old payment service -> Option D

5. Quick Check:

   Centralized flags + gradual rollout = Use a centralized feature flag service with percentage rollout and fallback to old payment service [OK]

Hint: Centralized flags + gradual rollout = safe deployment [OK]

Common Mistakes:

• Hardcoding flags causing frequent deployments
• Disabling services unnecessarily during rollout
• Ignoring rollback strategies