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Implement a user profile service for the Python SDK

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Optimizely Feature Experimentation

Introduction
Release notes
Optimizely Feature Experimentation - application and migration
Quickstarts
Core concepts
Feature Experimentation FAQs

Create flags

Create feature flags
Create flag variables
- Flag variable example with an image carousel
Create flag variations
Handle user IDs
Target audiences
- Define attributes
- Create advanced audience combinations
Track user events
- Create events
- Filter out bots

Run flag rules

Run A/B tests
Run flag deliveries (targeted delivery)
- Run a beta
Run a multi-armed bandit optimization
Analyze results
QA and troubleshoot
Use mutual exclusion
Run Contextual Multi-Armed Bandit optimizations

Configure

Manage config (datafile)
Manage flags
Manage rules
Scheduled changes
Notification listeners
Collaborators
Granular roles and permissions
Manage projects
Manage environments
Flag dependency
Change approvals

Best Practice

Implementation checklist
Event tracking
IDE plug-ins
- Visual Studio Code extension
- IntelliJ plugin
Microservices
Multiple SDK implementations
Mutually exclusive experiments
Two- and three-stage testing
Fetch datafiles
Self-service global holdout
Native global holdouts

Integrate Optimizely Products

Integrate real-time audiences for Feature Experimentation
- Implement Real-Time Audiences for Feature Experimentation for client-side SDKs
- Implement Real-Time Audiences for Feature Experimentation for server-side SDKs
Configure the Optimizely CMS (SaaS) integration

Integrate other platforms

Configure analytics platforms
Configure Amplitude
Configure Contentful
Configure Datadog
Configure Google Analytics 4 (GA4)
- Create segments for Google Analytics 4 (GA4)
Configure Localytics
Configure Mixpanel
Configure mParticle
Configure Segment
Configure Tealium
Next.js starter kit
Solid.js starter kit
Vue.js starter kit

Optimizely Feature Experimentation at the edge

Content Delivery Networks and Optimizely Feature Experimentation
Get started experimenting at the edge
Akamai EdgeWorkers
AWS Lambda@Edge
Cloudflare Workers
Fastly Compute@Edge
Vercel Functions
Feature Experimentation edge workers and agents

Deploy as a Microservice

Optimizely Agent
Quickstart for Agent
Install Optimizely Agent
Use Optimizely Agent
Configure Optimizely Agent
Agent API Reference
Agent Github Repository

Optimizely Edge Agent

Introduction
Deployment guide for Cloudflare Workers
- Cloudflare Workers KV store configuration (optional)

REST API

Feature Experimentation API Reference

SDK Reference Guides

Index
SDK compatibility matrix
Android SDK
C# SDK
Flutter SDK
Go SDK
Java SDK
JavaScript SDK v6+
JavaScript (Browser) SDK prior to v6
JavaScript (Node) SDK prior to v6
PHP SDK
Python SDK
React SDK
React Native SDK
Ruby SDK
Swift SDK

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Implement a user profile service for the Python SDK

How to create a custom user profile service for the Optimizely Feature Experimentation Python SDK.

Updated 19 days ago

OptimizelyDecision for the Python SDK

Configure the Python SDK event dispatcher

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