This session presents a real-world case study of a large-scale enterprise application built on Drupal as a headless API, designed to handle a high volume of data—both fresh and migrated from Drupal 7.

We’ll dive into key challenges and solutions, including:

Optimizing API performance for high-traffic applications
Handling massive data migrations from legacy Drupal 7 systems
Scalability strategies for enterprise applications
Best practices in caching, and decoupled API design
Lessons learned from real-world implementation

Prerequisite
1. Basic understanding of Drupal 8/9/10 and its API-first capabilities
2. Familiarity with headless/decoupled Drupal concepts (esp. JSON:API )
3. Knowledge of API performance optimization (caching, indexing, rate limiting)

Outline
1. Introduction (5 min)
2. Defining the Problem & Challenges (5 min)
3. Solution Architecture & Technology Stack (15 min)
4. Lessons Learned & Best Practices (10 min)
5. Key Takeaways & Q&A (5)

Learning Objectives
1. Understand the architecture of a high-performance, enterprise-scale headless Drupal 10 API
2. Optimize Drupal for high-traffic API performance and scalability
3. Improve API security and reliability for enterprise applications
4. Apply lessons learned from real-world implementation

Experience level
Intermediate