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Overview
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Explore the comprehensive architecture and implementation strategies for building real-time graph analytics platforms in this 35-minute conference talk from Conf42 Platform Engineering 2025. Discover why graph databases are becoming essential for modern applications and understand the key challenges involved in their construction. Learn about the limitations of traditional databases when handling complex relationships and examine core architectural patterns that enable effective graph data management. Master horizontal scaling strategies to handle growing datasets and optimize storage and query performance for real-time analytics. Understand integration patterns for connecting graph databases with existing systems, implement monitoring and observability practices, and develop robust backup and recovery procedures. Gain insights into capacity planning methodologies, evaluate architectural trade-offs in graph database design, and explore future directions in graph database technology to make informed decisions for your platform engineering initiatives.
Syllabus
00:00 Introduction and Speaker Background
00:30 Why Adopt Graph Databases?
01:48 Challenges in Building Graph Databases
03:55 Limitations of Traditional Databases
06:57 Core Architectural Patterns
10:30 Horizontal Scaling Strategies
14:39 Storage and Query Optimization
20:34 Integration Patterns
23:29 Monitoring and Observability
25:31 Backup and Recovery
27:29 Capacity Planning
29:53 Architectural Trade-offs
32:19 Future Directions for Graph Databases
33:54 Conclusion and Final Thoughts
Taught by
Conf42