Beyond the Database: Evolving Data Architectures for Real-Time Systems
Watch NowAs demand for instant access, personalization, and rapid responsiveness rises, traditional databases fall short. This webinar explores how teams are adopting modern architectures for real-time systems—leveraging distributed data layers, caching, and new consistency models.
Explore the move from monolithic to distributed architectures built for low-latency, high-throughput workloads.
Learn how event-driven design, streaming, and in-memory processing enhance speed and reliability—plus tips for reducing bottlenecks, balancing consistency and availability with CQRS and event sourcing, and evolving systems without major rewrites.
Whether you’re an enterprise architect, backend engineer, or system designer, you’ll gain insights into building data architectures that go beyond traditional database limits.
Key Takeaways:
- Real-time architecture patterns for low latency and high throughput
- Strategies for decoupling and eventual consistency
- The role of distributed layers, caching, and in-memory tech
- Incremental modernization of legacy systems
- Insights and anti-patterns from real-world systems
