Service Oriented Architecture For Large Applications

This workshop explores Service Oriented Architecture (SOA) principles for large applications. We focus on how this architecture can address performance bottlenecks (processing, I/O, latency) by designing decoupled, independently scalable services. Participants will explore service decomposition, async communication, data access strategies like replication for data sharing, and operational best practices for high-throughput, low-latency systems.

Details:

• Understanding how service separation enables independent scaling, resource optimization, and fault isolation.

• Aligning service design with specific performance targets (e.g., throughput, latency).

• Discussing strategies for identifying performance critical modules or potential bottlenecks within a larger application.

• Using asynchronous mechanisms like message queues (e.g., Kafka) for non-blocking operations and improved responsiveness.

• Using data access patterns (e.g., caches, async replication) for faster data access, reducing latency.

• Managing data consistency trade-offs in eventually consistent designs.

• Using API Gateways (e.g., APISIX) with auth (e.g., Keycloak) for managed, secure service entry points.

• Exploring deployment strategies that support independent scaling of services based on load.

• Exploring observability (metrics, tracing, logs) for diagnosing performance issues in a distributed environment.

By the end of this workshop, attendees will be able to:

• Understand practical Service Oriented Architecture principles specifically aimed at addressing performance bottlenecks in large applications.

• Evaluate different communication patterns and data access strategies to reduce latency and improve throughput.

• Implementation of supporting infrastructure like API Gateways, auth server, observability, and deployment strategies in building and managing SOA.

• Evaluation of the trade offs between the performance benefits of these service patterns and the associated increase in architectural complexity.