API Gateway Evolution and Engineering Practices; Applying ClickHouse for Massive Data Processing
The talk traces the evolution of API Gateway architectures and the engineering practices—design patterns, deployment strategies, and operational considerations—required for scalable, reliable services, then demonstrates how ClickHouse can be leveraged for massive data workloads, highlighting practical scenarios, performance optimizations, and key lessons learned.
This material presents a technical talk on the evolution of API Gateway architectures and the engineering practices that support them. The slides include visual diagrams and screenshots illustrating design patterns, deployment strategies, and operational considerations for building scalable, reliable API services.
The second part focuses on using ClickHouse to handle massive data workloads. It showcases practical scenarios, performance optimizations, and lessons learned when applying ClickHouse for large‑scale data processing and analytics.
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