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SIRAYA designs database and caching architectures based on real workload behavior, ensuring predictable performance, consistency, and cost even during traffic spikes or regional expansion. We focus on building data infrastructure that supports long-term business growth rather than short-term scaling adjustments.
Traffic pattern profiling, read-write behavior mapping, and bottleneck identification before selecting architecture models.
Design and integration of distributed SQL and NoSQL environments based on consistency requirements, transaction models, and regional latency considerations.
Multi-layer caching aligned with transaction logic, reducing core database pressure while maintaining data integrity.
Monitoring, performance tuning, scaling strategy refinement, and direct coordination with database technology partners when needed.
Distributed HTAP architecture
Global document database
High-performance in-memory cache
Financial-grade distributed SQL
Enterprise-grade relational database platform
We design database systems to handle peak traffic through horizontal distribution, read-write separation, and cache coordination instead of relying solely on vertical scaling.
This reduces cost volatility and prevents performance bottlenecks during traffic spikes.
Caching strategies are designed around transaction logic and workload patterns, ensuring consistency while reducing primary database pressure.
This helps maintain response stability without compromising data integrity.
Architecture-first, not vendor-first
Database, Cache, and Cloud delivered as one system
Multi-cloud strategy with single point of responsibility
Atomic inventory deduction and traffic burst management.
