Learn how to design scalable software systems, build AI-powered platforms, and architect modern cloud applications.
A practical guide to deciding when your system is ready for microservices. We cover migration strategies, common pitfalls, and how to avoid over-engineering.
Architecture patterns for video interview systems with real-time transcription, ML scoring, and candidate analytics. Lessons from production deployments.
Compare message brokers for event-driven systems. Throughput, ordering guarantees, and when to choose each for your use case.
Reliability, observability, and cost optimization for Kubernetes workloads. Real-world patterns from running SaaS platforms.
Learn how to design and build scalable microservices using .NET 8, Docker, gRPC, and event-driven architecture. Includes best practices and patterns.
How to design your first version for speed without painting yourself into a corner. Pragmatic architecture for early-stage products.
Learn how to design scalable SaaS platforms using multi-tenant architecture, event-driven systems, and cloud-native technologies. Includes retry & DLQ patterns.
Separating read and write models for high-scale systems. When CQRS pays off and when it's overkill.
Learn how to build reliable LLM-powered applications using fallback strategies, caching, rate limiting, and cost optimization patterns.
Kong, Azure API Management, or custom? Routing, aggregation, and auth strategies for API gateways.
Learn how to design CI/CD pipelines using Azure DevOps with build, test, and deployment automation, environments, approvals, and best practices.
Learn how to migrate from monolith to microservices with zero downtime using strangler pattern, event-driven architecture, and phased rollout strategy.
Identifying and modeling bounded contexts. Ubiquitous language and context mapping for complex domains.
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