
Building a backend project, preparing for interviews, or trying to make your system more production-ready?
In this session, I’ll review your backend architecture and help you identify gaps, trade-offs, and opportunities to improve the overall design.
We can review:
✅ API design & service boundaries
✅ Monolith vs Microservices decisions
✅ Database design & data modeling
✅ Caching strategies & Redis
✅ Messaging & asynchronous processing
✅ Scalability & performance bottlenecks
✅ Reliability, fault tolerance & resilience
✅ Distributed system trade-offs
✅ Docker & Kubernetes architecture
✅ AWS / Cloud deployment approach
✅ CI/CD & deployment strategy
✅ Logging, monitoring & observability
✅ Security & production-readiness
✅ HLD / architecture diagrams
✅ Project positioning for resumes and interviews
This session is ideal if you are:
• Building a backend or system design project
• Preparing a project for your resume or GitHub
• Preparing for HLD/System Design interviews
• Moving from basic CRUD applications to scalable architectures
• Looking for feedback on a real-world backend design
• Trying to understand how production systems are actually designed
You’ll leave with clear architecture feedback, improvement areas, and actionable next steps to make your project more scalable, reliable, and interview-ready.