Low-Maintenance Backend Architectures for Scalable Applications
summary
Argues for an event-driven architecture with consumer lag metering and rate limiting so bursts are absorbed by adding consumers instead of blocking requests, describes concrete load balancing strategies (least connections and weighted routing) and using autoscaling groups to spin up instances on spikes, recommends stateless services with JWT and memcash for session handling, compares databases like MDB and Kraxl for consistency and query patterns, and cites KStack Cloud Health and Open telemetry plus Edge alerting for logs metrics tracing and real‑time alerts.
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chapters (12)
- 0:00Introduction to Building Scalable Systems
- 0:21Evolution of Backend Architectures
- 0:45The Importance of Modularity
- 1:31Event-Driven Architectures
- 3:20Handling High Load Scenarios
- 4:15Scalability and Stateless Applications
- 5:59Load Balancing and Auto Scaling
- 8:16Observability and System Reliability
- 9:06Avoiding Common Pitfalls
- 9:53Choosing the Right Database
- 10:39Building Adaptable Systems
- 11:48Conclusion and Final Thoughts
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