Overview
Serverless is oversold as the default for every workload and under-delivered when teams misapply it. High-traffic steady workloads run serverless at 3-10× the cost of containers. Long-running functions hit timeouts. Synchronous chains amplify latency with every hop. Cold starts kill p99 on user-facing paths. Teams end up with a "serverless" architecture that costs more, runs slower, and is harder to observe than what it replaced.
The Serverless Architecture Framework provides fit-for-purpose decision criteria, cost modeling across the breakeven boundary with containers, cold-start mitigation per runtime, event-driven patterns that leverage serverless strengths, observability tooling, and the explicit anti-patterns where serverless is the wrong choice.
What you get: - Decision framework: when serverless wins vs. containers/VMs - Cost model with container-vs-serverless breakeven - Cold start analysis and mitigation per runtime (Node, Python, Java, .NET) - Event-driven patterns (choreography vs orchestration, SAGA, fan-out/fan-in) - Concurrency and throttling management - Observability (distributed tracing, cold-start attribution) - Security model (IAM, VPC, secrets) - Anti-patterns and migration-away criteria
Built for: architects, platform engineers, and tech leaders evaluating or operating serverless — who need rigor about when to use it, how to design it, and when to migrate off.