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3.1.2.3. Serverless Architectures for Scalability

3.1.2.3. Serverless Architectures for Scalability

Serverless eliminates capacity planning — the platform scales to zero when idle and handles thousands of concurrent requests without configuration.

AWS serverless compute:
  • Lambda: Functions scale automatically (up to 1,000 concurrent by default, can request increase to tens of thousands). Pay per invocation and execution duration.
  • Fargate: Container workloads without managing EC2 instances. ECS/EKS scheduler places tasks on managed infrastructure.
Serverless supporting services:
  • API Gateway: Routes HTTP requests to Lambda, ECS, or other backends. Handles authentication, rate limiting, caching.
  • DynamoDB: On-demand mode scales read/write capacity automatically. No table management.
  • S3: Unlimited object storage with built-in scaling.
  • SQS/SNS/EventBridge: Fully managed messaging with no capacity planning.
Serverless scaling characteristics:
ServiceScale UnitLimitCold Start
LambdaConcurrent executions1,000 default (soft limit)100ms-10s depending on runtime
API GatewayRequests/second10,000 defaultNone
DynamoDB On-DemandRead/Write capacity unitsDoubles previous peak within 30 minNone

Provisioned concurrency pre-initializes Lambda execution environments to eliminate cold starts. Use for latency-sensitive APIs where cold start delays are unacceptable.

Exam Trap: Lambda concurrent execution limits are per-region per-account. If one function consumes all 1,000 concurrent executions, other functions in the same account/region are throttled. Use reserved concurrency to guarantee capacity for critical functions and prevent noisy-neighbor problems.

Alvin Varughese
Written byAlvin Varughese•Founder•15 professional certifications