Serverless & Fargate Patterns

Serverless simplifies early architecture.

But over time:

Execution limits surface.
Cold starts introduce latency variability.
Long-running workloads strain boundaries.
Cost patterns shift with concurrency spikes.

Containers provide control, but introduce operational overhead if misapplied.

Neither model is universally correct.
The issue is structural alignment between workload and execution model.

We design hybrid architectures that combine serverless and containerized execution intentionally:

• Lambda for orchestration and burst workloads
• Fargate for long-running or resource-intensive processing
• Explicit separation between workflow and compute
• Bounded concurrency and execution limits
• Measurable cost and performance modeling
• Observable execution across layers

Execution models are chosen based on workload behavior — not preference.

We structure execution layers around workload characteristics.

Serverless handles lifecycle control and burst traffic.

Containers manage sustained or heavy workloads independently.

Execution layers do not own workflow state.

Concurrency and resource allocation are modeled before production traffic scales.

• AI and media processing systems
• Variable or long-running workloads
• Platforms experiencing cost inflection points
• Systems requiring tighter runtime control

• Improved performance predictability
• Reduced cost volatility
• Clear separation of orchestration and execution
• Controlled workload scaling
• Infrastructure aligned with real workload behavior

Execution models should reflect workload reality.
We engineer architectures that balance elasticity with control.