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Cloud & Infrastructure

Serverless Architecture Consulting

Event-driven and serverless design where it genuinely lowers cost and operational load.

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Overview

Serverless is excellent for spiky, event-driven and low-volume workloads. A service invoked a few thousand times a day can cost almost nothing to run and requires no patching. For steady high-throughput workloads, or anything with strict latency requirements, a container often wins on both cost and predictability.

We help teams tell those cases apart, then build the one that fits — including the parts people underestimate, such as local testing, cold starts, concurrency limits and tracing across asynchronous boundaries.

What you get

Pay for what runs

Idle workloads cost nothing, which suits internal tools and seasonal or bursty traffic well.

Less to patch

No servers to maintain, and a materially smaller operational surface for a small team.

Event-driven by design

Queues, streams and schedulers used properly, with retries and dead-letter handling thought through.

Tested locally

A development workflow your engineers can actually run without deploying to find out.

How we work

  1. 01

    Qualify

    We model expected invocation volume and latency needs, and compare serverless against containers on cost.

  2. 02

    Design

    Function boundaries, event flow, idempotency and failure handling defined before implementation.

  3. 03

    Build

    Infrastructure as code, local testing, structured logging and distributed tracing across every hop.

  4. 04

    Tune

    Memory, concurrency and timeout settings adjusted against real traffic after launch.

Common questions

Are cold starts still a problem?

Much less than they were, and provisioned concurrency solves the rest at a cost. For user-facing latency-critical paths it is still worth measuring rather than assuming.

Does serverless lock us into one cloud?

To a degree, yes. Keeping business logic in plain, testable modules with a thin platform-specific wrapper keeps the cost of moving manageable.

When would you advise against it?

Sustained high throughput, long-running jobs, heavy per-request memory, or a team with no appetite for distributed debugging.

Often paired with

Ready to talk about serverless architecture consulting?

We will tell you what we would do, roughly what it costs, and whether it is worth doing yet.

Book a meeting