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When you build backends for dozens of startups, patterns emerge—not just in code, but in what actually works at scale, under pressure, and with small teams.
At TLVTech, we’ve refined a set of backend design patterns we use across most projects—regardless of stack, industry, or company size. These patterns help us deliver faster, onboard developers quickly, and avoid messy rewrites later on.
Here’s what we use, and why it works.
We don’t start with microservices. We start with a modular monolith.
Why:
Once there’s real scale or organizational need, we extract services with clear boundaries. Premature microservices = wasted time and complexity.
We keep backend layers clean and predictable:
Why:
This structure works across NestJS, Express, Django, Spring—doesn’t matter. Clean separation always wins.
We use Data Transfer Objects (DTOs) to define inputs and outputs between layers.
Why:
Especially useful in TypeScript and Python with tools like class-validator or Pydantic.
We use async event patterns (pub/sub or message queues) selectively—mainly for:
Why:
We prefer lightweight solutions like Redis streams or AWS SNS/SQS before going full Kafka.
Every project has:
Why:
Observability starts with consistent logging.
We don’t rely on magic. We centralize config using .env files, secrets managers, or config services—so nothing is hardcoded.
Why:
Backend systems don’t win because they’re clever. They win because they’re predictable, understandable, and built to grow.
The design patterns we use are boring on purpose—because boring is what makes products stable, scalable, and easy to maintain.
If you’re building something and want backend that won’t crumble under growth, let’s talk.
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