Contact us
Contact us today to learn more about how our automation partnership service might assist you in achieving your technology goals.
Free consultation call
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.
Most mobile apps fail on security. From weak APIs to poor data storage, we cover the top risks—and how CTOs can fix them to protect users and scale with confidence.
- "Software architecture" refers to the structure or the blueprint of the software system, thus providing a complete understanding of system design, future changes, and code maintenance. - A comprehensive guide to the principles of software architecture is found in the book, "Fundamentals of Software Architecture: An Engineer's Collection of Tried-and-True Practices." - Software architectural design is a process involving gathering requirements, designing the architecture, and coding and integration. - Various software architecture resources exist on platforms such as GitHub, bookstore collections, and the internet that help in understanding the basics and honing architectural design skills. - Key principles guiding software architecture include designing for change, separating concerns, and maintaining simplicity. - Software architect Mark Richards made significant contributions to the field, particularly through his book, "Fundamentals of Software Architecture." - The role of a software architect involves designing the product's structure, working with the team, and guiding and overseeing the project. - Software architecture components include the code, user interface, database, design, algorithms, and user journey.
- Agile in software development is a set of methods for managing work. It divides work into smaller parts that are frequently reassessed and adapted, allowing for great flexibility with changes in customer needs. - Agile brings more value and speed to development based on four key values: prioritizing people and interactions, working software, client collaboration, and responding to change. - There are twelve principles of Agile focusing on satisfaction, rapid delivery, welcoming changing requirements, collaboration, trust, sustainable development, continual progress, technical excellence, simplicity, and reflective effectiveness. - Agile principles focus on adaptability and rapid feedback, differing from traditional methods which focus on resource allocation and long planning cycles. - The Agile software development cycle is structured into regular sprints involving planning, task division, execution, review, and revision. User stories are used to understand the software from a user perspective. - Agile methodologies include Agile Scrum, Extreme Programming, Iterative Development, and Feature-Driven Development. - Agile promotes teamwork, allows change, supports tangible results sooner, factors in real-time customer feedback, and tackles risk head-on. However, it can be overtaxing, require a proactive team, and could lead to potential long-term unforeseen issues due to its focus on the present.
