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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.
- MVP development can be hindered by scope creep, lack of user feedback, unclear objectives, an insufficient discovery phase, weak segment analysis, poor planning, and inadequate conceptualization. - An inadequate discovery phase or weak segment analysis might result in a product that does not meet market expectations. - Insufficient planning and poor conceptualization could prevent an MVP from reaching its full potential. - Agile methodology can assist in MVP development by providing flexibility, allowing for swift testing and iterations, and efficiently managing resource constraints. - Agile principles enable real-time feedback and immediate changes, crucial for MVP development. - Successful MVP development requires a strategic approach that includes steps like market research, product design, and testing. - Effective MVP strategy aligns with business goals, focuses on delivering customer value, and remains adaptable to potential changes.
- Continuous Integration (CI) is a practice where developers consistently merge changes to the main branch, while Continuous Deployment/Delivery (CD) automates the software release process. - Jenkins is a beneficial tool for CI/CD as it's open-source, easy to install, has a wide range of plugins, and allows building across multiple platforms. - Setting up a Jenkins pipeline involves installing Jenkins, configuring source control settings, creating build triggers, defining test procedures and setting up automated deployments. - Jenkins can also be integrated with other DevOps tools like Docker for task automation, Kubernetes for managing your Docker containers, and GitHub for code storage. - For security, use Jenkins' access control features and keep your tools regularly updated. Manage pipeline failures with recovery scenarios or a fail-fast strategy. To enhance performance, use Jenkins' master/agent architecture and integrate it with Ansible, Docker, and Kubernetes.
- The GCP login process requires user authentication through a Google email or phone number. It is initiated by inputting 'gcloud auth login' command in the shell. - Google Cloud Platform (GCP) works with Google Drive, providing the infrastructure for smooth functioning of Drive app. Login processes involve using your GCP account to connect and sync with Google Drive. - GCP certifications can be obtained through hands-on experience, gaining console access, and registering for the exam on the GCP certification page. - Navigating the GCP login interface can be simplified with familiarity and utilizing official tutorials for guidance. Troubleshooting steps involve checking network issues, password resets and verifying accounts. - Google Drive can be accessed via GCP through comprehensive sign-ins and personal access tabs for personal files. - To utilize Google Analytics with GCP, you need to set up an account and link a Tracking ID from Analytics to GCP. Implementing a four-step plan with Google Analytics 4 enhances the data tracking process.
