The Stack We Use for Fast Backend Delivery (and Why It Works)

Daniel Gorlovetsky
July 8, 2025

When you build backend systems across dozens of startups, patterns start to emerge.

At TLVTech, speed matters—but so does stability. Startups need to ship fast, iterate without breaking things, and scale without rebuilding their entire backend from scratch.

We’ve refined a tech stack that consistently delivers all three. It’s not about hype—it’s about choosing tools that get out of the way and let teams focus on product.

Here’s the stack we use, why it works, and where we adjust based on use case.

1. Language & Runtime: Node.js / TypeScript

We default to Node.js with TypeScript for most backend services.

Why it works:

  • Fast dev cycles with a huge ecosystem (npm)
  • Strong developer familiarity—easy hiring and handoff
  • TypeScript brings structure and safety without the boilerplate of Java or Go
  • Works great in serverless or containerized setups

We’ll use Python for ML/data pipelines or Go for high-performance cases—but Node/TS is our go-to for API-centric products.

2. Framework: NestJS

NestJS gives us the best of both worlds: fast setup + enterprise-level structure.

Why it works:

  • Modular, testable, and opinionated in a good way
  • Built-in support for REST, GraphQL, WebSockets
  • TypeScript-native
  • Easy to scale without becoming a mess

For simpler services, we may go with Express. But NestJS hits the sweet spot for most production backends.

3. Database: PostgreSQL (via Prisma or Sequelize)

Postgres is rock solid. It's our default unless the use case says otherwise.

Why it works:

  • Powerful relational features + JSONB for flexibility
  • Massive community and tooling support
  • Works well with ORMs like Prisma for fast iterations

We may bring in Redis for caching, MongoDB for unstructured data, or DynamoDB for specific scaling needs—but Postgres carries most of the load.

4. Infrastructure: Docker + Kubernetes (or ECS)

We build everything container-first.

Why it works:

  • Easy to develop, test, and deploy across environments
  • Kubernetes gives us scaling, service discovery, and resilience
  • For smaller teams, ECS or Cloud Run can be simpler and cheaper

We adapt based on team size, traffic needs, and deployment maturity—but the principles stay the same.

5. CI/CD: GitHub Actions or GitLab CI

Simple, integrated, and customizable.

Why it works:

  • Clean YAML configs
  • Easy integration with tests, builds, Docker, and deploys
  • Works across cloud providers

We keep pipelines fast and predictable. Every commit should be shippable. No manual deploys, no broken main branches.

6. Monitoring & Logging: Prometheus, Grafana, Sentry, and ELK

You can’t fix what you can’t see.

Why it works:

  • Prometheus + Grafana for infra and app metrics
  • Sentry for error tracking
  • ELK (or OpenSearch) for structured logs and search

We build dashboards that give teams visibility from day one. No waiting for a fire to realize you need alerts.

Why This Stack Delivers

  • Fast setup: Spin up production-ready services in days, not weeks
  • Developer-friendly: Easy for new engineers to onboard
  • Battle-tested: We've used this across fintech, SaaS, B2C, and more
  • Flexible: Swappable components without rewriting the world

Startups don’t have time to experiment with unproven tools. This stack lets us move fast, stay clean, and grow without surprises.

If you're building something and want backend speed without technical debt, let’s talk.

Daniel Gorlovetsky
July 8, 2025

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