DEV Community: Abhishek tiwari

Automating Multi-Platform Social Auto-Publishers with Node.js & Docker

Abhishek tiwari — Wed, 14 Oct 2026 18:27:11 +0000

Automating Multi-Platform Social Auto-Publishers with Node.js & Docker

⚡ Automating Multi-Platform Social Auto-Publishers with Node.js & Docker - Here is what most developers miss in production!

By Abhishek Tiwari (Founder, JaipurDevs).

// Production Pattern Example
export async function runMicroservice() {
  console.log("Running high throughput pipeline...");
}

📖 Read full projects at https://www.abhishektiwari.online/

Mastering PostgreSQL Connection Pooling in Node.js and TypeScript Services

Abhishek tiwari — Wed, 14 Oct 2026 18:26:25 +0000

Most database crashes in Node.js apps don’t happen because of heavy queries.

They happen because of unmanaged connection pools.

When your TypeScript backend scales, spinning up a new Postgres client per request will eventually exhaust your database connection limit. Result? Connection timeouts, dropped requests, and sleepless nights.

Here is how we fix it in production:

• Use pg pool properly: Instantiate a single Pool instance, configure max connections based on your DB tier, and handle idle error events gracefully.
• Strict TypeScript Typing: Define explicit interfaces for your query parameters and returned rows to catch runtime mapping errors at compile time.
• Graceful Shutdowns: Always close active pool connections during SIGTERM/SIGINT signals to prevent dangling transactions.

Good architecture isn't about writing more code. It's about making sure your resources release cleanly when the traffic spikes.

What’s your go-to strategy for handling DB connections under heavy load? Let’s discuss in the comments.

TypeScript #NodeJS #PostgreSQL #BackendEngineering #WebDev

Mastering PostgreSQL Connection Pooling in Node.js and TypeScript Services

Abhishek tiwari — Wed, 14 Oct 2026 09:56:09 +0000

Most backend bottlenecks don’t happen because of poor hardware.

They happen because of unmanaged database connections.

When building high-throughput REST APIs using TypeScript, Node.js, and PostgreSQL, one of the most common silent killers is exhausting your database connection pool.

Here is how we tackle this in production:

• Strict Pool Limits: Always cap max connections based on your DB instance specs (don't let Node open unbounded clients).
• Idle Timeouts: Terminate idle clients gracefully so your connection pool stays lean and responsive.
• Type-Safe Queries: Leverage TypeScript interfaces with pg or Prisma to catch schema mismatches before runtime.
• Exponential Backoff: Implement robust retry logic for transient connection drops.

Writing backend logic is easy. Keeping it resilient under concurrent load is where the real engineering begins.

How do you manage connection pooling in your Node.js microservices? Let's discuss in the comments! 👇

TypeScript #NodeJS #PostgreSQL #BackendEngineering #SoftwareArchitecture

Building Resilient REST APIs with TypeScript, Node.js, and PostgreSQL

Abhishek tiwari — Tue, 13 Oct 2026 16:41:04 +0000

Most backend bottlenecks don’t happen because of poor hardware.

They happen because of unindexed database queries, sloppy async error handling, and types that only exist in the developer's head.

After building production services in Jaipur for global clients, I’ve learned that rock-solid REST architecture comes down to three non-negotiables:

1️⃣ Strict Type Safety: Using TypeScript across your entire Node.js stack eliminates entire classes of runtime bugs before they even touch staging.
2️⃣ PostgreSQL Indexing & Optimization: Never trust an ORM blindly. Inspect your execution plans and index your foreign keys.
3️⃣ Defensive Error Boundaries: Graceful degradation, structured logging, and robust async/await try-catch patterns keep your uptime high when third-party APIs fail.

Great software isn't just about making it work once—it's about making it survive production at 3 AM.

What’s your go-to pattern for handling background jobs and retries in Node? Let’s discuss in the comments! 👇

TypeScript #NodeJS #PostgreSQL #WebDev #BackendEngineering #JaipurTech

Building Resilient REST APIs with TypeScript, Node.js, and PostgreSQL

Abhishek tiwari — Tue, 13 Oct 2026 16:25:04 +0000

Most backend bottlenecks don’t happen because of poor hardware.

They happen because of unindexed database queries, sloppy async error handling, and types that only exist in the developer's head.

After building production services in Jaipur for global clients, I’ve learned that rock-solid REST architecture comes down to three non-negotiables:

Great software isn't just about making it work once—it's about making it survive production at 3 AM.

What’s your go-to pattern for handling background jobs and retries in Node? Let’s discuss in the comments! 👇

TypeScript #NodeJS #PostgreSQL #WebDev #BackendEngineering #JaipurTech

Building Resilient REST APIs with TypeScript, Node.js, and PostgreSQL

Abhishek tiwari — Tue, 13 Oct 2026 10:41:33 +0000

Most backend bottlenecks don’t happen because of poor hardware.

They happen because of unindexed database queries, sloppy async error handling, and types that only exist in the developer's head.

After building production services in Jaipur for global clients, I’ve learned that rock-solid REST architecture comes down to three non-negotiables:

Great software isn't just about making it work once—it's about making it survive production at 3 AM.

What’s your go-to pattern for handling background jobs and retries in Node? Let’s discuss in the comments! 👇

TypeScript #NodeJS #PostgreSQL #WebDev #BackendEngineering #JaipurTech

Type-Safe Full-Stack Architecture in 2025

Abhishek tiwari — Tue, 13 Oct 2026 10:33:07 +0000

Most backend bugs don't happen because of logic. They happen because TypeScript met a PostgreSQL response, nodded politely, and lied.

We've all been there:
• Frontend sends a camelCase object
• Backend expects snake_case
• Postgres silently returns null
• Production crashes at 2 AM

Building robust web apps from Jaipur doesn't mean reinventing the wheel. Over the last few months, I've tightened my stack to stamp out runtime type errors entirely:

Node.js + TypeScript as the bulletproof core
Strict REST API contracts validated at the boundary using Zod
Postgres schemas mapped directly to TypeScript interfaces

When your types flow seamlessly from database to UI, refactoring stops being a game of Russian roulette. You write code with absolute confidence.

How are you handling end-to-end type safety in your current Node/React projects? Let's discuss in the comments! 👇

Developer Growth & Tech Trends

Abhishek tiwari — Tue, 13 Oct 2026 10:03:57 +0000

Developer Growth & Tech Trends

Are Software Engineers Just Blue-Collar Workers of the Digital Age?

Abhishek tiwari — Tue, 13 Oct 2026 09:38:56 +0000

There’s a fascinating debate blowing up across Hacker News right now: Are Software Engineers actually blue-collar workers all along?

Think about it.

We punch digital tickets (Jira).
We assemble pre-fabricated components (NPM packages, REST APIs).
We troubleshoot systems when things break at 2 AM.

Sure, we wear hoodies instead of high-vis vests, and our tools are TypeScript and Node.js running on Postgres rather than wrenches and hard hats. But at the core? We are industrial-era craftsmen of the digital supply chain.

When I'm architecting scalable backends or optimizing queries in Jaipur, I don't feel like an ivory-tower artist. I feel like a mechanic keeping heavy machinery running.

Does calling ourselves 'blue-collar' devalue the craft, or does it finally ground us in reality?

How do you view your role? Are you an abstract thinker, or a digital blue-collar tradesman? Let's discuss in the comments. 👇

Your API Is Type-Safe Only When Postgres Agrees

Abhishek tiwari — Wed, 23 Sep 2026 10:47:23 +0000

Type Safety Across the Stack: Make Postgres, Node.js, and React Agree

The false guarantee: TypeScript interfaces describe intent, not runtime data.
Postgres as the first contract: constraints, role checks, foreign keys, and migration tests.
A typed query boundary: map generated row types into narrow application DTOs without leaking table entities.
Node.js validation: validate inputs once, serialize outputs, and standardize errors.
React integration: shared response types, a typed fetch wrapper, and explicit state models.
CI enforcement: type checking, migration validation, contract tests, and no-any rules.

Code snippet ideas:

A CHECK constraint for allowed roles
A shared UserDTO declared with satisfies
A boundary validator returning { ok, data } | { ok, error }
A React query consuming the same DTO without as User

Finish with a migration checklist for one signup or authorization flow.

TypeScript #NodeJS #ReactJS #PostgreSQL #FullStackDevelopment