The Hardest Part About Being a Backend Developer Right Now

karaa — Sat, 16 May 2026 21:42:17 +0000

It’s not learning new frameworks.

It’s not debugging distributed systems.

It’s not scaling APIs.

It’s staying motivated while job searching.

Over the last few months I’ve:

optimized resumes
redesigned GitHub profiles
solved coding problems
improved portfolio projects
applied to remote jobs daily

And honestly? It gets mentally draining after a while.

But during this process I realized something valuable:

The strongest skill you can build as an engineer is consistency.

Even while searching for opportunities, I kept building:

NestJS microservices
Django REST APIs
CQRS/event-driven workflows
RabbitMQ integrations
scalable backend architectures

One thing I’ve learned:
real-world projects teach more than endless tutorial consumption.

If you’re a developer struggling in the current market:
keep shipping projects.
Keep documenting what you learn.
Keep improving your fundamentals.

The market changes constantly, but strong engineering skills stay valuable.

Right now I’m continuing to focus on backend engineering, distributed systems, and scalable application architecture — and sharing more of that journey publicly.

What backend technology are you currently learning or building with?

🚀 Mastering select_for_update() in Django: Prevent Race Conditions the Right Way

karaa — Fri, 06 Jun 2025 20:47:31 +0000

Handling concurrency in your Django applications? Then you’ll want to make friends with select_for_update(). This handy ORM method helps lock database rows during a transaction, ensuring that your data stays consistent—even under high load.

Let’s break it down with a real-world use case.

🔍 What Is select_for_update()?
In short: it locks rows in the database until the end of the transaction, preventing other transactions from modifying or acquiring a lock on those rows.

It’s especially useful for:

Inventory systems
Bank transfers
Purchasing Ticket
Preventing double submission

🛒 Example: Locking a Product Row During Checkout
suppose you’re building an e-commerce backend where users can buy products. You need to ensure that the stock count is accurate—even if 10 users try to buy the same product at once.

Here’s how to use select_for_update():

from django.db import transaction
from .models import Product

def purchase_product(product_id, quantity):
    with transaction.atomic():
        product = Product.objects.select_for_update().get(id=product_id)

        if product.stock >= quantity:
            product.stock -= quantity
            product.save()
            return True
        else:
            return False

What’s happening here?

We start a transaction using transaction.atomic().
We lock the product row with select_for_update().
The row stays locked until the block exits.

⚙️ Advanced Usage
You can customize the locking behavior with a few extra options:

Product.objects.select_for_update(nowait=True).get(id=product_id)

nowait=True: raises an error if the row is already locked.
skip_locked=True: skips locked rows entirely (useful for task queues).

🧠 Final Thoughts
Locking rows at the database level is a powerful tool—but with great power comes great responsibility. Use select_for_update() wisely.

Want to take your Django database handling to the next level? Start by locking smarter. 🔒

💬 Got questions or use cases? Drop them in the comments—let’s nerd out about transactions and Django internals.

Forem: karaa

The Hardest Part About Being a Backend Developer Right Now

🚀 Mastering select_for_update() in Django: Prevent Race Conditions the Right Way