A feature request comes in.
The temptation? Start coding immediately.
But first, ask: “What problem are we actually solving?”
Sometimes, the best solution isn't another feature.
It's removing unnecessary complexity.
Before launching;
Test your links, payments, customer journey, mobile experience, data privacy, and backup plans.
Also, you don't need to be techie to prepare better.
#Entrepreneurship#ProductLaunch#SoftwareEngineering
Imagine spending months building your business…
Launch day arrives. 🎉
Then the payment link fails.
The contact form doesn't work.
Your beautiful website looks broken on mobile. 😭
The problem wasn't the idea.
Nobody checked if everything was ready.
Choose architecture based on bottlenecks, workload, team structure, and operational maturity, and not hype.
What's your pick: Monolith or Microservices? Why?
#SystemDesign#SoftwareEngineering#Microservices
Your app is approaching 1M users. Then someone says, “We need microservices!”
Now your team is debugging network failures, managing deployments, and chasing distributed logs instead of shipping features. 😭
Meanwhile, your database queries were the real bottleneck.
Before splitting your monolith:
1. Profile the system.
2. Optimize the database.
3. Fix inefficient APIs and
4. Scale the components that need it.
Microservices dont just solve specific problems, they also introduce new ones.
And 1M users don't automatically mean microservices.
An API can work perfectly and still have a problem; calm down let me explain.
Imagine sending a request to an API; It responds, returns the right data, and everything looks fine.
But there's one issue, It takes longer than it should and when users have to wait for every request,
Same goal, Better performance and More intentional engineering.
One thing I keep coming back to is that, good developers dont just write code that works; they investigate why it behaves the way it does.
An e-commerce startup's checkout worked perfectly.
Then a promotion brought in more customers.
Orders got slowed, emails arrived late. The team thought they needed more servers.
But first, I'd check the system design.
→ REST API for incoming requests
→ PostgreSQL for reliable order storage
→ Message queue for background tasks
→ Idempotency to prevent duplicate orders
4. Verify ownership before removing anything.
5. Decommission safely and monitor.
Sometimes deleting things just because they look useless is how you create a different kind of problem😂
And your cloud bill deserves a performance review too.
#SoftwareEngineering#CloudSecurity
Your company might be paying for an employee who resigned 6 months ago. 😭😂
Except this employee is an API endpoint.
Nobody uses it.
Nobody remembers it.
But the server bill keeps coming.
Meet the Dangling API: an abandoned deployment or endpoint that can quietly waste money or expose security risks.
Here’s how to catch it 👇
1. Audit deployed endpoints.
2. Check traffic and access logs.
3. Identify unused services and dependencies.
The real lesson here isn’t the fancy diagram;
It’s understanding when to push data out (write) versus when to pull it later (read).
That single decision is what keeps the whole thing from collapsing.
Enjoy the rest of your evening.
#SystemDesign#BackendEngineering#Systems
Ever wondered why Twitter (sorry, X) doesn’t just explode every time Elon posts?
Let me explain it like you’re hearing about system design for the first time.
Imagine you have 500 million tweets flying around every single day.
And for storage?
Tweet content lives in Cassandra, timeline pointers in Redis, pictures/videos in S3 + CDN, and search in Elasticsearch.
If something fails? The system is designed to show you something rather than a blank screen. Stale cache is better than no feed.