DEV Community: tomurashigaraki22

Why I Built an Alternative to Sentry (That Doesn’t Overcomplicate Monitoring)

tomurashigaraki22 — Tue, 05 May 2026 14:07:53 +0000

Why I Built an Alternative to Sentry (That Doesn’t Overcomplicate Monitoring)

Sentry is powerful. No argument there.

But for a lot of developers, it’s also:

too heavy
too complex
and sometimes overkill

Especially if you just want one thing:

Know when your app breaks.

That’s why I built Watchup.

👉 https://watchup.site

The Problem with Most Monitoring Tools

Modern monitoring tools are designed for scale:

large teams
complex infrastructures
deep observability pipelines

But if you're:

building a startup
running side projects
managing a few APIs

You don’t need all that.

You need:

simple setup
fast alerts
clear signal when something goes wrong

What Developers Actually Need

In most real-world cases, the core needs are simple:

Is my service up?
Is it throwing errors?
Is it getting slower?

That’s it.

Not:

50 dashboards
complex tracing setups
or hours of configuration

What Watchup Does Differently

Watchup strips monitoring down to the essentials.

👉 https://watchup.site

Instead of building for enterprise complexity, it focuses on:

1. Fast Setup

You don’t spend hours configuring pipelines.

You connect your service and it starts monitoring.

2. Real Alerts, Not Noise

A monitoring tool is useless if it spams you.

Watchup focuses on:

meaningful alerts
fewer false positives
actionable signals

3. Lightweight by Design

No unnecessary overhead.

No bloated dashboards.

Just:

monitoring
detection
notification

When You Should Use Something Like Sentry

To be clear — Sentry is still great if you need:

deep error tracing
distributed system debugging
large-scale observability

But if you don’t need all that, it becomes friction.

Where Watchup Fits

Watchup is for developers who want:

simple service monitoring
quick alerts
minimal setup

Without turning monitoring into a full-time job.

Try It

If your goal is just to know when things break:

👉 https://watchup.site

Final Thought

Monitoring shouldn’t slow you down.

It should quietly do its job and alert you when it matters.

Anything more than that is noise.

I Built Watchup — A Simple Way to Track and Monitor What Matters on the Web

tomurashigaraki22 — Tue, 05 May 2026 14:06:20 +0000

I Built Watchup — An African Alternative to Sentry for Monitoring Services

Most developers don’t realize their app is down until users complain.

By then, the damage is already done.

That’s the problem I wanted to solve when I built Watchup.

👉 https://watchup.site

The Problem: You Don’t Know When Your App Breaks

If you're running any backend, API, or production service, you’ve probably faced this:

Your API goes down — you don’t notice
Errors spike — no alert
Performance drops — users silently leave

Unless you're actively watching logs 24/7, you’re blind.

Existing tools exist, but:

they’re expensive
overly complex
or built for large teams, not solo devs

What Watchup Actually Does

Watchup is a service monitoring and alerting tool.

It continuously checks your services and notifies you when something goes wrong.

You get alerts for:

downtime
errors
performance issues

Instead of guessing, you know immediately.

How It Works

At a high level:
Your Service → Watchup Monitoring → Issue Detected → Alert Sent

More concretely:

You connect your service
Watchup monitors it in the background
If something breaks:
- you get notified instantly (Email, Slack, Telegram)
You fix it before users start complaining

Why I Built Watchup

Most monitoring tools are built like this:

enterprise-first → complex setup → expensive pricing

Watchup flips that:

developer-first → simple setup → lightweight usage

The goal was clear:

no unnecessary dashboards
no complicated onboarding
just monitoring that works

Key Features

1. Silent Monitoring

Your services are tracked continuously without manual checking.

2. Real-Time Alerts

You don’t need to refresh logs or dashboards.

If something breaks, you’re notified immediately.

3. Multi-Channel Notifications

Alerts can be sent through:

Email
Slack
Telegram

4. Performance Awareness

It’s not just “up or down”.

You can detect:

slow responses
unstable services
degrading performance

Challenges While Building It

Detecting Real Issues (Not Noise)

Too many alerts = useless product.

Solution:

smarter thresholds
filtering false positives

Scaling Monitoring

Monitoring multiple services efficiently is not trivial.

Solution:

optimized check intervals
efficient request handling

Keeping It Lightweight

The goal was not to compete with enterprise tools — but to be usable.

So every feature had to answer:

“Does this actually help a developer react faster?”

Where Watchup Fits

If you’re:

building APIs
running backend services
deploying side projects
managing production apps

Then you need monitoring.

Watchup gives you that without the overhead.

Try It

You can try it here:

👉 https://watchup.site

Final Thought

You shouldn’t find out your app is broken from your users.

You should find out before they do.

That’s what Watchup is built for.

Lessons Learned Scaling a Web App from 0 to Production Users

tomurashigaraki22 — Tue, 05 May 2026 13:58:07 +0000

Lessons I learned the hard way

Scaling a web app is less about adding features and more about surviving real usage. When traffic is low, almost anything works. When real users arrive, everything that was "fine" starts breaking in subtle ways: slow pages, inconsistent data, and backend bottlenecks you never noticed in development.

This is a breakdown of practical lessons from taking a small web app from initial build to production usage.

1. The first mistake: assuming "it works locally" means it works

Early versions of most apps run on:

small datasets
single user flows
cached development responses

That hides problems like:

repeated API calls on every render
unoptimized database queries
full-page reloads instead of incremental updates

Once real users arrive, those assumptions fail immediately.

Key lesson:

If something is slow with 10 users, it will collapse at 100+.

2. Backend bottlenecks appear before frontend issues

Most people blame UI performance first. In reality, the backend is usually the real bottleneck.

Common issues:

unindexed database queries
redundant joins
missing pagination
synchronous processing of heavy tasks

Fixes that made the biggest impact:

adding proper indexing on frequently queried fields
introducing pagination early (not later)
caching repeated responses instead of recomputing

3. Caching is not optional

Without caching, every request hits your database or compute layer directly.

What changed everything:

caching frequent API responses
storing computed results temporarily
reducing repeated authentication checks

Even simple in-memory caching can drastically reduce load before moving to Redis or distributed caching.

4. Frontend performance issues are often self-inflicted

Typical problems:

unnecessary re-renders
unoptimized API calls
loading entire datasets at once

Fixes:

debounce search inputs
lazy load components
fetch only what the screen needs
avoid global state overuse

Users don't care about architecture. They care about speed.

5. Real-time features break things fast

Once you introduce real-time updates (WebSockets, polling, etc.), new problems appear:

duplicate events
race conditions
inconsistent UI state

The solution was not more features, but stricter event handling:

idempotent updates
event deduplication
clear state ownership rules

6. Deployment matters more than expected

A "working app" can still fail in production due to:

slow cold starts
improper environment configs
missing scaling rules

Important fixes:

environment separation (dev vs prod)
logging everything critical
monitoring request latency

If you can't see what's happening in production, you're blind.

7. Observability is not optional

Without logs and metrics, debugging becomes guesswork.

Minimum setup:

request logging
error tracking
response time tracking

Even basic logs reduce debugging time significantly.

8. Where Watchup fits into this

A lot of these lessons came from building and refining a real production system.

The current live version is here:

https://watchup.site

It reflects the evolution from early prototype to a more stable system after improving performance, API structure, and deployment reliability.

Final takeaway

Scaling is not about rewriting everything. It's about identifying the real bottlenecks and fixing them in the right order:

database performance
backend efficiency
caching strategy
frontend rendering behavior
infrastructure visibility

Most apps don't fail because they are badly built. They fail because they are not optimized for real usage.