API server becomes slow
API normally responds in: 50ms
Suddenly:
p50 = 50ms
p95 = 200ms
p99 = 3000ms
event-loop lag = 2.5 seconds
possible case:
- CPU-heavy task
- sync API
- large JSON parsing/stringifying
- GC pressure
- microtask starvation
- too much work on main thread
Event-loop Blocking
https://t.co/ylkNecSZ9a("/data", express.json(), (req, res) =>
{
// process huge object
});
Parsing JSON is CPU work.
For a very large payload:
Network
↓
JSON.parse()
↓
large CPU operation
↓
Event loop blocked
#devs
Vibe coding is incredible for validation.
It can turn weeks of work into hours.
For a production-ready product needs.
↳ Infrastructure
↳ DB
↳ Caching
↳ Queues & async jobs
↳ Security
↳ Scaling
No need to build all of these on day one.
But you do need to know they exist.
Solo founders — let’s connect.
Building alone is hard. Let's grow together.
If you’re building or exploring:
↳ SaaS
↳ AI tools
↳ Automation
↳ Indie hacking
↳ Dev & tech
Let’s connect, share , and grow together.
#buildinpublic#solofounder#SaaS#AI
Hi, I’m ASIF,
I’m back on X and looking to #connect with more people here who are In:
• Tech
• AI/ML
• Creators
• Founders
• Entrepreneurs
• Marketing minds
I’d love to connect, learn and share along the way. If you’re one of them.
#connect
What should an AI agent be allowed to do without approval?
A) Suggest
B) Draft
C) Execute
D) Decide
Most people want C.
Most businesses still trust A.
The real challenge with AI agents isn’t intelligence.
It’s trust.
Hey, @X algorithm!
Looking to #connect with people interested in:
Tech
AI / ML
Web & App Development
UI/UX Design
DevOps & Cloud
SaaS & Product Building
Open Source
If you’re building, learning, or shipping something,
let’s #connect#Connect#Tech#AI#WebDevelopment#SaaS
Microservices split:
Identify the specific endpoints causing high ELU and extract them into independent, auto-scaling microservices.
Cache heavily:
Implement Redis or memory caching to avoid executing the same data-processing JavaScript code repeatedly for identical requests.
Optimization & Prevention:Scale Horizontally (Clustering): Utilize Node's native cluster module or a process manager like PM2 to spawn an instance of your app for every available CPU core.