9. User perception rule: <100 ms = instant 100–300 ms = snappy 1 s = laggy 10 s = abandoned
10. Rule of thumb: “Network ≫ Disk ≫ Memory ≫ Cache in latency. Distribute only what you absolutely must.”
5/5
10 Latency Facts Every Engineer Should Know Before Scaling
1. L1 cache hit -> 0.5 ns
Accessing data from CPU cache is 200,000x faster than a network call.
2. RAM access -> 100 ns
That’s 100x slower than cache, but still a million times faster than disk.
1/5
7. Disk-based DB query -> 5-10 ms Each read = millions of CPU cycles. Index wisely. Cache aggressively.
8. TLS handshake -> 20-50 ms Secure, but expensive. Reuse connections or terminate early in a proxy.
4/5
I saw a guy coding today.
Tab 1 ChatGPT.
Tab 2 Gemini.
Tab 3 Claude.
Tab 4 Grok.
He asked every AI the same exact question. Patiently waited, then pasted each response into 5 different Python files. Hit run on all five. Pick the best one. Like a psychopath.
It's me.
Finished JavaScript? Learn TypeScript next.
Why? Especially in VS Code:
⚡ Native support
🧠 Smarter autocompletion
🔍 Instant type errors
🛠️ Jump to def, refactors = easy
TS isn't just stricter JS — it's how you write safer, faster code.
#TypeScript#JavaScript#freelance
Access Token: "Expires in 15 min."
Refresh Token: "I’m basically a Horcrux. Use me to get another you."
OAuth2 devs be like:
👨💻 "Session state is for muggles."
Because stateless auth > cookies.
#WebDev#OAuth2#JWT#Dev#SoftwareEngineering
This phenomenon occurs because having too many choices requires more cognitive effort, leading to decision fatigue and increased regret over our choices.
What is the Paradox of Choice?
The paradox of choice is a concept introduced by psychologist Barry Schwartz which suggests that the more options we have, the less satisfied we feel with our decision.