SSDs don’t really edit data in place Once data is written to a NAND page it can’t just be changed To update it the SSD writes the new data elsewhere marks the old page as invalid and later erases a whole block at once All this juggling is why SSDs feel so fast and reliable
DMA lets peripherals access memory directly bypassing CPU VM switches reducing latency for high throughput lO Keyboards mice gain little CPU suffices DMA compromise = full memory access risk Too many processes hurt cache & scheduling Secure IOMMU configs help mitigate DMA threats
In Node js every request is a stream It buffers about 16KB by default When full Node pauses writes After draining flow resumes This pause resume keeps memory safe like the stream knows when to breathe
When you connect() to a TCP server your app doesn’t do the 3 way handshake The kernel handles it Only after it’s complete does the kernel tell your app
Hey I’ve got a connection for you
Node.js is great but sometimes you need raw speed That’s where C++ addons come in
You can write performance heavy logic in C++ compile it with node-gyp and then just require() it like any other module
Boom your Node app runs native binary code under the hood
Node.js is single threaded by default… but you’ve got two ways to scale 👇
Worker Threads run in same process share memory good for CPU work but limited cores
Child Processes spin up separate Node.js instances with cluster
Cluster can balance with round robin or let OS decide
In Node js server.listen(3000) often starts faster than server.listen(3000, "localhost")
Why?
Without a hostname it binds straight to 0.0.0.0 all interfaces
With "localhost" Node has to resolve the name first usually through DNS or the hosts file
In Nodejs server.listen(3000) often starts up faster than server.listen(3000, "localhost")
Why?
Without the hostname it just binds straight to 0.0.0.0 (all interfaces)
With "localhost" Node has to resolve the name first usually via DNS/hosts file which adds a little overhead
When multiple clients connect to a socket errors get queued in the pending callbacks list
If one connection fails while another succeeds Node.js will process success first
But… if the IP is loopback (127.0.0.1) it jumps to high priority in the queue!
When you connect() to a TCP server the 3-way handshake isn’t done by your app it’s handled by the kernel
Only after the handshake completes the kernel tells your app
👉 Hey I’ve got a connection for you
process.nextTick() in Node.js is beautiful
It runs right after the current operation before the event loop moves to the next phase
Perfect for work you need done immediately before timers or I/O callbacks kick in
It’s wild how setTimeout works You just say do this later and somehow it happens
From what I get libuv basically tells the OS wake me up after X ms but if the event loop is busy the callback waits its turn
So setTimeout is never 100% precise just at least that delay Still
Ever start a Node.js server with no port? 🤔
Node quietly picks a random free one
Want to catch it in the act?
console.log(server.address().port)
Great for quick local tests but not if the world needs to connect
Using Buffer and streams Node can do zero-copy I/O
No need to copy data from one buffer to another Just pass the reference the kernel handles the rest
It’s how fs.createReadStream().pipe(res) sends GBs efficiently
Less CPU Less RAM Just raw speed
concat() kills zero-copy
Just scrolling through Express source late at night
Not debugging, not building just reading
Trying to understand the thoughts behind the code we all use
💬 Sometimes the best way to grow is to read what others wrote when no one was watching
await feels like a pause
But the event loop never stops
Your function sleeps Node keeps running
A callback sits in the microtask queue
Nothing blocks unless you block it
No threads No magic Just promises
Block the thread block it all
Async in Node is cooperative not parallel
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