#Backpressure

Latest posts tagged with #Backpressure on Bluesky

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Posts tagged #Backpressure

Mark Jack

@markjackmilian.bsky.social

3 weeks ago

Just a moment...

Understanding #Backpressure & #LoadShedding in system design is crucial for building robust, efficient applications. Learn how these strategies help manage traffic spikes and maintain performance.

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Arclio

@arclio.bsky.social

3 weeks ago

#TerminologyTuesday: What Is "Backpressure"?

#Backpressure is how AI systems handle more demand than they can process without falling apart.

📌 Add this to your AI playbook.
#EnterpriseAI #SystemDesign #AI

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PostgreSQL

@postgresql.activitypub.awakari.com.ap.brid.gy

2 months ago

Очередь задач на Postgres: SKIP LOCKED + lease/heartbeat + backpressure (практический опыт) Как сделать надёжную очередь задач без Rab...

#PostgreSQL #очередь #задач #SKIP #LOCKED #FOR #UPDATE #lease #heartbeat #backpressure #at-least-once

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PostgreSQL

@postgresql.activitypub.awakari.com.ap.brid.gy

2 months ago

Очередь задач на Postgres: SKIP LOCKED + lease-heartbeat + backpressure (практический опыт)

Очередь задач на Postgres: SKIP LOCKED + lease-heartbeat + backpressure (практический опыт) В какой-то момент на старте в нашем data-сер...

#at-least-once #backpressure #FOR #UPDATE #graceful #shutdown #heartbeat #idempotency #lease #postgresql #SKIP

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Grant @3D Musketeers

@3dmusketeers.bsky.social

9 months ago

Extreme Pressure = Extreme Failure - PrintFixFriday 195 YouTube video by 3D Musketeers

Link here: youtu.be/wP6nc54KMYQ

#PrintFixFriday #Backpressure #Prusa

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DEV Community

@dev.to.web.brid.gy

11 months ago

Node.js streams | pipe through your way ✅ | say NO to pressure! ## Description _Poll phase is hijacked by the uncontrolled flow from readable stream._ This is a short post for a probable long post later. Recently I was implementing something using Node.js streams. And I got a really good opportunity to think about backpressure, event loop and closures! All concepts in one! ## Problem overview There's a csv file. Parse it using csv-parser and store the rows in an internal buffer. As soon as the buffer gets full, commit the rows in the database. The functionality should utilize asynchronous programming. Simply means that the main thread should be empty while the application is performing I/O operations. Seemed an easy problem until I started implementing it. Before moving to the solution, think about your solution. (Make sure not to miss the important detail: buffer) ## Solution overview Visualization of the problem: File.csv (I/O) -> readable stream (csv-parser) -> buffer -> commit to the database (I/O) Focus on the I/O part. I/O is handled in Node.js poll phase. The readable stream starts filling up the poll phase. As soon as a row is read by csv-parser, it will push the on data event handler to the main thread. This event handler will fill the buffer till 5 rows from csv file. After 5 rows, the handler should make a db call to commit the 5 rows. Since this is an I/O operation, we specify the async await operation. As soon as you complete the implementation and test, you'll see that the async db call made the main thread empty, so the rows from poll phase keep emitting the on data handler. Experts call this as "backpressure". Even though this implementation works for a small file, it will spike the RAM usage for a larger file. The current implementation will create a poll phase like this: csv, csv,... milion csv rows then db, db, ... million/5 db writes. All of these will try to execute at cpu speed. The drawback of this will be: at no point the main thread will be free until all the reads and db calls get executed. If this functionality is implemented on a rest api server, you will face a downtime since the main thread gets blocked now due to overflowing the poll phase. So, how do you control the flow of water from the tap? By closing the tap ;P Our main problem was: Poll phase is hijacked by the uncontrolled flow from readable stream. So, the solution is to simply put a pause when the buffer is full. While the stream is paused, make the db call to commit the changes and empty the buffer. Then resume the stream. This will make the poll phase look something like this: csv csv csv csv csv (5 only) db So the poll phase is not attacked by the js code. In between these operations, any api call made to the rest api server will also get served successfully since an api call will not need to wait for millions of callbacks to execute, only 6 callbacks. That's how the main thread is also made unblocked and the server is not also down and RAM usage is not spiked. Phew! At first it seemed like a jargon, but later on, it was just an event loop question! ## Conclusion Never block the main thread! PS: I will publish my project with complete setup of csv-parser, express js, knex.js and cron job with a well commented code and complete documentation for the educational purposes. Thanks for your attention!

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Thomas Milly

@millythomas.bsky.social

1 year ago

Upgrading to a Performance Exhaust: How the Pros Do it More often than not performance upgrades are related to the engine or a component in the engine bay. But performance isn’t only affected by your car’s powerplant and surrounding parts. …

This is why most #aftermarket #high-performance #exhaust #systems have large-diameter #piping. 🏎️ The best way to go about this is to have an inch of diameter per 100 #HP. 📏 This way you also avoid reducing #backpressure to the point where no... livinginsydneycom.wordpress.com/2024/10/17/u...

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