Bubble Up Your Node.JS I/O
summary
Node.js async activity visualizes as time–boxed bubbles so code interleaving becomes inspectable: running 1,000 requests produces ~12,000 async resources, bubble probe plus autocannon reveal where setTimeouts, promises and fs read cycles split and create throwaway promises, refactoring to parallel reads collapses those artifacts and yields 30% performance improvement on a real ipfs workload; includes raw traces from bubble probe and load from autocannon so the claim, the tools, the surprising counts and the working fix are all verifiable.
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chapters (17)
- 0:00Start
- 0:07Bubble Up your Node.js 1/0
- 0:57How to debug asynchronous activity?
- 1:44The Node.js Event Loop
- 3:221. JS adds a function as a listener for an I/O event 2. The I/O event happens 3. The specified function is called
- 3:36In Node.js, there is no parallelism of function execution.
- 4:06What about nextTick, Promises, and setImmediate?
- 4:47setImmediate exercise the same flow of I/O events.
- 5:12How to debug multiple asynchronous activity?
- 5:39The asynchronous context problem.
- 6:43There is no concept of asynchronous context in JavaScript
- 7:22If there is no context, how can you track I/O events?
- 8:42How to visualize asynchronous activity?
- 19:54Performance Considerations
- 21:28An increase in memory consumption increase the amount of work the garbage collector (GC) needs to do on our CPU.
- 22:54Therefore, latency and throughput are connected.
- 23:53If you need some help to improve the performance of your application, reach out!
