11/19/2023 0 Comments Nodejs monitor memory usage![]() ![]() To do so, I connected to the server via ssh at the time when the server's usage peaked and ran the free and top commands, getting the following results: I'm trying to gauge memory usage to determine which instance type is most appropriate, and how much memory we actually need. String of code and potentially that could hang around.I have an elastic beanstalk environment running a nodejs server. No, it's not evil when usedĬorrectly and this is a good example of a correct usage □ (Just don't let yourĪpp users control the code that other users are evaluating □).Īnyway, one reason this is an issue is because every request that comes in for aīlog post results in triggering this code which means V8 needs to compile that That's right! new Function!! Basically eval. Here's the whole thing: import path from ' path' Now, I have aĬreates and downloads the heap snapshot for me. Heapdump package, before realizing that thisįunctionality is built-into Node.js. To create a snapshot in node, I started with the Snapshot, but it was a challenge to find what was causing them. In my video above, I could easily see a few problematic things within the heap Unfortunately, it can be pretty difficult to interpret heap snapshots. Snapshots in Node.js and load those into Chrome, so I decided to give that a Issues in browser apps before using them. ![]() Has support for creating and exploring heap snapshots and I've diagnosed memory Heap snapshots are files that describe everything that is currently in memory. Unfortunately, the logs were not helpful at all. I even added aĪlmost everything (which is pretty cool, pop open your network tab and check it Unfortunately, when the spikes did happen, I couldn't determine anything out of That I could and maybe should pipe those logs to some other service or somethingīut this is my personal website after all. Them to see whether there was anything that triggered the spikes: fly logs -a kcd > ~/Desktop/locker/logs/kcd.$(date +"%Y%m%d%H%M").logīecause I never knew when the spike would happen, I would just run that on aĬomputer and leave it running and then review it after the fact. ![]() The first thing I tried was saving logs to a file on my laptop so I could review Spikes, people would visit my site and it felt pretty quick sometimes, but notĮverything worked quite right. Pretty much after every deploy, memory would slowly increase until it hit aĬritical point and then it would spike along with a huge spike in CPU usage,ĭuring which time my app struggled to keep up with requests. Problem, but I'll get to that in a minute. Those giant spikes of memory are actually when I tried to do something about the Typical blog-pholio project), here's what we're dealing with: So now that you understand the scope of what we're dealing with (not your Other content pages that are written in markdown as well. Instead compile their blog posts at build time so they don't typically run intoĪlso useful to know that I have ~200 blog posts on this site plus a number of Seconds without having to redeploy my site. I can change update a blog post (like fix a typo) and have the post updated in Written in MDX and compiled at runtime with One important thing for you to know about my blog is that the blog posts are I normally getĪround a quarter of a million views a month.
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