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I'd like to have all digital media of my child, plus any media they might be interested in (pictures of young mom & dad boozing it up) securely stored for later consumption.Ī NAS, however, is not a backup ( obviously). Also, I recently became a dad (🎆!) and the storage of my photos has become much, much more important. I bought a new Synology DS1019+ last year and have 3x 8Tb disks filled with thousands of photos and video's. Please forward this article to all your colleagues, friends, grandmothers, pals and other assorted acquaintances.
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That's roughly a free 7 time performance boost for this specific back-end service. This immidiately increased the succesful response count from 1000 to about 7000. Now, if you're wondering what exactly this magical fix entailed, I'll give you a very, very simple tldr:ĭISABLE INFORMATION LEVEL LOGGING IN YOUR. We changed the settings according to the article, fired up the test script and. Then, during a moment of despair, one of the backenders peered at his Rider window, saw the logging coming in way slower than the NodeJS test script, and suddenly remembered an article he read. A hybrid mix of front- and backenders formed and tried out all kinds of scenarios. The requests also started failing: the difference of the docker/k8s layer removed gave the service better performance, but it still ended up hitting some limit! Solution NET service, and you'll probably guess what happened. NET service directly didn't give us the error.Īll was not well though, as one of our developers decided to up the amount of requests of our test script to hit the local. Reproducing it through docker seemed to yield the same results, especially since running the. NET service pod seemed to point us in the direction of - a kernel-level setting describing the maximum amount of socket connections handled in a queue. Writing a test script that hit the service from the front-end Kubernetes pod to the. Going through the massive amount of logging, we finally ended up pinpointing the issue to a request failing with ECONNABORTED due to a timeout of 3000ms being hit. Frustrated and burnt-out developers roamed the office, crying tears of failure. We sprinkled logging everywhere, but this also didn't give us any clues. Adding distributed tracing from front- to back-end services didn't give us any clues. At my current client, we have been chasing a frustrating issue between our NodeJS frontend and a specific.
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