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Joined 2 years ago
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Cake day: June 22nd, 2023

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  • Look no further than Lightshot. It’s free, it can replace the PrntScn button. It lets you draw a rectangle, then add arrows, lines, text, then either copy to clipboard or save to disk.

    Then it disappears. No unneeded prompts, no wasting your time, no ads, no upsells. Nothing. Lightweight, simple, and free. It’s like a throwback to the 90’s freeware.

    As a software developer working with QA and often having to explain things to others as well, I’ve used this for years. It is the most optimal and efficient software for this purpose.


  • A RESTful service is (usually as of today) a JSON API. They aren’t mutually exclusive things.

    There’s no black and white definition there.

    However, when someone is creating a RESTful service, they’re stating that they’ll be paying mind to HTTP Verbs and status codes as a fundamental part of their design.

    In the original image posted, that dev clearly wasn’t paying mind to the HTTP layer and as such a commenter called it just a “JSON API”, which is the catchall, ugly, Wild West, typical way of doing things (always return 200, errors are in the json).

    Once again tho, it’s not black and white. Others can and will disagree and want to be pedantic. I’ve been a professional dev for 35 years, devs love to argue abt this shit.












  • Clickhouse has a unique performance gain when you have a system that isn’t operational data that is normalized and updated often. But rather tables of timeseries data being ingested for write only.

    An example, stock prices or order books in real-time. Tens of thousands per second. Clickhouse can write, merge, aggregate records really nicely.

    Then selects against ordered data with aggregates are lightning fast. It has lots of nuances to learn and has really powerful capability, but only for this type of use case.

    It doesn’t have atomic transactions. Updates and deletes are very poor performing.


  • I used to agree, but recently tried out Clickhouse for high ingestion rate time series data in the financial sector and I’m super impressed by it. Postgres was struggling and we migrated.

    This isn’t to say that it’s better overall by any means, but simply that I did actually find a better tool at a certain limit.