heynemann

7 ms·

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Show HN: Open-source contribution learning experiment – thumbor-bootcamp(github.com)
5 points by heynemann 5y ago|0 comments
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Show HN: Thumbor Release 7.0.0(github.com)
5 points by heynemann 5y ago|0 comments
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by heynemann 8y ago
I found about it after naming. It was named EasyQ first, but there's already another project named like that. :( Maybe we'll change the name later on.
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Show HN: Fastlane – a simple redis and docker based queueing service(github.com)
2 points by heynemann 8y ago|2 comments
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Thumbor-toy – Test and generate thumbor URLs graphically(plouc.github.io)
3 points by heynemann 12y ago|0 comments
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Show HN: Swnamer – create unique names using SW chars, species and planets(github.com)
2 points by heynemann 12y ago|0 comments
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by heynemann 12y ago
It can be easily implemented as a filter[1][2]. If you need to use it via command-line you can save the current buffer as a tempfile[3], call your CLI with the tempfile path and read the tempfile to use as the new buffer. It's even sim
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by heynemann 12y ago
Yep, that happens when we don't find any images in the DOM. I'll work it out to improve the wording...
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by heynemann 12y ago
Yes. Sometimes thumborize.me will get the image sizes weirdly. It's there mainly to give you an idea. The settings are the standard ones that come with thumbor. If you tinker with the settings you always get best results. I highly enco
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by heynemann 12y ago
Not sure how it compares, but thumbor is fully extensible. There are people using it with HBase, others with Amazon's S3 and Cloudfront, others with filesystem based solutions and yet others with redis or mongo backed images. Other tha
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by heynemann 12y ago
What website did you put into it? If your site loads images via javascript we don't capture it...
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by heynemann 12y ago
Just saw it. You are absolutely right. My bad... Will fix it tomorrow.
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by heynemann 12y ago
that's odd, I'm seeing all images here in my firefox in windows... What version of Firefox you using in what OS?
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Show HN: Thumbor – open-source on-demand image cropping, resizing, and filters(thumbor.org)
113 points by heynemann 12y ago|21 comments
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by heynemann 12y ago
Definitely... We get around 50M page views/day in our website. And since we are a media company we need to have a storage of images from celebrities, sports and news in general.
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by heynemann 12y ago
There's also thumbor ( https://github.com/thumbor/thumbor ). It's a very mature implementation of this type of server and has been very battle-tested ( https://github.com/thumbor/thumbor&#x2
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How to scale up your thumbor farm(heynemann.logdown.com)
1 points by heynemann 12y ago|0 comments
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Show HN: HOT Caching very slow queries in Python(heynemann.github.io)
1 points by heynemann 13y ago|0 comments
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Show HN: thumborize.me show how much you could gain by using webp with thumbor(thumborize.me)
1 points by heynemann 13y ago|0 comments
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by heynemann 14y ago
They do get put into redis. Maybe we should have a different storage strategy if the data is too big? File storage? I just meant for it to be simple. If you are going to use redis for storage then you'll need to fine tune it to the processi
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by heynemann 14y ago
I agree, but one of the next features we'll implement is for you to be able to write stream processors, mappers and reducers in any language you want. Stay tuned!
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by heynemann 14y ago
Yes and No. We use tornado for the stream (the task processor). That means that only one user gets to run a task simultaneously. That said, the stream is just an http application. This means that you can scale it as easily as you would any
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by heynemann 14y ago
We do horizontally scale redis as a farm. I'll try to get more details on how we do it as I'm not the one responsible. We thought of parallel reducers and it does make a lot of sense. The reason they are sequential is to get a first release
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by heynemann 14y ago
The license is in the README now. It's MIT licensed.
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by heynemann 14y ago
The reason I wrote r³ is because I was a little overwhelmed by how complex disco is to administer and scale. r³ was designed from the ground up to adhere to HTTP. That means it's pretty easy to scale using our old and well-proven techniques