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So after a little mulling, I simplified the whole thing and worked out a few optimizations as well as a handful of extensions to consider in the long run. Let us first consider the case of scaling a grayscale image with no interpolation at all (this means not even nearest-neighbour). Let's say we're scaling up an image and what we have above is some small section of the image. The 2x2 window around the new pixel includes the pixels 8, 9, 14, and 15 (I use the transpose of y to save space because it's actually a column vector). For the case of a window size of 4, we'll need the entire 6x6 block, so I'll build that example for the red dot in the diagram. As you may have guessed, using a window of size 2 is a lot faster than using a window of size 4.
A Cool Logo may or may not be conveying what the company is exactly doing but you get a bleak idea through the concept. If you like this article, you might be interested in some of our other articles on Corporate Logo Designs, Negative Logos, Designer Logos, A Logo Is Your Image. AboutA popular Graphic and Web Design site where you can expect to see a unique take on topics, we try not to tread on familiar topics seen on other design sites. Since Directed Edge moved from being an API- and developer-only company into also supporting e-commerce platforms, taking screenshots to help out our customers is a regular part of our customer support process. We were primarily interested in S3, since we’re using it for image storage in another recommendations product that we have coming down the pipeline. So, now we need to head over to our DNS provider (Rackspace in our case) and enter in an appriate CNAME record, to get those lovely, Directed Edge-looking, URLs. However, once we entered our master credentials, we were able to select a bucket and begin uploading support screenshots to our new, pretty URL. We hadn’t been offline for a full hour in more than a year, so we were getting antsy at that point. The last time we had a similar issue (which was sorted out in under 15 minutes), I wrote a small program to go through and check every single database on a system. We have two redundant monitoring systems that live in a separate network and check all of our servers once per minute. Since the IntegrityChecker had worked so well the night before (as we still thought), I gave it another go. See, we not only have out-of-band monitoring, we also have monit running to restart things on our machines if something goes wrong. Fortunately we have backups, so we started going through accounts manually, offline this time, checking almost every database to try to find corruption. At that point we started restoring the broken databases to their last known good state — about 17 hours before all of the mess started. This is the first time in three and a half years of being in production that we lost data and we feel terrible about it.
So, we noticed recently that our Java and Python bindings were doing an extra round-trip to our servers for every request. Per the HTTP spec, when a request uses HTTP BASIC authentication, as our API does, the client is supposed to first send a request without credentials. While that makes sense for interactive use from a browser, for use in a web services API, it makes much more sense to avoid the extra round-trip and send the credentials already in the first request, thus significantly speeding up request times. So, it’s been a gazillion years since we posted updates here, but there have been a number of things shaking out of the woodwork.
First, we just did the biggest update to our Shopify app since we first launched it a couple years back. Whilst working on our Shopify app, which itself is a Rails app, we got frustrated with the current state of our Ruby bindings. You see, our Ruby bindings were written back in the dark days before we actually used Ruby at all inside of the company.

These days, along with Java and C++ (which our lower-level, performance critical bits are written in), we write quite a bit of Ruby as as such, our tastes have become more refined. The changes are most obvious in the importer above, but there are a lot of little subtle improvements in the API’s semantics. And there you’ve got recommendations based on some mix and match weights that seem appropriate to you.
There’s more on the nuts and bolts of that over on the Github page, and just let us know if you get stuck.
That’s pretty lean for all of the glue and display code for adding recommendations (and instant updating) to a full-blown e-commerce thingereedoo. There are a few neat technical things that are happening behind the scenes to make all of this stuff easy from a user’s perspective. One of them is a fancy custom SQL generator that builds optimal queries for all of this stuff. So if acts_as_edgy is set up to automagically send updates (a config parameter that can be called in the config blog that gets written when you call rake edgy:configure) then as soon as a model changes anywhere along that path, we get the goods. Altogether, while weighing in at a slim 382 lines of code the plugin is fairly light, but it’s pretty dense code with quite a bit of interesting stuff going on. Unlike with email, where there are heuristics at work to guess the intentions of the sender based on the content, Google has that data right in front of them. Think about it — in a typical internet search, a navigation path terminating at that page is the best result. Obviously this is a massive oversimplification of the problem of spam, but the paradox intrigued me. Wener Vogels, CTO of Amazon, has been spreading the good news about Directed Edge and we caught up with him when he was presenting about AWS in Berlin.
While a lot of the stuff in the last few months has been focused on internal tools and run-of-the-mill growing pains stuff, we’re getting pretty close to a series of announcements about new stuff coming down the pipe.
Jonathan Briggs, who runs The Market Quarter wrote a few months back on getting up and going with our Shopify app for recommendations. What astounded me was how many of my customers (not just visitors) clicked on recommendations. But, you see, I was none-too-keen on having another long-running Ruby process, not to mention an open port with production database data lumbering around on it, so I thought I’d let you guys in on a little hack we produced internally to let you get all of the fun of taps, but without the taps server. Basically it starts up the taps server on the remote server, tunnels the transfer over SSH, then sends a ctrl-c to the server to kill it’s done. Substitute in the right values in the constants up at the top and you’ve got a nifty way to securely use taps without leaving a server running. So I set off yesterday to rewrite our importer in C++ using Qt (and libcurl to grab the data). The first column is the default pure-Ruby ActiveResource implementation, the second is with the same, but using the implemented-in-C Nokogiri backend.
Whether you are working for a partnership firm or a big venture, a logo is what makes your visual identity clear.
Along with tutorials and articles, we also do round ups, how-to guides, tips, tricks and cheats on all of the hot topics in the design world. Skitch let you take screenshots of an application or region on your screen and quickly post those online with a handy link that you could show to others. A As seen in the configuration interface above, we had to enter our AWS API key and access token.
Up until today, our worst had been back in 2009 when we were still in beta, and it was more embarassing than critical.
Aside from our enterprise customers, which are usually on their own hardware, we run a bunch of our small and medium sized databases off of the same hardware.
We have a switch we can use to flip on function tracing which usuall makes it clear pretty quickly — or at least has in every instance up until now.

In fact, things looked great — it identified the database with a corrupt index, we rebuilt it, waited 15 minutes to make sure everything was kosher, and headed off to snooze. To recap, we started off with a relatively minor issue, which was made into a major issue by a tool that was built specifically for dealing with the exact situation we were facing, and those large issues were not caught by our generally quite good monitoring, which eventually even became part of the problem itself.
We’ll be doing some work on our internal systems to help us monitor, diagnose and fix these issues in the future. A It features a new Bootstrap-ified configuration interface and a whole bunch of new recommendations types. A Truth be told, the original version was written by yours truly a couple hours after I started learning Ruby. A It’s been possible to do such in a hackey way in the past, but the new stuff adds some special math-fu for time-clustered recommendations and storing high-traffic queues of updates.
If they click on an ad, it probably means you missed serving up the right page in the first place.
We shout that stuff out over at Twitter and Facebook, but we’ll pull some of the last couple-o-months together here.
If you’ve been thinking about adding recommendations to your Rails app, drop us a line now. Indeed the ExpressRex referrer is responsible for a full third (33%) of my revenue in the last quarter and has a 36% conversion rate. He has increased his customersa€™ average order size by recommending products as they browse the store and go through checkout. The third is just using my C++ backend directly and the fourth is with that bound to Ruby objects. You could draw arrows or other simple annotations before flipping the switch to send the image to the interwebs. Our web services setup is heavily multithreaded, so there are usually some 40-ish threads that are writing to the logs in parallel; figuring out which request was the one triggering the problem can sometimes be a bit tricky. We have a script to pull down databases from the production to our development machines, where we check the indexes for corruption. Pretty soon one of the other guys that’s working with me on the problem notices that the server process actually kept crashing all night, albeit at a somewhat reduced frequency (every 10 minutes or so).
And we noticed that a few accounts (about a dozen — the ones that had the misfortune of writing while the IntegrityChecker was checking them) had been effectively nulled out. It’s now been an 90 minutes since we had a crash or hang and all accounts are back online. As a corollary, the pages best optimized to pull you in via a search term and send you back out via a related ad are among the worst results. It’s so slow that the bottle neck is actually parsing the data rather than transfering it. A However, instead of only uploading images to its own server, it also allows you to upload images to various cloud services.
Basically it would disable an account for a few seconds, try to get a file lock on its files, and then run the integrity checker that we usually use offline to test such things. To remove other bottlenecks, I copied the file to a web server on localhost and queried that directly. It’s an annoyance (and let me tell you about the fun of trying to track down a bug that happens twice a year), but we have a script that can rebuild the indexes, depending on the size of the database, in somewhere between 10 seconds and 10 minutes. We fixed that and were back down to crashes every 10 minutes or so, but still had no idea what could possibly be causing the problems.

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