Copyright 2017-2018 Jason Ross, All Rights Reserved

Sometimes weird data sneaks up on your system and you don't see it until it's too late.

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Nobody likes work-related phone calls in the early hours of the morning; they have a nasty tendency to ruin your day, if not your weekend, and even worse they’re usually avoidable. The most avoidable of all are those caused by import data being, for want of a better word, garbage.

In the early days of a system things might work fairly well – the system has been developed to handle the data formats described in the “Data Transfer Specification” - but it doesn’t take long before things seem to go downhill quickly. Comparing the data you’re receiving to the specification, you’ll often discover that the description in the specification and the actual data your system receives are getting further and further apart. What should you do?

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After a lot of persuasion and, frankly, nagging from all of us, my wife has finally started to share her rather awesome recipes and household hints and tips on her own web site. As she has lots of readers from outside Canada she asked me to put together a feature on her site showing the current weather in Calgary, partly so that her readers can identify with her and partly to prove that it really does get as cold here as we tell people!

I looked around the web for a free weather site (she’ll probably upgrade when the site gets more visitors) and found one with decent reviews at APIXU (https://www.apixu.com/). They have some weather widgets but, like all of the other weather sites, none were quite the right size and none displayed quite what she wanted. The API looked quite good though, so I decided to give the site a try.

Analysis Paralysis

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Sometimes, when you or your team are trying to solve a problem, you find that you’re going round in circles and getting nowhere. There is always a reason why every solution is wrong, or you’re worried that if you start working on one solution it’ll turn out to be a dead end. You get into a cycle of thinking more and more about the details, where everything could go wrong, and then you realize you’re overthinking the whole thing. You ask for more information, and if and when it arrives then it too gets analyzed and you find you’re no closer to an answer than before. The whole process just goes on and on, with no apparent end in sight, and no actual results to show for it.

This is “Analysis Paralysis”.

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When people or companies make data available through APIs, it might seem that the simplest thing to do is to just download the data whenever you need it. It’s true that this is simple but it’s also very inefficient, and this inefficiency will only get worse as your system’s demands increase. For big data / cloud/ large scale systems you need a different approach, especially as it might not be just you who pays.

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In the everyday rush of work and family life it’s easy for personal projects to be neglected. That’s what happened to one of my sites, which hadn’t been updated since I moved it to a new web host in 2010, and was showing its age. I decided it was time to update it, so thought I'd describe the process here.