Git directory server vulnerability

Do you use git to manage your site and or server files? In my opinion, this is undoubtably a good way to run things but you need to make sure it’s secure. Just try going to If you haven’t secured your server properly, you will see the configuration file for your git repository. Not good, huh? Not only could an attacker reveal lots of information about your code base including where the upstream server is, I believe they could possibly get the entire source. This would allow the attacker to see exactly how the site works and be able to exploit it very easily.

Now, the good news. It’s an easy fix!

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Gold DoE Expedition

I recently undertook the expedition phase of my Gold Duke of Edinburgh in a Canadian open canoe. The team and I paddled from just outside Thetford all the way down to Cambridge on the River Thet, the Little Ouse, the Great Ouse and finally, the Cam.

For the expedition, we needed to have an “aim”. This could be anything from photographing the team at checkpoints to measuring the water PH levels. My team opted to photograph wildlife along the way and due to this, I took along my Nikon Coolpix P610 because it featured GPS – something I thought would be useful when it came to showing where the photos were taken! The camera also had a “logging” mode which allowed logging of it’s location, speed and altitude, every n number of seconds for x amount of time. I set it to every 30s for 12 hours each morning before we left so that I could see our precise route.

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RStudio Server

My father, Ben Anderson plays with numbers. As his Twitter bio says “big data, small data, open data, any data”. He works with R a lot and has been persuading me to take a look at it. I’ve held off until now because I’m all for analysing data in real time (primarily using delightful JS libraries such as Chart.js and D3.js). As far as I understood it, R is geared towards static data analysis and because of that, is able to utilise the hardware it runs on to optimise computations. Dad has an SSD in his Mac which reduces the time to load data substantially, but he also makes use of the R package data.table. This library makes manipulation of data ridiculously fast as it stores it all in RAM.

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