Around July of 2018 I started looking at doing a podcast. One of the reasons being that I had just discovered podcasts by listening to podcasts in my commute to work. I was amazed about how much quality content there is available in podcasts of 30 to 60 minutes. Some of the podcasts I listen to are Rework, The Joe Rogan Experience, Hodinkee and the Time Feriss Show.

Why did you start a podcast?

I’ve always been interested, especially the last few years, in public speaking and meeting new people. New people and new experiences always give you a new way to look at life, and to me that’s what it’s all about. Although I do talk to people that work for big companies that are already really ingrained in especially the Dutch society, to me, the real gems are the smaller companies that are doing really innovative stuff but don’t always get the spotlight they deserve. Highlighting those companies was also one of the reasons I started to do this podcast.

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A lot of people lately have been looking into moving from Github to Gitlab. Mostly because of Microsoft’s acquisition of Github (set to finish late 2018). I do have my own views on this acquisition, but that’s not the point of this blog. My reasons are to really get into why we (at Tevreden.nl) chose to move from Github to Gitlab, and -spoiler- it’s not Microsoft. I will be going through are reasoning behind this move in a short point-by-point basis. Just a small disclaimer: I’m in no way, shape or form affiliated or payed by Gitlab.

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In my last blog you could read about setting up a serverless microservice and in this blog I would like to also touch on something serverless. Image analysis is a complex an tedious process and requires a lot of machine learning to get right, but fortunately Amazon has a solution for this called Rekognition. It’s super easy and works by taking an image from a S3 Bucket that you already created, and putting it through their own engine with probably millions upon millions of photographs. In the next examples I will show you how to do an analyzation using Boto (Python SDK for AWS).

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As you may have seen around the web lately, there is a lot of buzz about serverless architectures and what they mean to modern web development en hosting. To understand more about what serverless computing is and what it can do for you, it’s best to check out the Wikipedia page on serverless computing.

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A lot of people are really scared if they have to do a presentation. The thought of being in front of a group of people (or even worse, people you don’t even know) can be really frightening. I know the feeling, trust me, I used to think that there was nothing worse in the world than to stand in front of a group of people and tell my story. After doing a lot of presentations I thought I’d share a few tips that helped me be a better presenter.
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The Internet as we use it today is based in it’s foundation on the Hypertext Transfer Protocol (HTTP). This is nothing new and a lot of us are familiar with this protocol and know that it has been around for some time now (the version we commonly use now is HTTP/1.1, this version has been around since 1997). Looking at how long we are using the HTTP/1.1 it won’t come as a surprise that a new version has been developed in the meantime, and in May of 2015 the HTTP/2 specification was published.

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In the ever changing landscape of (web)hosting there will always be newer and more exciting techniques and software than you’ve seen before. One of those techniques is Docker. Staying up-to-date with all the new things in this industry is a challenge but also very exciting to witness. Working at Livebytes also means that I, as an engineer and hoster, have to go with the flow and see if these new pieces of software are interesting to use in client cases.

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