Curated articles, resources, tips and trends from the DevOps World.
Where will Python be in 100 years? It’s a question MIT-based AI researcher Lex Fridman posed to Python creator Guido van Rossum towards the end of a wide-ranging, three-hour interview.
In Part 1 of this series, we created an architecture for a distributed social media system, using a Visual Studio code project and corresponding JSON files. In Part 2, we figured out how to do mitigations — addressing problems like deleted tweets.
It’s an annual tradition at TNS — our own gift guide for that technical someone in your life. But whatever wacky gift you end up giving this year — whether it’s a Jurassic Park chess set or an alarm clock shaped like a PlayStation controller — it’s still the thought that counts.
Kubernetes is hard. There’s no way around that. With so many moving pieces, all of which have to interconnect, and complicated manifests, the technology can be rather daunting. Should you dive in too fast, you might become overwhelmed to the point where you’re not sure which way to go1
But which one should you use in your projects? Let’s chat about the popular naming conventions used in programming, and why you might choose one over another. Snake case and camel case are probably the most popular styles, so let’s cover those first.
Sorting is a common task in programming, and for that reason, most languages have a default sorting algorithm in their standard library. Go is one such language. Go has gone about providing sorting functionality in one of the most elegant ways possible, via an interface.
Java may not be the most cloud-friendly of languages, but that hasn’t slowed down its usage, according to results from SlashData’s “State of the Developer Nation” report for the third quarter of 2022.
Which architecture is better in terms of scaling, cost, and security — Kubernetes or serverless? A breakout session at Amazon Web Services‘ recent Re:Invent conference, “Competition of the modern workloads: Serverless vs. Kubernetes on AWS” was a six-point comparison of serverless vs.
What is it that a graph database enables you to accomplish that another type of database won’t? A Neo4j graph database lets you analyze, experiment with and accurately estimate the levels of relationship, influence and impact that elements of data (“nodes”) have on one another.
Django is one of my favorite frameworks I’ve used it across the years with great success. I have used Django in both small projects and highly scalable ones that involved bigger teams in the development of it.
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