Creators face a delicate tradeoff: ads must be relevant enough to avoid alienating viewers, but not so relevant they’d feature them for free. Using LinusTechTips’ economics as a case study, we’ll explore the “sweet spot” that maximizes ad revenue while preserving long-term viewership.
Most people have limits on the computational capacity they have access to. Here I’ll describe steps to set up a SQL database on the cloud where, instead of paying for a brand new computer, one can pay only for what they use.
Ad exchanges sit between people who want to buy ads (advertisers) and those who wish to sell their ad spots (publishers). They help publishers maximize the value of each ad spot by collecting bids and ads from advertisers.
If you ever needed to use a bunch of disks as a single disk, then you might have heard of RAID. This wikipedia article is a good reference for a few commonly used RAID types.
Many moons ago I recall installing Ubuntu on my home PC because I was sick of Windows, the only operating system I had used up to that point. Even though Ubuntu was (and still is) a mainstream flavor of Linux, I found that it was pretty rare that an application I need got installed with zero issues. So I promptly formatted my hard drive and reinstalled Windows, and it wasn’t until macOS that a Unix-based operating system became my daily driver.
So some time ago I picked up Factorio on steam some time ago. The goal of the game is to gather resources and build tools, transportation, production and automation to bootstrap your way eventually to construct a rocket. There isn’t one single play style or winning strategy, so there’s excellent replay value… so naturally I played it for a bit.
So many batch pipeline orchestrators, which one to use? (hint: not cron)
There comes a time in every project when one has to come to terms with the mess that they have made. The number of files is increasing, and each file claims to be the most recent version and somehow none of them has exactly what you need. What exactly happened here?
Overview on the “why’s” and “how’s” of computations on distributed datasets — and what’s this Map-Reduce thing anyway?
Source for all six: github.com/tianle91/StaticSites
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