Furthermore, if everything in an org is containerized and runs on Kubernetes, it's really easy to have a strong bias towards containerized workloads, which in turn can affect the kind of systems you build and their architecture.
43 karma · joined July 8, 2016
Furthermore, if everything in an org is containerized and runs on Kubernetes, it's really easy to have a strong bias towards containerized workloads, which in turn can affect the kind of systems you build and their architecture.
The main focus of the post is to highlight some of the long-term risks and consequences of standardizing around Kubernetes in an org. If you've done a proper evaluation, and still think Kubernetes makes sense for you, then it's probably a sound decision. But I think many skip the evaluation step or do it hastily. The post is more targeted towards organizations with at least a handful of employees. What works for an indy dev does not necessarily scale and work for SMBs or larger orgs - those are very different contexts.
> The article suggests just using EC2 instead of K8s
Not quite. I suggest strongly considering using managed services when it makes sense for your organization. The equivalent of k8s in terms of managed services would be Amazon Elastic Container Service (ECS) as the control plane, perhaps with AWS Fargate as the compute runtime.
(I wouldn't really call EC2 a managed service - it's more in the territory of Infrastructure as a Service)
Decent article, but a bit light on easy-to-use, practical details. They seem to make the case that ad-blockers are ineffective and too much of a hassle, but that's not my experience at all. I agree that tracking and privacy is a cat-and-mouse game, but I think ad-blocking currently is one of the easiest and most effective ways to block trackers. I installed uBlock Origin on my family's computers a couple of years back, and it has Just Worked™.
The next logical step would probably be PiHole or NextDNS for deeper blocking than some browser ad-blockers, as well as for blocking outside of a browser. I have DoT set up on my router and most off my portable devices, and there haven't been any hiccups yet.
All bets are off once tracking is implemented server-side though. The way GDPR currently has been enforced has led to a lot of bad practices by the tech industry, so we'll probably need new laws that regulate data gathering.
If AdBlock is a built-in feature in Edge on Android, I assume you still need to opt-in through the settings (e.g., Settings -> Enable AdBlock), no? In which case the setup is Firefox is similarly easy: Addons -> uBlock Origin. Perhaps a bit less intuitive for an average user, but still very straight-forward to set up.
As an example, there's currently no straight-forward way for the average Joe to set up ad-blocking on a mobile device (excl. DoH/DoT using PiHole, NextDNS, etc.). Many non-technical users are, however, familiar with the usage of ad-blocking extensions in their desktop browsers. They might not know the nitty gritty of how ad-blocking works, but most people seem to have one installed. Installing and using such an extension is just as seamless on Firefox for Android as it is on a regular computer.
I've recently created something similar for personal use. I have many websites (mainly webshops) I want to be notified about changes on, but they don't have RSS feeds, subscriptions or APIs than you can use.
I set up a cron job that runs daily, scrapes websites according to some XPaths, and saves the results to a DB. If any new elements have appeared, an email will be sent out. The biggest challenge is handling false positives: being able to distinguish between a new element and e.g., a previously seen element with an updated title, description etc. For websites that directly expose what seems to be unique, server-side, identifiers in their HTML, using that as a primary key seem to work well. If that's not available, the href of the HTML element seem to be fairly static.
Do you have any thoughts on the issue of false positives and unique identifiers?
Admittedly I don't use Markor very frequently, and often just use Evernote instead when I'm on my phone and want to jot down something quickly... This is mostly because I feel the need to organize in folders etc when using Markor and vimwiki, so my mental model of it includes a bit more friction compared to Evernote.
In that vein, I've created a webapp [1] that runs entirely client-side using TensorFlow.js, and let's you generate videos of latent interpolation, images and tweak with parameters using a less-conventional generator trained on many different datasets.
The functionality I use the most in tmux is:
- attaching and detaching from a tmux session (e.g., for running machine learning jobs over SSH)
- having multiple terminals open inside of one
- scripting the setup of windows, panes, etc. for different projects I'm working on
I basically use vim and tmux as an IDE: my usual setup consists of one large pane consisting of vim and code, while two other panes are available for running git commands, starting servers, etc. Within one tmux session I separate different projects (e.g., frontend and backend) into tmux windows, and it's very easy to switch between panes, windows and sessions using keyboard shortcuts.
I ended up converting my Python models to TensorFlow.js and creating an ad-hoc Vue.js app [0], but Streamlit could have been very beneficial here, especially if you can just put nginx in front of it and serve it to the masses.
Sure, but that is not the distinction I was making though. Google Analytics is a first-party tracker in the sense that it sets a cookie on the same domain that the script is loaded on. Contrast this to a third-party tracker which sets a cookie on its own domain, and as such the same cookie will be reused for all websites using this third-party tracker.
> it tells Google what they looked at and when
As far as I know only Mozilla has access to the data collected through their Google Analytics account. Third-party trackers, however, often aggregate collected data across a wide range of websites, and might sell augmented, highly profiled user data to advertisers. I have not seen any reports of Google using Google Analytics in such a way, but the data is nonetheless stored on their servers, so you will have to trust that they won't abuse their power.
EDIT: As mentioned by throwaway9d0291, it seems like there are settings for enabling or disabling the sharing of Google Analytics data with Google. Not sure if this is opt-in or opt-out though, but this means that it possible to use the service without Google using the collected data.