Bite-sized videos on iOS development.
The iOS landscape is large and changes often. With short, bite-sized videos released on a steady schedule, NSScreencast helps keep you continually up to date.
Up to date with Xcode 15 and iOS 17
UIKit, SwiftUI, SwiftData, and macOS
Swift Language
High Quality Videos
Short and Focused
Any Device
Team Plans
Have I mentioned lately how awesome NSScreencast is? No? Worth the subscription. Check it out if you’re an iOS developer. Or even if you’re not and you want an example of how to do coding screencasts well.
Got tired of dead-end googling so I checked to see if @NSScreencast had covered what I was looking for. Of course he had, 4 years ago. Should have checked there first.
One 13-minute episode of @NSScreencast just paid for the yearly subscription fee in amount of time saved. Do it.
Seriously great stuff even for seasoned developers. I’ve learned a good amount from Ben’s videos.
You can really expand your development horizons in just a few minutes a week with NSScreencast.
Random PSA for iOS developers: @NSScreencast is a great resource, and worth every penny. It’s high quality, practical, and honest.
Can’t say enough good things about @NSScreencast There is gold in the Road Trip DJ Series.
I just reuppped my subscription to @NSScreencast. [An] indespensible resource if you’re into iOS or Mac Development.
Just finished @NSScreencast series on Modern CollectionViews. Strongly recommended. Programmatic UI, nicely structured code, easily approachable explanation style. 👌
#583
In this episode we will introduce Vapor's Queues package and use Redis as our backing storage engine. The performance characteristics of Redis make it a great choice to store work to be processed later. We'll then set up an EmailJob to send a welcome email to new users. We'll also explore how to run these in-process in development as well as separate processes for production. As a final bonus, we'll create a custom Vapor command to test this all out to see how it behaves with many jobs enqueued.
#582
Redis is a popular choice for a key-value store for backend applications. This can be used for a multitude of different reasons, such as caching with automatic expiration, rate limiting based on ip address, leaderboards, pub/sub and much more. Its performance characteristics make it a fantastic choice for queuing systems, which we'll cover soon. In this episode we will set up a redis server in our docker compose file, then integrate it into our Vapor application with a simple middleware to count the number of requests to a given path.