The memory allocation for a Lambda function can go from 128 MB to over 3 GB. This directly affects the memory available to the function and also increases the price so you are encouraged to set it as low as possible. But this setting is not just about memory, as it affects CPU allocation, running time, CPU variability, and function scalability.

Quite some time has passed since I last worked with Google APIs but now I had a project to use them. I needed a solution that involved choosing a folder inside Google Drive and listing the contents inside it. Simple enough, but when I looked at the reference implementations I felt like going back a few years.

When I was working on a video course I needed a way to turn a series of slides into a video, preferably with a nice transition in between. I had the slides in PNG format, and I also had the timing information, i.e. when the transition to the next slide should happen. Then I started looking for a solution to turn those images into a video and that turned out to be more involved than I initially thought.

How to save development time with event-driven live reloading