3 ms·

As team of one, you have to be very judicious with your time. You often have to have a philosophy of "if it ain't broke, don't fix it". Yeah they could burn a

As team of one, you have to be very judicious with your time. You often have to have a philosophy of "if it ain't broke, don't fix it". Yeah they could burn a week or two switching over to lambda and whatnot but is it going to have a higher ROI than all the other things they could be working on? As me how I know. When I was a solo dev doing my own thing, I'd spend way too much time working on things that really wouldn't affect the business but were "good engineering things" to do. If I spent more time working on things that would grow the business instead of wasting weeks writing fancy deployment scripts, maybe I'd still be doing my own thing now!

outworlder 7y ago
> As team of one, you have to be very judicious with your time. You often have to have a philosophy of "if it ain't broke, don't fix it". Yeah they could burn a week or two switching over to lambda and whatnot but is it going to have a higher ROI than all the other things they could be working on? Timeframe has to be considered. If it only takes a week, I'd strongly suggest biting the bullet. A week's budget can be quickly spent troubleshooting issues, scaling servers up and down, installing software updates, hardening systems and whatnot. It will most likely be much cheaper to run too. Which, in a single-man operation, may be worthwhile.
- wink 7y ago
  Think of it the other way round - if your workload is not realtime, but "within minutes/hours", as in processing feeds here - scaling the worker nodes with an ansible scripts needs to be done on maybe a weekly (if not monthly or less) basis and you get 4/3 instead of 3/3 - for a few minutes of work. This just does not seem to be the workload for autoscaling and adding complexity. I've ran a similar setup at a past job - we planned for whatever but in the end it was one person clicking a few buttons to provision a new instance once in a while. Also some workloads are really bad for lambda, because you can (total napkin math) run 4 cores at 100% load for 24h a day to do your processing, all at the cost of "1 instance".

outworlder 7y ago

> As team of one, you have to be very judicious with your time. You often have to have a philosophy of "if it ain't broke, don't fix it". Yeah they could burn a week or two switching over to lambda and whatnot but is it going to have a higher ROI than all the other things they could be working on? Timeframe has to be considered. If it only takes a week, I'd strongly suggest biting the bullet. A week's budget can be quickly spent troubleshooting issues, scaling servers up and down, installing software updates, hardening systems and whatnot. It will most likely be much cheaper to run too. Which, in a single-man operation, may be worthwhile.

wink 7y ago
Think of it the other way round - if your workload is not realtime, but "within minutes/hours", as in processing feeds here - scaling the worker nodes with an ansible scripts needs to be done on maybe a weekly (if not monthly or less) basis and you get 4/3 instead of 3/3 - for a few minutes of work. This just does not seem to be the workload for autoscaling and adding complexity. I've ran a similar setup at a past job - we planned for whatever but in the end it was one person clicking a few buttons to provision a new instance once in a while. Also some workloads are really bad for lambda, because you can (total napkin math) run 4 cores at 100% load for 24h a day to do your processing, all at the cost of "1 instance".