141–150 of 306 posts
Earlier quoted context omitted.
Quite. I was a VMware fanboi (25+ years, man and boy) I still look after a few VMware estates and a lot of Proxmox ones (that used to run VMware). Hilariously, VMware is described as "enterprise class", which I can only conclude means MVP and a bit wanky. Today I repaired a Proxmox HA + Ceph node using boring old normal Linux skills and as it turns out I have 30 years of those. Part way through a remote v8 to 9 upgra…
When I was first getting into software dev, I thought 'enterprise' meant 'industrial grade', 'powerful', 'high-performing'. Then I actually met some enterprise software, and realised that it means 'expensive', 'bespoke', 'one-off', and usually 'janky'.
This is why system programming still matters. Looks like they're missing the obvious optimisation of putting the record data right after the CacheEntry members instead of allocating memory separately though. But that might just be me as a C-programmer talking and not be all that easy in Rust.
Unfortunately, Rust is not a good choice for this kind of tricks. This is where Zig shines. In Rust, you can’t even use proper arenas, which can help a ton with allocations. Cloudflare started to pick Zig recently, for projects, that have memory constraints.
Now put the 100 terabytes of memory back to the market. Stop hoarding RAM.
This is the right way to deliver software. Produce working product first, validate the idea, stabilize the business, start generating profit, and then you can start optimizing your costs. In fact optimization is by far the easiest part of the process because there are many system programming experts on this HN thread who consider these optimizations to be trivial.
Good thing they jumped on that as soon as they were profitable instead of burning cash. Oh wait...
I think a distinction to draw here is that Cloudflare had relatively large capital raises and were almost immediately profitable¹. They had the luxury of throwing away money. Judicious optimisation makes sense for scrappy start-ups, especially when trivial optimisations like these could easily be farmed off to an agent.
This is the right way to deliver software. Produce working product first, validate the idea, stabilize the business, start generating profit, and then you can start optimizing your costs. In fact optimization is by far the easiest part of the process because there are many system programming experts on this HN thread who consider these optimizations to be trivial.
> In fact optimization is by far the easiest part of the process because there are many system programming experts on this HN thread who consider these optimizations to be trivia
This is a misconception when you including roll out as a part of the change too, changing data once its running in production is hard, changing the data structure is even harder and when you talk about making changes in cache which is at the hot path its probably the hardest. Looking at the graph at the end it looks like it took them 4+ months to roll out the changes after optimization.
Earlier quoted context omitted.
When I was first getting into software dev, I thought 'enterprise' meant 'industrial grade', 'powerful', 'high-performing'. Then I actually met some enterprise software, and realised that it means 'expensive', 'bespoke', 'one-off', and usually 'janky'.
Enterprise means it has SSO and a support contract
Earlier quoted context omitted.
i suppose you could say the same about buying a house. just make that initial 300.000 and from there on out its easy. everything looks better on paper
My house is a ~700 sqft. condominium, gov. subsidized for lower income individuals, and even my mortgage is more than 300k… maybe I’m just basing my info off of coastal city prices, but is it possible to buy a reasonably nice home located in a reasonably nice amerikkkan city… for $300k in 2026?