Viewing profile — adityapatadia

Building https://www.gumlet.com Streaming video is still hard to do for a developer today and we are solving that with scalable and cheap infra for streaming.

This change finally helped our company move to typescript. Just converted many of services to TS and some are WIP. It’s a big win.

We use libvips as well sir. We can't overstate how much we benefit from your work!

We regularly donate to project via open collective. We frankly did not see here due to FB involvement I think.

Jason, here is a story about how much your work impacts us. We run a decently sized company that processes hundreds of millions of images/videos per day. When we first started abou…

For website hosting, it's okay but not great. We encountered issues when we tried to cache a lot of images. Their CDN storage seems really low compared to Cloudflare and Cloudfront…

It’s time saas apps realise that they can’t make 2.5x normal license money by just sticking AI to it. In our SaaS we added it for free. We realised that there is no way to sustaina…

Yes, App Platform. Pricing is a little higher but way lower than AWS but it is fully justified. Zero downtime in the last 1 year. With Fly, we had 3-4 downtimes in 2023 in a span o…

We left it about a year ago due to reliability issues. We now use digitalocean apps and working like a charm. Zero downtime with DO.

For image processing, use a proper SaaS dedicated to it: https://www.gumlet.com/image-optimization/

These servers are indeed job processing servers. They are critical but not milliseconds critical. Cooling, security, monitoring, backup generators, and backup of data all are taken…

3 years is what we planned. Any extra time we get will be a plus.

we know but it’s actually pretty good.

aditya [at] Gumlet.com

Yes, UPS + 2 independent power lines. Our server has a dual power input PSU. If either power fails, the other one keeps it running.

Nice ideas, but we have chosen a really simple Kubernetes deployment. We only install the host OS (ubuntu server) and then join the self-hosted GPUs as workers in a Kubernetes clus…

We bought 21. This is just a start.

Tailscale :) We, fortunately, don't need these exposed to the internet so Tailscale works beautifully.

Interestingly, we tried that RTX4000 before we decided to buy our own. Yes, ours will break even in 14 months. ($2300 cost + $40 per month datacenter cost)

I think a single L40 costs $1320 a month on latitude. L40 is also an older GPU.

$40 per server per month. Includes bandwidth, cooling and internet.