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Hunter Leath
1,425 posts
Hunter Leath
@jhleath
Replying to @tailwiinderLinus is honestly such a masterclass in customer empathy- last month, we found out (the hard way) that datadog is too expensive for the amount of telemetry that our system outputs. luckily, one of our engineers realized they could use AI to duplicate Datadog's functionality (with a cleaner interface) directly on S3 in a few hours
- is it just me, or are YC companies generating insane revenue in just a few weeks now? congrats to X25!
- hacker news doesn't think that SQLite can be run directly on S3. they're wrong. @archildata makes it possible to run any program on S3, without extra persistent storage, including complex read/write database use cases
00:00 - firecracker is the gold standard in creating serverless-compute experiences from Functions-as-a-Service to AI sandboxes. now you can add unlimited, S3-backed storage to any Firecracker VM.
- The way developers interact with storage hasn’t changed since EC2 in 2006. We’re fixing that. Today, we’re announcing @archildata's $6.7M seed round led by @felicis. Infinite, shareable volumes — instantly connected to your data, and radically simplifying your system
- how hard is it to write to a disk without a file system? our code that writes to disk is 34,000 lines long. good luck out there.
- Replying to @penbergfolks can rewrite whatever they want. where they run into trouble is expecting it to actually replace an existing system with nothing new but theoretical benefits
- Today, I’m thrilled to announce that @archildata is publicly available in preview. Infinite, shareable disks that are instantly connected to your data and radically simplify your system architecture. You can get access to the same high-quality data infrastructure that the
- Replying to @jjjustjack and @tailwiinderRemember though, he wasn’t actually building a workforce. He was coordinating the work of hundreds of “volunteers” from some very successful companies with competing priorities
- people often ask how to write to disks safely, and the answer is quite simple: just keep calling fsync until you feel like the data is probably durable
- wouldn't it be great if you could just go to the s3 console and run unix tools on what's in your bucket? now you can. today, @archildata is launching Shells, a one-click, ephemeral Linux machine attached to your S3 bucket so you can run vim, less, and grep right on your data.
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