Hatchet

@hatchet_dev

The orchestration engine for teams who ship. 🚀

hatchet.run

Joined February 2024

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Hatchet
@hatchet_dev
Aug 26
We hold this truth to be self-evident: not all tasks are created equal. 📢‼️ Our new Slot Costs API lets tasks consume different amounts of slots on workers, which can be used as a proxy for allocating memory or weighing some runs on workers more heavily than others.
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Hatchet
@hatchet_dev
Sep 3
If you've read the Hatchet docs or been on the website lately, you'll recognize these animations. The original seed / inspiration for part of the design direction of the Hatchet website came from New York City subway panels (we're HQ'd in Brooklyn, after all). For an
Alexander Belanger
@abelanger5
Sep 3
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Our designer (the fantastic @grazsebastian) built us an entire animation engine. It uses the native `requestAnimationFrame` and CSS under the hood. A good visualization is worth a ton, and I've always wanted an easier way to create them for the Hatchet website and docs. For a
Hatchet
@hatchet_dev
Sep 1
Here's a peek at how the Hatchet control plane works under the hood when provisioning a new tenant. Every time you click "Create tenant," a Hatchet workflow fires and gets you a new tenant back in less than a second using a SAGA pattern.
Alexander Belanger
@abelanger5
Sep 1
I see a lot of talk about Postgres sharding, and I'd like to encourage people to consider a strategy where each shard is entirely self-contained (without needing a global router or query planner) before looking into a third-party sharding solution. This might not work for every
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Hatchet
@hatchet_dev
Aug 25
We're really excited to unveil Hatchet Embedded, now available for TypeScript, Python, and Go! 🔥🚀 Hatchet Embedded provides a lightweight way to run a full Hatchet engine inside of your workers, useful for local development, end-to-end testing, and CI.
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Hatchet
@hatchet_dev
Aug 13
🪓 Announcing support for batch tasks: easily buffer multiple payloads into a single task, configurable based on interval or max size. Batching can be an unreasonably effective strategy to increase throughput and perhaps more importantly, save 💰💰💰 on downstream APIs (*cough
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