We just released Bacalhau 1.7 — a major update to our open-source distributed compute platform. This release makes it easier to run jobs wherever your data lives, whether you’re working with IPFS, S3, HTTP(S), or local files.

New in 1.7: • Memory tracking for better observability • Job include/exclude flags for tighter execution control • Support for more generic data sources • Swagger/OpenAPI docs for smoother integrations • More robust logging and runtime intelligence

We built Bacalhau to simplify decentralized compute — think fast, local-style jobs across a distributed stack.

Here’s the blog post with details and demos: https://blog.bacalhau.org/p/announcing-bacalhau-17-empowerin...

Would love feedback or to hear how you’d use this in your own workflows. AMA.