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Based on our record, n8n.io seems to be a lot more popular than StackGres. While we know about 257 links to n8n.io, we've tracked only 10 mentions of StackGres. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It takes a little sweat, but you can wire Claude Code into n8n by running Claude through Docker, SSH, or local command execution from inside a workflow. That means n8n can route a request to Claude as one of its LLM backends. See: https://n8n.io/. - Source: Hacker News / 3 days ago
n8n โ open source, self-hostable. The hosted cloud tier exists if you'd rather not run it, but self-hosting is the whole point here. - Source: dev.to / about 1 month ago
You'll need an n8n instance (cloud or self-hosted), an FFmpeg Micro API key from ffmpeg-micro.com, and a cloud storage folder your team already uses for video files. - Source: dev.to / about 2 months ago
n8n and similar visual workflow tools were on the list for one specific reason: leadership likes seeing the boxes-and-arrows. But the LLM nodes aren't first-class โ you'd be wrapping every model call in HTTP, and the graph is in a database, not in code that's reviewable in a PR. Auditability and reproducibility are both worse than the LangGraph + bus path. (n8n is a great fit for non-LLM SOAR-style automations,... - Source: dev.to / about 2 months ago
Sign up at n8n.io (free cloud version is perfect to learn). - Source: dev.to / about 2 months ago
At StackGres [1] we find Timescale to be one of the most used extensions. Timescale is quite a successful project! StackGres is actually the first solution recommended by Timescale for self-hosting with Kubernetes operators [2]. So if you are into Kubernetes (or if not, consider it, using something like K3s [3] is quite straightforward and lightweight on resources), this is probably a great option to self-host... - Source: Hacker News / about 2 months ago
* Latency. Yes, yes, yes, they add "microseconds" vs "milliseconds for queries", and that's true, but just part of the story. There's an extra hop. There's two extra sets of TCP layers being traversed. If the hop is local (say a sidecar, as we do in StackGres) it adds complexity in its deployment and management (something we solved by automation, but was an extra problem to solve) and consumes resources. If it's a... - Source: Hacker News / 6 months ago
This is conceptually similar to what we did for Postgres extensions at the StackGres [1] project. I gave a talk at a Kubecon about it [2]. However, this scheme is not perfect. Some Kubernetes security solutions enforce immutable containers, and once the agent pulls any additional file into the container, it will be flagged. It's also harder to reason about the security of the image (think CVEs, etc), given that... - Source: Hacker News / about 1 year ago
I applaud the decision to use AGPL-3.0. For me, it's a license that provides forward guarantees to the Community: no proprietary forks can happen, so any fork will be an OSS fork from which the upstream project may benefit too, which benefits all users. That's the reason we chose this license for StackGres [1], another project in the Postgres space. [1]: https://stackgres.io. - Source: Hacker News / about 2 years ago
This is good and interesting recipe to get Keycloak and Postgres on Kubernetes. There is an important improvement, though: the Postgres deployed here is not production ready (high availability, backups, monitoring, etc). We run Keycloak on StackGres [1] which gives us production-ready Postgres setup (disclaimer: it's dogfooding). Happy to share the YAML manifests used to deploy Keycloak with StackGres. Maybe we... - Source: Hacker News / over 3 years ago
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Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Make.com - Tool for workflow automation (Former Integromat)
TiDB - A distributed NewSQL database compatible with MySQL protocol
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Google Cloud Spanner - Google Cloud Spanner is a horizontally scalable, globally consistent, relational database service.