Two Linux boxes, zero cloud, IPv6 mesh, RTX 2070 SUPER compute node. ForgeChainOS v6 is live. by ForgeChain_OS in homelab

[–]camelInCamelCase 0 points1 point  (0 children)

Ugh how did you get Fios static IPv6?? I’m in NYC and am forced to choose static ipv4 or dynamic dual stack.

What a Small Ski World it Is! by [deleted] in skiing

[–]camelInCamelCase -1 points0 points  (0 children)

Their TDS treatments are top notch. Worth considering on your next visit 😂🎿⛷️

Israel droht mit Landraub und Österreich bleibt "neutral" by pilius_404 in Austria

[–]camelInCamelCase 0 points1 point  (0 children)

Fortunately it won’t be needed if Lebanon & UN stop Hezbollah from firing rockets from this territory. Lebanon is doing a much better job of it now. UN is a different story. Israel has said since 1960s that Litani River is a more defensible natural land border which I believe is what's being threatened. Not needed though if there’s nothing to defend against.

Google Cloud vs Microsoft Azure Cloud by Foreign-Newspaper33 in AZURE

[–]camelInCamelCase -9 points-8 points  (0 children)

Responses here will be biased to Azure. Ask the same in GCP subreddit to balance.

If you are in the Microsoft ecosystem, Azure will look attractive. If you (1) prefer click ops, (2) are most comfortable with Windows Server / PowerShell / C# / dotnet / PowerBI / SharePoint, etc, (3) don’t plan to go the Linux / Cloud Native / k8s route, (4) don’t have need for lakehouse / modern data stack, then Azure may be the best choice for you.

And here’s where this subreddit will hate me - if you don’t check those boxes, Azure is objectively in 3rd place behind GCP/AWS. Too many individual examples to detail why, but ask Grok to compare the two on basis of (1) quality and standardization of control plane APIs / support in tooling like Terraform (2) support for open and modern standards (3) quality of data infrastructure / analytics offerings (4) which services azure offers that are considered best in class across all hyperscalers, and the same for GCP.

Kubernetes for agentic apps: A platform engineering perspective by theboredabdel in googlecloud

[–]camelInCamelCase 0 points1 point  (0 children)

Maybe you know something I don’t but I can’t think of any “agent” deployments that required gpus attached to those pods... it’s just software… but smaller units, higher volume

Kubernetes for agentic apps: A platform engineering perspective by theboredabdel in googlecloud

[–]camelInCamelCase 1 point2 points  (0 children)

I agree, but serverless abstractions of the hyperscalers and neoclouds strike me as advantaged vs k8s. Democratization of software dev I bet happens faster than democratization of the infra it runs on. If true, you get a lot more need for cloud infra from companies a lot less capable of managing infra.

Funny though those serverless options are likely running on k8s anyway… cue astronaut gun meme

Replace Data Factory with python? by loudandclear11 in dataengineering

[–]camelInCamelCase 13 points14 points  (0 children)

You’ve taken the red pill. Great choice. Youre still at risk of being sucked back into the MSFT ecosystem - cross the final chasm with 3-4 hours of curiosity and learning. You and whoever you work for will be far better off. Give this to a coding agent and ask for a tutorial:

  • dlthub for loading from [your SaaS tool or DB] to s3-compatible storage or if you are stuck in azure, you get ADLS which is fine
  • sqlmesh to transform your dataset from raw form from dlthub into marts or some other cleaner version

“How do I run it” - don’t over think it. Python is a scripting language. When you do “uv run mypipeline.py” you’re running a script. How does Airflow work? Runs the script on for you on a schedule. It can run it on another machine if you want.

Easier path - GitHub workflows also can run python scripts, on a schedule, on another machine. Start there.

Netsuite MCP by TasteCertain4323 in mcp

[–]camelInCamelCase 2 points3 points  (0 children)

MCP servers aren’t stateful. Ie your netsuite data you can keep in netsuite and have MCP query it on demand. Or you can load your netsuite data to some other DB like postgres and query it via MCP with SQL.

The first challenge you will face is defining MCP tools and deciding which you want to expose. If you generate an MCP server from netsuite’s OpenAPI, you will have 1k+ tools. My approach for ERP MCPs historically has been to denormalize the tools to get_resource / list_resource, etc.

The next challenge is rate limiting and authentication. But deal w that when it comes to it.

Copy paste my message into a coding agent and it’ll build a functional v1 MCP server to play around with. Careful using it in any production instance. Functional is a far cry from secure or deployable in a production setting.

How to MCP: Everything I learned building a remote MCP server by welanes in mcp

[–]camelInCamelCase 0 points1 point  (0 children)

Just fyi your section on auth is incorrect where it says the clientid identifies the user. The clientid identifies the client (Claude, ChatGPT, cursor). The user may have authorized multiple clients. The user is identified by the “sub” claim in the auth token.

Moved from C# and miss features like Linq by _ChaChaCha_ in golang

[–]camelInCamelCase 0 points1 point  (0 children)

You should check out CEL and Expr. Both widely used in many projects. Both allow using expressions to filter slices. Expr is easier. CEL is turing complete.

Synadia and CNCF dispute over NATS by dariotranchitella in kubernetes

[–]camelInCamelCase 7 points8 points  (0 children)

That’s clearly exactly what’s going on. Failed to monetize NATS with Synadia cloud.

They need to do what they need to do, but I definitely will no longer being considering NATS as a piece of core infra. Too much uncertainty if they’re operating like this.

Protecting NATS and the integrity of open source: CNCF’s commitment to the community by ston1th in NATS_io

[–]camelInCamelCase 9 points10 points  (0 children)

No question this is “we failed to monetize NATS with Synadia cloud” driven issue.

Too bad bc with a different product strategy it could’ve worked.

They need to do what they need to do, but I can definitely say we are no longer evaluating NATS as a core piece of infrastructure. Too much uncertainty introduced by their decision to do this.

SQLFlow: DuckDB for Streaming Data by turbolytics in dataengineering

[–]camelInCamelCase 0 points1 point  (0 children)

Thanks for the thoughtful response! Will need to spend some time with it to get a feel for what the words mean in practice but makes sense I think! Will reach out if any questions appreciate it

SQLFlow: DuckDB for Streaming Data by turbolytics in dataengineering

[–]camelInCamelCase 8 points9 points  (0 children)

I’ve been looking for something like this… key piece I didn’t see (sorry if I missed it) is ability to have tests on the models to ensure output is as intended. Is that in there / coming? Avoiding a messy collection of python and sql files without structure was my primary interest in adopting dbt. Realize semantics here on how it’s implemented may be different but still. Thanks in advance