monogon VS grouparoo

It's somewhere in my git stack :).

Until I get to publishing it, the proto/gRPC definitions for node management are a good enough start: https://github.com/monogon-dev/monogon/blob/main/metropolis/...

And the top level API to actually deploy workloads is plain Kubernetes.

Monogon, a fully remote, self-funded and engineer-led technology company, is hiring software engineers to work on Metropolis, an open source [1], secure, distributed cluster operating system based on Linux and Kubernetes.

Metropolis runs on a fleet of bare metal or cloud machines and provides users with a hardened, production ready Kubernetes - without the overhead of traditional Linux distributions or configuration management systems. It does away with the scripting/YAML duct tape and configuration drift inherent to traditional deployments, and instead provides a stable, API-driven, secure and vendor-lock-in-free platform for companies to build their products upon.

We're looking for senior candidates who can design, implement and verify complex systems that will make up part of Metropolis. We offer a kind and honest work environment in which we prioritize quality over quantity. You'll be the fourth member of a team working on an ambitious, industry-challenging product.

Our ideal candidate is a generalist with deeper knowledge in one or more of the following areas:

- Distributed systems;

- Software engineering of systems built to last;

- Security engineering, especially experience with secure boot chains;

- Low-level programming and debugging (C, Linux Kernel, …);

- Kubernetes, especially practical experience of running bare-metal production deployments;

- Platform development, ie. running a 'Company A' style infrastructure/DevOps team [2].

Our codebase is mostly Go (including pid1!), so knowledge of the language is a plus, but not a requirement (given the seniority of the position, we expect any candidate to be able to ramp up on Go within a few weeks).

To get in touch, email me at at nexantic.com.

[1] - https://github.com/monogon-dev/monogon

[2] - https://rachelbythebay.com/w/2020/05/19/abc/

- Platform development, ie. running a 'Company A' style infrastructure/DevOps team [2].

Our codebase is mostly Go (including pid1!), so knowledge of the language is a plus, but not a requirement (given the seniority of the position, we expect any candidate to be able to ramp up on Go within a few weeks).

To get in touch, email me at at nexantic.com.

[1] - https://github.com/monogon-dev/monogon

Reverse ETL is on AirByte's roadmap under the "Future / Not prioritized" section. I wanted to use Grouparoo as a short term solution, but the repo was archived and I think they stopped taking new cloud customers (unknown if this is wrong/outdated).

There are other tools that we will have to adopt in the future but haven’t yet due to lack of necessity. Specifically, one category that is popular in modern data stacks is Reverse ETL (Hightouch, Census, or Grouparoo). We currently don’t have a usecase for piping data back into 3rd party tools but it will definitely come up in the future.

Reverse ETL: Grouparoo, Castled

Grouparoo, the open source Reverse ETL tool we are building, does all of these things. https://www.grouparoo.com

Ingestion / ETL: Airbyte, Singer, Jitsu Transformation: dbt Orchestration: Airflow, Dagster Testing: GreatExpectations Observability: Monosi Reverse ETL: Grouparoo, Castled Visualization: Lightdash, Superset

Grouparoo | Remote (US) | Remote-OK | https://www.grouparoo.com

Grouparoo is a venture-backed software company building open source data tools that make data reliable, accessible, and actionable. We’re empowering teams to make great customer experiences, driven by data. While engineering teams have gotten good at storing and generating data about their customers, it’s rare that this data is used to its full potential in external applications. Grouparoo makes these integrations easy by providing a framework for defining your customer data and reliably syncing it to external tools.

To learn more about who we are, our engineering culture, and whether this is the right place for you, read our Key Values profile: https://www.keyvalues.com/grouparoo

Here are our open roles:

- Senior Backend / Lead Engineer: https://jobs.lever.co/grouparoo/6ba485d1-a5a4-41f0-9fa5-920a...

- Developer Advocate: https://jobs.lever.co/grouparoo/5e1531b4-7ec8-4c10-8e52-fc23...

Tech Stack: TypeScript / Javascript / Node.js, ActionHero, React + Next.js, Postgres & Redis, and whole lot of third-party APIs!

Congrats on the launch! Hightouch looks great and this need is real. Things seem to be going well, so I don't think I'm taking too much away by mentioning that we have been been working on Grouparoo, an open source alternative that solves similar pain points.

A few differences: git developer workflow focused (branches, CI, PRs, etc), ability to self host, segmentation in destinations (tagging people in mailchimp based on rules, for example)

https://www.grouparoo.com

We are building Grouparoo. Obviously, it's a biased sample but we are seeing a few trends at play.

Has anyone heard or used of reverse etl or Hightouch or open sourced Grouparoo?