ricklamers

16 ms·

91.
by ricklamers 4y ago
I think this is actually great news. After acquisition the conglomerate level scale will slow innovation. Freeing up opportunity for talented folks to start companies in the space in the areas that are being underserved by Goliath. In addit
92.
by ricklamers 4y ago
The flexibility of code as configuration is indeed somewhat of a footgun at times. That’s why with Orchest we went with a declarative JSON config approach. We take inspiration from the Kubeflow project and run tasks as containers. With a GU
93.
by ricklamers 4y ago
We kept hearing this from our users. We’ve just released our k8s operator based deployment of Orchest that should give you a good experience running an orchestration tool on k8s without much trouble. https://github.com/orch
94.
by ricklamers 4y ago
Orchest | Python/k8s Engineer | Europe | Full-Time | Fully remote (UTC +-3) Orchest lets data scientists focus on what matters. It’s our mission to free data science teams from infrastructure tasks and complexity. We make the data plat
95.
by ricklamers 4y ago
Superb VCS integration and really intuitive Dockerfile centric platform by https://northflank.com Worth trying it out yourself, they’re dirt cheap atm.
96.
by ricklamers 5y ago
Orchest | Front-end Engineer, Python/k8s Engineer | The Netherlands | Full-Time | Fully remote (UTC +-3) Orchest lets data scientists focus on what matters. It’s our mission to free data science teams from infrastructure tasks and comp
97.
by ricklamers 5y ago
In case you want to start creating batch jobs too I’d recommend checking out Orchest (www.orchest.io). It has a generous free tier and supports GPU instances. The platform itself is self-hostable too and open source ( https://gith
98.
by ricklamers 5y ago
I see some great recommendations in the thread already, but I think https://cocalc.com is definitely worth checking out if you consider yourself to still be more of a learner. Their focus seems to really be on helping people who
99.
by ricklamers 5y ago
Complement. Snowpark pushes compute to the SQL engine. That’s a better model for Streamlit’s dashboard code anyway :)
100.
by ricklamers 5y ago
Orchest | Front-end Engineer | The Netherlands | Full-Time | Fully remote (UTC +-3) Orchest lets data scientists focus on what matters. It’s our mission to free data science teams from infrastructure tasks and complexity. We make the data p
101.
by ricklamers 5y ago
This is awesome! Notebook centric static analysis is definitely going to help data scientists level up their game. Tools like this help you improve your coding style simply by observing the changes that are proposed by it. We have customers
102.
by ricklamers 5y ago
I like this post, because in many ways it highlights the importance of how Airflow has helped shape the modern data stack. Like mentioned in this thread, managing Airflow can quickly become complicated. Its flexibility means that you can st
103.
by ricklamers 5y ago
Glad you asked. Simply deploy the Orchest OSS to a VM of choice ( https://docs.orchest.io/en/latest/getting_started/installati... ) or use https://cloud.orchest.io and then create scheduled Jobs. h
104.
by ricklamers 5y ago
Awesome! Thanks for sharing. I personally believe big ambitions lead to a more interesting journey, as well as having the ability to have more impact at scale. Impressive MRR!
105.
by ricklamers 5y ago
Congrats on the launch! It’s great to see validation of the usefulness of notebooks in data workflows even when moving beyond the proof of concept/exploration stage into production type workloads and deployments. Once deployed, iterati
106.
by ricklamers 5y ago
On the about page you mentioned that you raised instead of continuing on the bootstrapped path. What made you pull the trigger? My first impression when I checked out the landing page and product was: this is a perfect bootstrapped SaaS pro
107.
by ricklamers 5y ago
In particular, I really like how the build services work in NF. Dockerfile as the central focus and very easy configuration even for relatively complicated build setups.
108.
by ricklamers 5y ago
Orchest | Front-end Engineer | The Netherlands | Full-Time | Remote (UTC +-3) Orchest lets data scientists focus on what matters. It’s our mission to free data science teams from infrastructure tasks and complexity. We make the data platfor
109.
Northflank – Simplifying application deployment to cloud platforms(northflank.com)
41 points by ricklamers 5y ago|9 comments
110.
by ricklamers 5y ago
Really interesting response. While there's absolutely much to love about Kedro (we spoke to the core dev team - they're a fantastic bunch), we created Orchest to counter the cons you mentioned. https://github.com/o
111.
by ricklamers 5y ago
Orchest | Front-end Engineer | The Netherlands | Full-Time | Remote (UTC +-3) Orchest lets data scientists focus on what matters. It’s our mission to free data science teams from infrastructure tasks and complexity. We make the data platfor
112.
Building inter-thread messaging from scratch(questdb.io)
1 points by ricklamers 5y ago|2 comments
113.
by ricklamers 5y ago
I liked some of the points in this thread https://twitter.com/g_s_bhogal/status/1438972527838117895 Like “Cumulative Culture: Humanity's success is due not to our individual IQs but to our culture, which stoc
114.
by ricklamers 5y ago
Orchest | 2 roles: [Backend Engineer (Python + k8s)|Developer Relations] | Full-Time | REMOTE (Europe timezones) Orchest lets data scientists focus on what matters. It’s our mission to free data science teams from infrastructure tasks and l
115.
by ricklamers 5y ago
This post really resonates with why we created Orchest [0] From the article: "involve two full sets of tools: one for the dev environment, and another for the prod environment" This is what we think should change. We intend to bri
116.
by ricklamers 5y ago
Orchest | 2 roles: [Backend Engineer (Python + k8s)|Developer Relations] | Full-Time | REMOTE (Europe timezones) Orchest lets data scientists focus on what matters. It’s our mission to free data science teams from infrastructure tasks and l
117.
by ricklamers 5y ago
This would have been a great chance to extend notebooks and make them the development environment for great looking reports (through a transform step from the completed notebook). I think if you ask whether analysts enjoy coding in markdown
118.
by ricklamers 5y ago
Orchest | 2 roles: [Backend Engineer (Python + k8s)|Developer Relations] | Full-Time | REMOTE (Europe timezones) Orchest lets data scientists focus on what matters. It’s our mission to free data science teams from infrastructure tasks and l
119.
Interview with Vlad of QuestDB: “the problem was that I didn’t own a computer”(console.dev)
3 points by ricklamers 5y ago|0 comments
120.
by ricklamers 5y ago
Please try to refrain from personal attacks on people. It’s very disrespectful, especially when someone has clearly dedicated so much of their time to public works.

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