Kubernetes might be a bit more popular than Jupyter. We know about 292 links to it since March 2021 and only 206 links to Jupyter. 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.
Recently, I’ve spent some time playing around with Kubernetes (K8s). Having never used it before, I gave it my humble first try. I used it as part of a project where I wanted to use self host some tools on a VPS and write some server code for some life automations and potentially a blog in the future. You can find the Github Repo for the project at the time of writing for it here. - Source: dev.to / 5 days ago
Kubernetes - An open-source system for automating deployment, scaling, and management of containerized applications. Kubernetes Documentation - Official documentation. - Source: dev.to / 5 days ago
A manufacturing company might leverage a combination of Kafka for real-time data streaming, Kubernetes for container orchestration, and dbt for data transformations. They could use Dataplex for unified data management and security across domains. This technology stack would enable the Production Data team to monitor and analyze production metrics in real-time, the Supply Chain Data team to manage and optimize... - Source: dev.to / 7 days ago
The best method to counter these problems is CloudNativePG operator, this operator manages PostgreSQL workloads on any supported Kubernetes cluster. - Source: dev.to / 7 days ago
Stacklok was founded in 2023 by Craig McLuckie (co-creator of Kubernetes) and Luke Hinds (creator of the OpenSSF project Sigstore), with the goal of helping developers produce and consume open source software more safely. - Source: dev.to / 9 days ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / 28 days ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / about 2 months ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / about 2 months ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / about 2 months ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 3 months ago
Rancher - Open Source Platform for Running a Private Container Service
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Helm.sh - The Kubernetes Package Manager
Google BigQuery - A fully managed data warehouse for large-scale data analytics.