Traefik
nginx
AWS Elastic Load Balancing
Haproxy
Google Cloud Load Balancing
Nginx Proxy Manager
Azure Traffic Manager
Kemp LoadMaster
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
Traefik JupyterBased on our record, Jupyter should be more popular than Traefik. It has been mentiond 216 times since March 2021. 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.
I began to self-host a Minecraft server using Crafty Controller, an Excalidraw instance, Docmost to replace Notion, Plane to replace Jira, and Penpot to replace Figma. To be able to access them from the internet, I used Nginx Proxy Manager to set up reverse proxies with SSL. You can use Traefik or Caddy instead, but I enjoyed the ease-of-use of NPM. For a dashboard solution, I started with Homarr, but later... - Source: dev.to / about 1 month ago
Before diving into the specifics of Nginx and Traefik, let’s quickly define what a reverse proxy is. A reverse proxy sits between the client (browser or other services) and your backend services (web servers or applications). It handles incoming requests, routes them to the appropriate backend service, and forwards the response to the client. Reverse proxies are typically used for:. - Source: dev.to / 4 months ago
You may wonder why one would even want to expose the Docker socket when there are clearly risks involved. A popular usecase besides accessing remote Docker daemons (which you can actually expose over a TCP socket) are applications that either need control of the daemon to manage other containers, like for example Portainer, or tools that need information about containers for auto discovery purposes, like Traefik.... - Source: dev.to / 8 months ago
I emphasize usually because K3s is different and comes with a Traefik-based ingress controller by default. Taking that into account, as much as I like NGINX outside the container's world, I'd rather keep things simple and use what's already in place. - Source: dev.to / 8 months ago
In previous post, we discussed creating a basic Nomad cluster in the Vultr cloud. Here, we will use the cluster created to deploy a load-balanced sample web app using the service discovery capability of Nomad and its native integration with the Traefik load balancer. The source code is available here for the reference. - Source: dev.to / about 1 year ago
Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / 2 months ago
LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 3 months ago
Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 4 months ago
Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 8 months ago
One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 11 months ago
nginx - A high performance free open source web server powering busiest sites on the Internet.
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.
AWS Elastic Load Balancing - Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Haproxy - Reliable, High Performance TCP/HTTP Load Balancer
Google BigQuery - A fully managed data warehouse for large-scale data analytics.