Google Kubernetes Engine
Kubernetes
Amazon ECS
Docker
OpenShift Container Platform
Amazon EKS
Inuvika OVD Enterprise
Rancher
DepHell
Metaflow
Luigi
Azkaban
Activeeon
Apache Airflow
RunDeck
Docker
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Based on our record, Google Kubernetes Engine seems to be a lot more popular than DepHell. While we know about 49 links to Google Kubernetes Engine, we've tracked only 4 mentions of DepHell. 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.
Integration with Google Kubernetes Engine (GKE), which supports up to 65,000 nodes per cluster, facilitating robust AI infrastructure. - Source: dev.to / 3 months ago
In my previous post, we explored how LangChain simplifies the development of AI-powered applications. We saw how its modularity, flexibility, and extensibility make it a powerful tool for working with large language models (LLMs) like Gemini. Now, let's take it a step further and see how we can deploy and scale our LangChain applications using the robust infrastructure of Google Kubernetes Engine (GKE) and the... - Source: dev.to / 5 months ago
Kubernetes cluster: You need a running Kubernetes cluster that supports persistent volumes. You can use a local cluster, like kind or Minikube, or a cloud-based solution, like GKE%20orEKS or EKS. The cluster should expose ports 80 (HTTP) and 443 (HTTPS) for external access. Persistent storage should be configured to retain Keycloak data (e.g., user credentials, sessions) across restarts. - Source: dev.to / 6 months ago
In a later post, I will take a look at how you can use LangChain to connect to a local Gemma instance, all running in a Google Kubernetes Engine (GKE) cluster. - Source: dev.to / 8 months ago
Google Kubernetes Engine (GKE) is another managed Kubernetes service that lets you spin up new cloud clusters on demand. It's specifically designed to help you run Kubernetes workloads without specialist Kubernetes expertise, and it includes a range of optional features that provide more automation for admin tasks. These include powerful capabilities around governance, compliance, security, and configuration... - Source: dev.to / about 1 year ago
I've found https://github.com/dephell/dephell but seems to be outdated. Source: over 2 years ago
I had a few relatively famous projects (like dephell), and at some point I lost my sleep because I was "fixing bugs" in it in my head in the middle of the night. Archiving it, closing issues in everything else, and starting to just write projects for my own fun only was the best decision I ever made. Don't make my mistakes. Don't ask random people on the internet what you should do. Do what you want to do and... Source: almost 3 years ago
You jest and yet... https://github.com/dephell/dephell Dephell is a converter for python packaging systems. It can turn poetry files into requirements.txt, or setuptools' setup.py into pipenv's Pipfile etc. Python Packaging: There is More Than One Way to Do It. - Source: Hacker News / over 3 years ago
Not necessarily. You can use Dephell (https://github.com/dephell/dephell) to convert from poetry to the old-fashioned requirements.txt. Source: about 4 years ago
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.
Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance container management service that supports Docker containers.
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Azkaban - Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.