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Top 4 Python Minikube Projects
⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.
Small Flask app with scalable, asynchronous backend workers deployed on Kubernetes.
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
Deploy a Tezos Blockchain on Kubernetes
Hassle-free ML Pipelines on KubernetesProject mention: Deploying speech recognition models at scale | /r/mlops | 2023-06-03
I built Paradigm from scratch to deploy any model at scale. It deploys the model on Kubernetes with load balancers. If you run into any issues, I'm happy to guide you on how to use it.
Python Minikube related posts
Which is the best MLOps tool for getting started?
1 project | /r/mlops | 23 May 2023
I use this OS tool to deploy LLMs on Kubernetes.
1 project | /r/llmops | 1 May 2023
Serving Scikit-Learn model on EC2 instance and Scaling
1 project | /r/mlops | 1 May 2023
Who wants to run ML pipelines on Kubernetes? This might be the simplest tool for the job.
2 projects | /r/mlops | 1 May 2023
[P] I found the simplest tool to run ML pipelines on Kubernetes. Github link in comments.
1 project | /r/MachineLearning | 30 Apr 2023
Error with archive-node using tezos-k8s (kuberneties) Invalid data directory '/var/tezos/node/data'
1 project | /r/tezos | 31 May 2022
21 Resources and Tutorials to Learn Kubernetes
1 project | /r/kubernetes | 21 Oct 2021
A note from our sponsor - Sonar
www.sonarsource.com | 27 Sep 2023
What are some of the best open-source Minikube projects in Python? This list will help you: